RiskandReward - Premia Research LLC

43
© Metal Bulletin plc 2001. All rights reserved. No part of this publication (text, data, or graphics) may be reproduced, stored in a data retrieval system, or transmitted, in any form whatsoever or by any means (electronic, mechanical, photocopying, recording or otherwise) without obtaining Metal Bulletin plc’s prior written consent. Unauthorised and/or unlicensed copying of any part of this publication is in violation of copyright law. Violators may be subject to legal proceedings and liable for substantial monetary damages per infringement as well as costs and legal fees. For information about copyright licences please contact Rhoda Embling, COPYWATCH in the UK on +44 (020) 7827 9977. Brief extracts may be used for the purposes of publishing commentary or review only provided that the source is acknowledged. Published jointly by FOW and MAR/Hedge The reports on investment managers in this publication are based solely on information and data supplied by the respective investment manager. The accuracy and completeness of such information and data have not been verified by the publisher, and therefore we do not and cannot guarantee the accuracy or completeness of such information. Further, any statement non-factual in nature and any statements of opinion constitute only current opinions of the authors, which are subject to change and not necessarily the opinions of the publisher. No information in this newsletter constitutes or should be interpreted as a solicitation for investment in any of the investments reported on. A prospective client should independently investigate an investment manager before engaging the services of that manager, and should consult with independent qualified sources of investment advice and other legal and tax professionals before using the services of an investment manager. Due to, among other things, the volatile nature of the markets in which the investments and investment managers reported in this publication are involved, the investments written about in this newsletter may only be suitable for certain qualified investors, and may be subject to other requirements and/or restrictions enacted and/or enforced by national and/or local regulatory agencies. Past performance records as reported should not be considered indicative of future results. © 2001 by Managed Accounts Reports Inc. All rights reserved. Reproduction in any form whatsoever forbidden without permission. Risk and Reward strategic thinking in alternative assets September 2001 Aussie rules 16 Australia has just established a chapter of Aima and is experiencing substantial growth in alternative investments. We look at the providers and investors and future directions. Simon Segal. Stock tactics 21 The stock market turbulence is serving only to sharpen up provision of equity options analytics, particularly online. We review the products and the trends. Andy Webb. New manager profile: Nothing ails (y)a 26 Yes, it’s a contrived headline, alright, but with the backgrounds and niche these guys have, you’d be hard pressed to find reasons why Ailsa Capital wouldn’t succeed. Kim Hunter Stress testing 29 We thought it was about time we looked at what makes us tick as human beings, so in the first article in a personal and professional development series, we take a good hard look at the stress monster. Florence Lombard & Sue Liburd. Two heads are better than one 34 ‘Artificial intelligence’ might have slipped into the lexicon, but what does it actually mean? And how do you build a system that can help make investment decisions? Our real-life rocket scientist tells us how. Vlade Milanovich. Life at Sharpe’s end 39 We all know the Sharpe Ratio is not the last word in performance measurement, but here we assess its probable complete misapplication to hedge fund strategies containing written optionality. Hilary Till. Features Regulars Contributors 4 The low-down on R&R’s experts Editorial comment 5 A letter from R&R’s consultant editor First movers 6 Innovations in fund structures and services People moves 10 Who’s gone where and why New fund launches 14 A digest of recent and upcoming launches Legal review 44 Pumping and dumping, the hedge fund way (and what the regulars are going to do about it) Zurich Capital Markets data 47 Performance-related statistics and commentary Survey 50 Cap Gemini Ernst & Young’s asset management systems survey 2001 Contents

Transcript of RiskandReward - Premia Research LLC

© Metal Bulletin plc 2001. All rights reserved. No part of this publication (text, data, or graphics) may be reproduced, stored in a data retrieval system, or transmitted, in any form whatsoever or by any means(electronic, mechanical, photocopying, recording or otherwise) without obtaining Metal Bulletin plc’s prior written consent. Unauthorised and/or unlicensed copying of any part of this publication is in violation ofcopyright law. Violators may be subject to legal proceedings and liable for substantial monetary damages per infringement as well as costs and legal fees. For information about copyright licences please contact RhodaEmbling, COPYWATCH in the UK on +44 (020) 7827 9977. Brief extracts may be used for the purposes of publishing commentary or review only provided that the source is acknowledged.

Published jointly by FOW and MAR/Hedge

The reports on investment managers in this publication are based solely on information and data supplied by the respective investment manager. The accuracy and completeness of such information and data have not beenverified by the publisher, and therefore we do not and cannot guarantee the accuracy or completeness of such information. Further, any statement non-factual in nature and any statements of opinion constitute only currentopinions of the authors, which are subject to change and not necessarily the opinions of the publisher. No information in this newsletter constitutes or should be interpreted as a solicitation for investment in any of theinvestments reported on. A prospective client should independently investigate an investment manager before engaging the services of that manager, and should consult with independent qualified sources of investmentadvice and other legal and tax professionals before using the services of an investment manager. Due to, among other things, the volatile nature of the markets in which the investments and investment managers reportedin this publication are involved, the investments written about in this newsletter may only be suitable for certain qualified investors, and may be subject to other requirements and/or restrictions enacted and/or enforced bynational and/or local regulatory agencies. Past performance records as reported should not be considered indicative of future results.© 2001 by Managed Accounts Reports Inc. All rights reserved. Reproduction in any form whatsoever forbidden without permission.

Risk and Rewardstrategic thinking in alternative assets

September 2001

Aussie rules 16Australia has just established a chapter ofAima and is experiencing substantialgrowth in alternative investments. We look at theproviders and investors and future directions. SimonSegal.

Stock tactics 21The stock market turbulence is serving onlyto sharpen up provision of equity optionsanalytics, particularly online. We review theproducts and the trends. Andy Webb.

New manager profile: Nothing ails (y)a 26Yes, it’s a contrived headline, alright, butwith the backgrounds and niche these guys have,you’d be hard pressed to find reasons why AilsaCapital wouldn’t succeed. Kim Hunter

Stress testing 29We thought it was about time we looked atwhat makes us tick as human beings, so inthe first article in a personal and professionaldevelopment series, we take a good hard look at thestress monster. Florence Lombard & Sue Liburd.

Two heads are better than one 34‘Artificial intelligence’ might have slippedinto the lexicon, but what does it actuallymean? And how do you build a system that canhelp make investment decisions? Our real-life rocketscientist tells us how. Vlade Milanovich.

Life at Sharpe’s end 39We all know the Sharpe Ratio is not the lastword in performance measurement, but herewe assess its probable complete misapplication tohedge fund strategies containing written optionality.Hilary Till.

Features

RegularsContributors 4The low-down on R&R’s experts

Editorial comment 5A letter from R&R’s consultant editor

First movers 6Innovations in fund structures and services

People moves 10Who’s gone where and why

New fund launches 14A digest of recent and upcoming launches

Legal review 44Pumping and dumping, the hedge fund way(and what the regulars are going to do about it)

Zurich Capital Markets data 47Performance-related statistics andcommentary

Survey 50Cap Gemini Ernst & Young’s assetmanagement systems survey 2001

Contents

4 SEPTEMBER 2001 RISK & REWARD

Simon Segal, freelance writerSimon Segal is a freelance financial journalist based in Sydney. He has recently relocated from South Africa where forseventeen years he was involved in researching, writing and commenting on a broad range of issues relating to financialmarkets, macroeconomics, investment, corporate profiles, industrial relations, agriculture and socio-economicdevelopment. He has an MBA degree, is the recipient of a number of prestigious awards for financial journalism andconsulted to high profile organisations involved in the dissemination of information that includes South Africa’s Truth andReconciliation Commission, public broadcaster SABC and media trainers Institute for the Advancement of Journalism.

Florence Lombard, executive director, Alternative Investment Management Association,London As executive director of AIMA since January 1993, Florence is responsible for its day-to-day management, as well asthe development and implementation of projects in the areas of research, regulation and education. She is also incharge of the development of the Association in Asia and the Middle East. During the last five years, she has studieddifferent areas of personal development including neuro-linguistics and coaching. She leads weekend workshops invarious European countries and qualified this year as an NLP Coach.

Vlade Milanovic, Nomura InternationalVlade is a computer programmer, who has for the last five years worked for investment banks in London; currently heis with Nomura International. Since the early 1990s Vlade has been developing forecasting and trading models using artificial intelligence tools.Currently he is completing a PhD at Brunel University on the application of advanced technologies for trading financialmarkets, including neural networks, genetic algorithms and natural language processing systems.Vlade studied at the Technical Military Academy in Yugoslavia, where he specialised in rocket engineering for surface-to-surface missile systems. After graduating he worked at the Orao Aircrafts works, where he was responsible fortesting flights systems for MIG fighter jets.

Dick Frase, Decherts Dick Frase has specialised in the legal and regulatory aspects of financial services since the 1980s. He has worked in-houseat the Securities & Futures Authority and as general counsel for MeesPierson ICS in London; and was featured by LegalBusiness in their ‘highly recommended’ listing of lawyers in the managed futures area. From 1994 to 1998 he was head oflitigation at the Personal Investment Authority, joining Dechert’s London practice in late 1998. He specialises in regulation,investment management, broker-dealing and retail investment products. He has contributed chapters to books on futurestrading and hedge funds, and is currently editing a new book for Sweet & Maxwell on the law and regulation of investmentexchanges. Decherts‘ London practice focuses on multinationals, hedge funds and alternative investments.

Contributors

Hilary Till, principal, Premia Capital ManagementHilary has been involved in the commodity derivatives markets since 1990, when she developed the pricing and riskmanagement system for Chicago-based Continental Bank's commodity derivatives desk. In 1992-3, she set up HarvardManagement Company's commodity investment programme. From 1994-8, she was Boston-based Putnam Investment'scommodity portfolio manager for institutional clients, and its chief of derivatives strategies from 1995 to 1998. From 1998to the present, she has been a principal at Premia Capital Management, LLC, a firm which has developed systematic, total-return futures products.Hilary holds a BA (Hons) in statistics from the University of Chicago and an MSc in statistics from the London School ofEconomics (LSE).

Sue Liburd, managing director Sage BlueSue Liburd, md of Sage Blue and non-executive director of a number of small companies, is an experienced HR managementand employee development professional, workshop facilitator, creative management consultant and personal effectivenesscoach. She works internationally in multinationals as well as small businesses, across a range of industry sectors.Her practice is centred on looking beyond the traditional to achieve realistic workable solutions to real problems and needs.Sue is an experienced stress debriefer, subscribing to the view that stress is not bad in itself, but ‘just a funky message’ – aninvitation to make a change for the better. If you don't want the message to get louder, she says, all you have to do is listen.

Andy Webb, freelance finance writerAndy Webb is a freelance finance and technology writer with 18 years' experience, most recently specialising inderivatives, technology and trading methodologies. He has written regularly for a wide range of journals including TheSunday Times, Sunday Business, Futures & Options World, Treasury & Risk Management, Global Finance, DerivativesStrategy and Wall Street & Technology.

DDeeaarr FFrriieennddss,,

Well, summer’s over. It’s time to put away frivolous things and get back to serioussubjects again. If we don’t, the regulators will do it for us.

In this issue’s legal and regulatory review (p. 44) Dick Frase details the SEC’s firstaction against portfolio pumping and dumping in a hedge fund context. Whichbrings us, in an almost straight line, to pricing in general.

Read the results of CMRA’s fair pricing/NAV survey on p. 6, whose most horrifyingconclusion probably comes courtesy of those who didn’t take part. When principalLeslie Rahl asked them why not, many managers told her that somebody else –often external to the fund manager – was responsible for that kind of thing.

Which makes you wonder who was responsible for valuation at MJ Select, which as R&R was going to press wasin the midst of disclosing losses that seem to have grown almost weekly since its figures were first reported in earlyJuly. By late August the initial 0.5% return for June and translated into a 4.4% loss. According to a letter to investorsfrom Oceanic Bank & Trust, administrators for two of the ultimate investment funds invested in by MJ Select Global,were having difficulties in valuing the funds’ assets.

While we are querying valuations this month, one of our authors has also had a go at that hallowed hedge fundperformance measurement tool, the Sharpe ratio. In the first in a pair of articles on performance measurement,Hilary Till uncovers hedge fund strategies whose return comes not from alpha but from buying economic risks otherfinancial institutions do not want to own. Such strategies’ implicit short optionality makes them unsuitable formeasurement by the Sharpe ratio, she concludes (p. 39).

But let’s not be too serious. It’s bad for your health. Or so say Florence Lombard and Sue Liburd on their article onstress busting on p.29. According to Florence, potential investors will pick up on a stressed out organisation; it’s timeto do something about it. And for quality smile-time you could do worse in the first instance than read VladeMilanovich’s article on artificial intelligence. This former rocket scientist has just run tests on his own AI system andcome up with returns that beat the S&P 100 by 50 percentage points over three years. That’s what I call a good read.

With best wishes,

Kim HunterConsultant editor

RISK & REWARD SEPTEMBER 2001 5

Letter from the editor

consultant editorKim Hunter+44 (0)20 7827 6407email: [email protected]

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6 SEPTEMBER 2001 RISK & REWARD

First movers

What with the pricing problems atManhattan Investment Fund andHeartland Advisors, and the first SECaction against ‘pumping and dump-ing’ (see legal review, p44), it is notsurprising that pricing issues areattracting widespread attention.

The Investor Risk Committee, thecommittee of the InternationalAssociation of Financial Engineerscharged with developing risk man-agement standards, has just issuedits second report, and Capital MarketRisk Advisors has undertaken its ownsurvey into NAV/fair value practices.

Tanya Beder, md of CaxtonAssociates and IRC chairman, says,“The IRC approach is that an indus-try standard approach should betaken to perform calculations such asVaR. This therefore requires stan-dards pricing of the risk factors at aminimum.”

While over 200 individuals fromhedge funds and institutionalinvestors have reached consensuson IRC findings, Beder says it is tooearly to predict that IRC’s work willbecome industry standard. However,IRC members have set an ambitiousagenda for the next phase of theirwork. As well as expanding the detailand content of current studies intopricing policy, the committee hasearmarked a redefinition of fund cat-egories such as long/short andglobal macro. This, says, Beder willenable fund and investors to betterbenchmark their activities againsttheir peers. All eventual standardswill remain voluntary.

Lights, CMRA, action?CMRA’s study focused highly regu-lated institutions, though didcomprise 26.7% hedge fund respon-dents. Principal Leslie Rahl believesthe mutual fund world is becomingattuned to and grouping around pric-ing issues, and that once theirguidance is tangible, hedge fundswill also adopt a set of standards.

The biggest issue is the difficultyin making NAV comparisons in a fieldwith so much variation in attributedvalue. For example, among thewidest variations come, not surpris-

ingly, in collateralised mortgageobligations. CMRA reviewed thedealer prices provided for a mort-gage hedge fund on a single dayand found differences between theprices provided by five CMO dealersranging from 6% to 44%. “With thesetypes of price differences the differ-ent methodologies for incorporatingdealer quotes can create significantlydifferent results,” says her report. Forexample, using the average of thedealer quotes created up to a four-point differences in valuation versususing the ‘drop the high and low,then average’ method.

The study also found that 22.2%of convertible bond funds makeadjustments to NAV of varying sizes,while the rest make no adjustments.“Which convertible bond funds arereally outperforming?” she asks.

Among the response set, repre-senting around $2 trillion in assets,only 13% made adjustments of somekind to the prices they receive fromtheir valuation sources. While mostrespondents indicated that adjust-ments represented less than 2% ofNAV, in some cases that figure roseto 30%. No respondents adjustedfor US government bonds. Rahlcomments, “One only has to remem-ber back to the illiquidity ofoff-the-run treasury in the fall of 1998to question whether a 1x1 market foran off-the-run issue is the appropri-ate mark for a $1bn position.”

The study also concludes that tra-ditional managers are more likelythan hedge fund or mutual funds torely on a single dealer quote. Neither,as already hinted, is there a consis-tent market practice governing howdealer quotes are incorporated intovaluations.

Rahl heads up all this detail onvariation among respondents with a stern word for non-respondents.While 93% of respondents docu-mented their pricing policies andexceptions, a “troubling number” of non-respondents claimed thatpricing issues were not theirresponsibility, but that of theircustodian, administrator, or third-party pricing services.

Price perfect“One only has to remember

back to the illiquidity of

off-the-run treasury in the fall

of 1998 to question whether

a 1x1 market for an off-the-

run issue is the appropriate

mark for a $1bn position.”

– Leslie Rahl, CMRA

8 SEPTEMBER 2001 RISK & REWARD

First movers

“We believe the joint

ownership creates the basis

for a longer relationship than

an advisory relationship does”

– Christopher Fawcett

Fauchier Partners and BNP ParibasAsset Management have teamed upto create a joint venture company tomanage BNP’s hedge fund FOFs.BNP Paribas Fauchier Partners Ltdplans to launch new productssometime this autumn.

Christopher Fawcett, Fauchier’sfinance director says this is the firstspecialist/institutional tie-in that hasgone the full joint venture route. “Webelieve the joint ownership createsthe basis for a longer relationshipthan an advisory relationshipdoes,” he says. He believes otherbanks will probably take a similarapproach, since building an in-house department with existing staffleads either to poor results or tostaff becoming frustrated at not hav-ing an equity stake and leaving.“The risk is infinitely lower with anindependent structure,” he says.

The new company has seniormanagement in place (thoughFawcett will not say who), and isbusy building its own team on the

floor below Fauchier Partners’London offices.

Responsibility between the twopartners will be divided so thatdemand is provided by the assetmanagement arm of the hugeParibas banking group. In thissense, for Fauchier Partners it is likehaving a huge client (BNP PAM has$150bn under management) a flightof stairs away.

Fauchier will construct and moni-tor the hedge fund portfolios.Product design will be based on theneeds of Paribas clients. (BNP has acouple of small FOFs already, whichwill form the basis of the new range.)

Fauchier has already done guar-anteed notes with the group.Fawcett comments, “Structuredproducts are an important part ofthe product range. Financial engi-neering is becoming more and moreimportant.” Fawcett expects suchstructures to be an important part ofthe work undertaken for BNP PAM’slargely institutional client base.

All tied up

Portfolio construction the 21stcentury

Standard Life’s risk managementteam has pooled the results of itsportfolio construction research in asoft-backed book of the samename. Portfolio construction – anintegrated approach focuses on thegeneral shape a portfolio shouldtake in order to meet predefinedrisk parameters, rather thanapproaching the issue from thestandard fund manager parametersof competition and aggression.

Investment risk director JulianCoutts takes a more objectiveframework for designing funds, frombenchmark setting to position taking.This framework leads to what Coutts(in common with test pilot assess-ments of safety regimes for aircraft)calls a ‘flight envelop’ for the fund. Inorder to ‘explode’ the fund risk intohow it can be forecast from otherparameters, the team has madeapproximations to cut to the main

decisions made by fund managers.The exploration begins with the

overall market a fund has to com-pete in and cuts into increasinglevels of detail. How should abenchmark be set? How much riskshould be taken at the asset alloca-tion level? How much risk should bedelegate to stock selectors? For agiven level of risk within an assetclass, how many stocks should bein the portfolio? If returns are pre-dicted, how heavily should theseviews be supported.

These are questions pertinent to the alternative and mainstreamsalike.

Investing in the 21st century, paper 2:Portfolio construction: an integratedapproach by Julian Coutts. Edinburgh:Standard Life Investments. 2001. Pricedetails unavailable. [email protected].

Fund managers write specs

for funds by considering the

competition and use their

combined years of wisdom to

set how aggressive a portfolio

should be – Julian Coutts

RISK & REWARD SEPTEMBER 2001 9

First movers

If you have an innovation infund, structure, or service,email [email protected]

Next month New York Board ofTrade will launch futures andoptions on the CMI index, the first ina series of products which, accord-ing to developers AssetSight, willimprove a hedge fund portfolio’sability to adequately protect a tradi-tional stock/bond portfolio.

The CMI Index takes both longand short positions in markets suchas commodities, currencies, and soon, in order to reflect the full rangeof hedge activity driving returns incommercial markets. Positions aredetermined according to predefinednon-forecasting rules to govern apassive, systematic, trend-followingtrading process. In so doing, CMIseeks to provide investors with ameans of ‘owning’ the price volatilitythat hedgers seek to offload.

As a result, while the long-volatil-ity CMI index is not correlated witheither hedge funds or with broadindices such as the S&P 500, it iscorrelated with actively managedfutures, with a higher risk-adjustedperformance. (Several academicstudies have shown that adding amanaged futures component to ahedge funds portfolio contributes tooverall diversification.)

According to research by

AssetSight, many hedge funds’returns are based on arbitrage-typestrategies with short volatility expo-sure. This weakness, saysAssetSight, is clearly demonstratedin the high correlations between theHedge Fund Research CompositeIndex and the CSFB Tremont Indexand traditional markets such as USequities.

Conversely, in periods of nega-tive three-month rolling returns forthe S&P 500 (between March 1999and December 2000) the CMIreturned an average 2.48%. In peri-ods of positive return over the sametime-frame the CMI returned anaverage 1.99%. A portfolio com-posed of 80% hedge funds and20% CMI reduced the downsideperformance to near zero andreturned 4.62% when the marketwas strong.

AssetSight intimated that theindex would fulfil all the criteria for afuture exchange-traded fund listing.

Separately, Chicago Board ofTrade has said that it will launch anexchange-traded managed futuresfund. It was tight-lipped on thedetails, however, claiming that certain“novel features” in the plan may besubject to patent protection.

Total protection

While the long-volatility CMI

index is not correlated with

either hedge funds or with

broad indices such as the S&P

500, it is correlated with

actively managed futures, with

a higher risk-adjusted

performance

Client Objective Value Contact Effective Adviser

CSS/PSS (Australian Unknown A$100m Chief investment Unknown Total Risk Managementsuperannuation fund) (of A$15bn fund) officer Andre Morony (Aus) for tender

programme, with Wilshire as alternative assets conusltant

Canadian Pension Plan Core/satellite approach $1.8bn (10% of fund) Unknown Over next five UnknownInvestment board, with Canadaian and foreign yearsToronto index fund core and private

equity satellites

Retail Superannuation Allocation to single hedge A$75m (US$38m) Michael Lillicrap, Completed UnknownTrust, Australia fund Holowesko Global REST general

Fund marks Australia's managerbiggest allocation to date. Further allocations dependent on results

Searches and mandates

Source: Compiled from MAR Hedge

10 SEPTEMBER 2001 RISK & REWARD

Andrew Malloy Planning to build hedge fund outfit from scratch TAG Associates

Andrew Ross Cazenove Group CE HSBC Asset Management

Anne Yobage Axa Investment Managers Member high-yield bond team Co-founder Cardinal Capital Management

Barry Steinhart HBV Capital Analyst Enron Capital & TradeManagement UK Ltd

Brant Nehr Parker Global Strategies Senior associate strategic initiatives Kenmar

Brian Kilgannon Trade propietary capital in Sells his share of Aus advisordiscretionary style Reef Capital to co-founder

Nick Radge

Caroline Hoysted GLC, London CE, resp day-to-day running of UK, GNI Fund Managementand opening of Aus, office

Chris Crawford RG Niederhoffer Capital Director operations Offshore administrator, Management Vanguard Group

Clare Dobie Global Asset Management Md marketing BGI, London, head of risk management

Clayton Cheek Ivy Asset Management Vp client development, Sage Capital ManagementCorp resp new institutional business

Daniel Harley HBV Capital New office formed to act asManagement UK Ltd subadvisdor

Egidio Robertiello Blackstone Alternative Md manager selection team Summit Fiduciary ServicesAsset Management

Elliot Arnold HBV Capital Trader Vp, ING BaringsManagement UK Ltd

Frank Savage Africa Millenium Fund Heads up firm, which is intended to Alliance Capital ManagementManagement develop into global financial Holding

services firm

Gary Knapp Hedge Fund Research Part of HFR’s effort to move from Ex-executive General Motorsconsulting to FOF management? Investment Management

Corporation

Gary Shugrue Ascendant Capital CIO COO, Double Agent Partners, Berwyn PA

Hannah Strasser Axa Investment Managers Member high-yield bond team Co-founder Cardinal Capital Management

Who Joins In order to… From

People moves

RISK & REWARD SEPTEMBER 2001 11

People moves

James Hague Millburn Corp Senior portfolio manager, resp Glenwood Capitalguiding hedge fund business strategy

James Marler Investor Select Advisors, Md European clients E-Trade, MdLondon office

Jean-Philippe ING Furman Selz Asset Md alternative investments West Broadway Partners,Carriol Management resp risk and convertible

arbitrage

Jim Kottler Royal Bank Private Equity Investment Manager Bank Austria Private Equity, (new opportunities)

Jin Park Carlye Asset Management World Bank alternative investments manager

John Carlisle ABN AMRO Prime Md, Dallas office Vp Deutsche Banc Alex BrownBrokerage

John Kelly Man Investment Products Director, US sales Internal move

John O'Hara ‘Will resurface after Md Goldman Sachs hedge gardening leave’ fund strategies group

John Rohal EGM Capital Vc board of directors Global research director Robertson Stephens

Jonathan Mosely Global Asset Md European clients Merrill Lynch InternationalManagement private client group

Kenzo Tanaka Man Investment Products Senior marketing exec HSBC Securities, Tokyo

Laurent Chevalier Millburn Corp Allocation and due diligence for FOF Head of research Weston Capital Management

Lilian Wong Bank of Bermuda, Md/country head of global fund Internal promotionHong Kong services

Marc Malek Self-started firm, Launch Conquest Global Macro/CTA, Enterprise Asset Management,Conquest Capital, using following split from former partner which closesEnterprise Asset Nigol Koulajian, who is also reportedManagement systems to be preparing new product

Margaret Towle Northern Trust Global Chief investment officer Puget Sound Asset Advisors, Stamford, Ct Management

Matthew Dubicq HBV Capital Analyst ABC ArbitrageManagement UK Ltd

Who Joins In order to… From

12 SEPTEMBER 2001 RISK & REWARD

People moves

Michael Fields Lighthouse Partners, Head up new New York office Tiedemann Investment GroupJupiter, Fl

Michio Jibiki AIMA Japan chapter Chairman Remains head of alternative investments at Asahi Life Asset Management

Peter Adamson Eli Broad family office First external cio Lee Bass family office

Peter Grunblatt Bank Leu, Zurich Head of alternative investments Bank Julius Baer

Ralph Sinsheimer Neuberger Berman SVP Trust Companies Wealth Officer at Offitbank, wealthManagement Group management unit of Wachovia

Ricardo Cortez Torrey Associates President private client services Product manager Goldman Sachs

Rich Ewan Man Investment Products Will report to John Kelly Internal move

Richard Campagna Shaker Investments Md research Manning & Napier Advisors, senior analyst, co-manager

Richard Johnson Lucerne Partners Md, responsible for developing ING Baringsinstitutional relationships

Robin Apps Beaumont Capital Partner, to be involved in Deputy CIO, UBS AssetManagement management of funds Management

Ross Jones GNI Fund Management CE Move from parent group

Stephen Brent Neuberger Berman COO, Trust Companies Wealth Officer at Offitbank, wealthWells Management Group management unit of Wachovia

Stephen Pearson Jupiter International Set up European long/short fund Director Sloane Robinson

Steve Bossi Deutsche Asset Director, FOF team AI International, family officeManagement

Tetsuya Tanaka Man Investment Products Senior marketing exec Morgan Garanty Trust, global custody

Thomas Spak Weston Capital COO Vp institutional client servicesManagement Morgan Stanley IM

Thomas Taylor Alpha Investment CEO: rumoured dressing up firm BBT PartnersManagement for possible sale

Tom Northcote Fall River Capital Vp marketing and sales Lindner Asset Management, St Louis

Who Joins In order to… From

People moves is compiled from MAR/Hedge weekly reports, July/August 2001

14 SEPTEMBER 2001 RISK & REWARD

Fund launches

Fund manager Fund name Style

Africa Millenium Fund Management Africa Millenium Fund Infrastructure fund

Altis Capital Management Global Futures Portfolio Diversified quantitative fund

Asset Alliance Emerging Manager Fund Seed fund with variety of strategies

AXA Global Structured Products New Horizons Absolute Return Fund FOF

Bank of Bermuda Kangaroo Fund Incubator

Bank of Bermuda All Points Alternative Opportunity Class FOF

Bank of Ireland Private Banking Hedge Certs Five-year principal-protected structured deposit linked to portfolio of Group's Asset Alliance HF mans

Barclays Global Investors Diversified Alpha Fund FOF

Broyhill Asset Management, Variable Universal Life Private Placement Allocated to Broyhill All Weather FOFNorth Carolina

Choice Investment Management, Denver Adams Select Fund Offshore Long/short

Commerzbank Securities Comas Plus FOF

Creedon Capital Management Alta Partners Discount Convertible Convertible ArbitrageArbitrage Fund

Deutsche Asset Management Deutsche Absolute Spectrum Global Equity 21 such managersLong/Short Fund

Ephesus Capital Partners GDO Equity Arbitrage Master Fund Long/short

GNI Fund Management Global Strategies Fund Multi-manager capital guaranteed fund

Harris Associates Pleiades Offshore fund FOF

Highland Capital Management, Australia Highland Growth Fund

ING Furman Salez Asset Management Windridge Partners International; Anvers Real estate and related securities; healthcare products and servicesHealthcare Investors Int

Invesclub, Milan Pleiades 1 FOF

Investor Select Advisors ISA Partners FOF

Jupiter International Group Europa (not confirmed) Long/short European equity

K@talyst Ventures, Cambridge UK K@talyst Hydrogen Fund Long/short equity with long bias

Kenmar International [Unconfirmed] Span managed futures and hedge funds

Key Asset Management Key Recovery Fund Multi-manager fund: Distressed and restructured debt, mainly US

Kyte Fund Management Kyte Mirador Fund Merger arb/event trades/corporate restructurings

Lansdown Partners Lansdown UK Equity Fund Long/short equity

Man Investment Products Man-IP 220 Plus Seies 4 Multi-strategy FOF

Martin James Capital Management Market Neutral Options Arbitrage Fund LP Option arbitrage

New Star Asset Management New Star European Hedge Fund Long/short European equity

Okumus Capital, NY Okumus Market Neutral fund Market neutral

Polar Capital Partners Polar Capital Technology Absolute Return Fund Long/short global technology

Prescient Capital Prescient Investment Partners LP Growth and technology

Ram Sen, Singapore LowRiskProfits Capital Management Trend-following, multi-market system

Rampart Investment Management Rampart Statistical Arbitrage/Rampart Statistical arbitrage/long-shortLong/Short

Strome Investment Management Strome Arbitrage Partners Risk arbitrage

Systeia Capital Management [Unconfirmed] Range of funds, including event-driven, equity statistical arbitrage, convertible arbitrage, catastrophe bonds and weather derivatives

T Young & Co [Blended fund of two trading managers]

Talisman Capital Talon fund Relative value/capital structure arbitrage

Talorcan (Abbey National subsidiary) Talorcan Equity Pairs Plus

Talorcan (Abbey National subsidiary) Talorcan Forex Fund

Talorcan (Abbey National subsidiary) Talorcan Global Fund

Watch Hill Investment Partners Watch Hill Strategic International Fund Market neutral mortgage-backed

RISK & REWARD SEPTEMBER 2001 15

Fund launches

Launch date Fee structure Minimum Other details

To be announced

Raising capital now 2/20 plus expenses $100,000

By year end Flat 1% $10 million Aimed at institutions wanting to ensure capacity

1% Target 20-40 funds; single fund max 7.5%; single strategy max 15%

For Aus managers seeking to raise assets offshore

Fund managers with under 12-months track record

17 July $56,000 Target returns 10-12% pa

September 1/10 (beyond libor) Three broad strategies

Manager is part of Broyhill family office

Before end September 1/20 $250,000 Offshore version of Adams Select

1.5/10 (high watermark) €25,000 Combination absolute return and net directional strateiges. Monthly liquidity

1 July 2/20 Seeks undervalued convertible positions

1.1/15 US$2,550 To meet retail demand

September 2/20 $1 million

17 September 2% man/5% incentive/ $50,000 Multi-strategy. Aimed at retail1% risk man/0.3% admin/2% offering

2 July 1/20 Invests in relative value arb managers

A$500,000 30% of investments allocated to external funds/trading advisors

1/20 $250,000 Follow onshore versions of same fund

9 July 1.5/15 €100,000

1 August 1/5 $500,000 Long/short, convertible arb, short-biased and event-driven managers

October 1.5/20 $100,000

1 August 1.5/20 Specialist companies dealing with production and consumption of energy

To be announced

2 July 1.5/5 $500,000

1 October 1/20 $1 million

1 August 1.5/20 (high water mark) $250,000

Under offer period 3/20 $50,000 Capital guaranteed

Mid-June 2/20 $1 million

September $150,000

1 August 1/20 $500,000 Short index positions to maintain market neutrality

9 July 1.25/20 (with high watermark) $100,000 Managed by ex-Henderson staffer Brian Ashford-Russell

1/20 $500,000

Trading liquid currency, interest rate, commodity and equity markets

August-September 1/20 $500,000 Focus on recapitalisation events and merger subjects

Staggered launches up to Seed capital from Crédit Lyonnaisnew year 2002

$50,000 Meyer Capital Management/Beuthe Crabel Trading

1 July 1.5/20 45% European/45% US/balance in Asian securities

27 June 1.5/20 €125,000

18 July 1.5/20 €250,000

1 August 1.5/20 €250,000

1July 1/20 $1 million Higher leverage than onshore version

Country profile: Australia

16 SEPTEMBER 2001 RISK & REWARD

If the key participants are right, Australia is on theverge of a significant breakthrough in both its whole-sale and retail alternative investment market. Butthere are substantial hurdles that include Australia’s

regulatory environment, track record and market depth.In other words, the big players are yet to make theirappearance.

Angus Grinham, director at Grinham ManagedFunds, Australia’s largest alternative hedge fund man-ager with A$700 million in funds under management,says that over the past year the Australian alternativeinvestment market has moved “from the educationalstage to the early growth stage. We are starting to seereal momentum.”

Deon Joubert, managing director at AbsoluteCapital, which claims to be Australia’s largest allocatorof capital to the domestic hedge fund sector with A$200million under management, is convinced the next yearwill be significant. He says, “The A$2.5bn market can

increase tenfold without blinking. The massive attentionon Australian alternative investments will soon bematched by dollars changing hands. Suddenly, a lot offund managers are hiring staff and setting up depart-ments. The superannuation (pension) funds are sendingasset consultants to look at hedge funds as the trusteesprepare to make decisions.”

Other Australian managers are similarly convincedthe enquiries will soon start translating into real dealsand large mandates, mirroring the worldwide trend.Managing director of Merrill Lynch InvestmentManagers’ alternative strategies section, FabioSavoldelli, says local trustees have crossed the ‘what isthis?’ bridge. Many have crossed the ‘do these assetsbelong in my fund?’ bridge, and some are even askingthose vital final questions, ‘how much?’ and ‘to whom?’

A wave of superannuation funds have indicated theyare looking to invest in hedge funds as part of their alter-native investments strategy. The first major commitment

Aussie rules

Australia could very well be the next place to witness the massive uptake inalternative investments that has occurred in the US and parts of Europe,

says Simon Segal

Country profile: Australia

RISK & REWARD SEPTEMBER 2001 17

has been made by CSS/PSS (the scheme for public ser-vants), Australia’s second-largest superannuation fund.It is expected to allocate A$100 million to hedge funds,making it the largest institutional hedge fund investor inAustralia. Beyond hedge funds themselves, the fundhas committed to invest 10 per cent of its entire portfo-lio in alternative assets.

In July this year, in an effort to boost returns, theRetail Employees Superannuation Trust allocated A$75million to the US-based Holowesko Fund.

These market moves have been matched on theinfrastructure side with the launch earlier this year of alocal chapter of the UK-based Alternative InvestmentManagement Association. The body, which has 23founding members, including most of Australia’s hedgefunds and three of its major broking houses (MerrillLynch, Morgan Stanley Dean Witter and GoldmanSachs) intends to fulfil an educational brief. Equallyimportant perhaps it is the first effort to bind the smallhedge fund community in Australia.

Local AIMA deputy chairman Kim Ivey saysAustralian managers make up the industry’s small sizewith a sophisticated approach. “Hedge fund managersare very conscious of risk management,” he says. Ivey,too, forecasts a doubling of assets under managementin the near term, with most money coming from the insti-tutional market. “Pension fund trustees have been on asteep learning curve,” he says.

Ivey notes that Australian pension funds, now worthA$600 billion, are growing at 10 to 12 per cent a year.He also expects money to start flowing into Australianhedge funds from abroad. “The Australian stock market,Asia’s second largest after Japan, offers ample liquidity,and investors will appreciate the steady 3-4 per centannual growth that the Australian economy has postedover the past five years,” he says.

However, hedge fund managers are as likely to gainfrom weak financial markets as from general economicgrowth. Here as elsewhere, the most conservative oftrustees are having to listen to predictions of a new eraof lower overall returns. In such a scenario, even the

most conservative of trustees will be pressured to con-sider alternative assets. “Expectations around returnshave been raised by the phenomenal performances offinancial markets. As markets now face a down period,the pressure mounts on fund managers to seek newtools such as alternative investments in their armoury,”says Grinham.

Debbie Alliston, Rothschild director and head ofportfolio management, believes that in 10 years’ time theaverage portfolio could have perhaps 20 to 30 per centin alternative investments, with the intent both ofincreasing overall returns and diversifying portfoliosaway from market risk.

Alliance Capital senior manager of institutional mar-keting Brad Karp finds that the decision for investors totake the first step into hedge funds is being made eas-ier as more and more managers introduce credibleproducts into the Australian market. “Our experience isthat investors will probably make an initial allocation to awell-diversified fund of global hedge funds,” he says.

There are, however, factors tempering the optimism.Lack of liquidity and skilled managers in Australia hin-ders growth. The limited capacity of products – there areonly six funds of funds at the moment – controls theamount of money that flows into the sector. All agree thatthe interest in hedge funds has not yet been matched byinflows.

Rothschild associate director of alternative invest-ments Richard Keary believes the strength of productdevelopment teams and the global ability to researchinternational hedge fund managers will become increas-ingly important. “It will be hard for an Australian FOFmanager with a couple of people in the product devel-opment team to actively compete when the standardsare lifted,” he says.

However, Rowan Menzies, head of investmentresearch at Absolute Capital, is convinced that theAustralian alternative investment industry is globallycompetitive. “It is as sophisticated in terms of peopleskills and systems. It is lacking in capital inflows,” hesays. Frank Russell Australia managing director

“The superannuation (pension)funds are sending asset

consultants to look at hedgefunds as the trustees prepare

to make decisions” — DeonJoubert, md Absolute Capital

Country profile: Australia

RISK & REWARD SEPTEMBER 2001 19

A potted history The bulk of Australia’s alternative investments are in private equity. Hedge funds estimated by Absolute Capital mdDeon Joubert to be worth A$2.5 billion, invested among some 50 hedge fund managers.Funds of funds are the most popular vehicles.

Deutsche Asset Management and Rothschild Australia Asset Management were the first mainstream names tointroduce fund-of-fund hedge fund products into Australia. According to Deutsche, Australia’s first locally-devel-oped and registered multi-manager hedge fund was its Strategic Value Fund launched in December 1999. It nowhas over A$100 million in assets under management from both retail and institutional investors.

In November 2000, Macquarie Bank launched its first hedge fund, trading equities, interest rates, commodities andcurrencies. Based in Bermuda, the fund will have $100 million, including $60 million invested by the bank.

In the mid-1990s, Grinham and Platinum Capital became the first hedge funds in Australia to operate outside of amajor banking group.

In the past few months financial institutions that include global players Frank Russell, Schroders, Colonial First State,and Credit Suisse have announced plans to set-up multi-manager global hedge funds for Australian investors.

Grinham Managed Funds claims to be Australia’s largest hedge fund manager with A$700 million in funds undermanagement, while Absolute Capital lays claim to be Australia’s largest hedge fund and fund-of-funds managerwith A$200 million under management onshore and in domestic products. Deutsche contends it is Australia’slargest hedge fund manager in terms of its A$800 million in assets under management. Of this it says around halfis invested in domestic products. Absolute, which allocates 60% of its assets to locally based managers, has struc-tured its Absolute Return Fund into five sub-funds, allocating 36% to global strategies, 29% to yield strategies, 13%of assets to equity long/short equities, 12% to arbitrage strategies and 10% to relative value.

Absolute operates on three levels. It allocates to funds of funds in Europe and the United States, it allocates tohedge funds directly in Australia and abroad, and it manages assets itself.

This year has seen a string of developments:

• Credit Suisse Asset Management (CSAM) plans to launch two multi-manager international hedge funds intoAustralia this year. The fund of funds are managed out of CSAM’s New York office

• Rothschilds, in addition to its domestic hedge fund product for the wholesale market, launched a global hedgefund of funds in partnership with the Grosvenor Group of Chicago.

• Frank Russell launched its Alternative Strategies Fund, a multi-manager global hedge fund that provides super-annuation funds with an investment list of 15 leading hedge fund managers, mostly in the US

• New York-based AXA Global Structured Products (AXA GSP) launched a global fund of hedge funds into theAustralian wholesale market. The fund is marketed and distributed in Australia by Alliance Capital

• Schroder Investment Management has said it is considering launching a series of international hedge funds intothe Australian market to capitalise on growing demand from super funds for alternative investments

• Deutsche launched its second Australian multi-manager fund, the Absolute Spectrum Global Equity Long/ShortFund. The firm is marketing the fund to retail and institutional investors as an innovative way of investing in inter-national equities with a lower volatility than traditional equities

• Colonial First State Australia forged a sub-advisory agreement with Harcourt Investment Consulting AG to man-age the six different funds of funds Colonial plans to launch. For Harcourt, based in Zurich, Switzerland, this isan opportunity to break into the Australian hedge fund market without establishing an office on the continent

• Lazard formed a new arm in the US to expand its alternative investment business and created a new hedge fund-of-funds product. Lazard already offers a its Global Opportunities Hedge Fund – a long/short equity fund – toAustralian institutions

• Hedge Funds of Australia, which has one fund in the market, expects to bring a second product to market thisyear and a third next year. HFA claims to be the only hedge fund in Australia available to individuals.

Country profile: Australia

20 SEPTEMBER 2001 RISK & REWARD

Alan Schoenheimer adds that, “the uptake of new ideasis a lot quicker than in most other markets,” though FrankRussell will not offer an equivalent multi-manager stylefor hedge funds domiciled in Australia. “The alternativeasset classes are a global game and our strategy is tobring clients access to the best hedge fund managersregardless of where they are located,” he says.

Retail movesIn the end, hedge funds will only become truly main-stream if they are taken up by retail clients. GlennPoswell, vice president at Deutsche AssetManagement’s Strategic Investment Group, believes thisdevelopment will occur through wraps and masterfunds, though other observers, such as Rothschild’sKeary, emphasise retail investors’ frustration at the lackof funds available.

Keary emphasises that it is still early days for hedgefunds in Australia. “The other problem,” says Keary, “isthat investors are being confronted with an unfamiliarnumber of brand names as hedge funds might be soldunder their overseas manager’s name more prominentlyin the future.” And while he is on the subject of thwartedambition, he cites the lack of ratings and surveys for thesector as a handicap, though he believes they willbecome more common as products build a track record.

A report released in January by local ratings houseInTech highlights issues of liquidity, risk and diversifica-tion that need to be carefully considered by trusteesbefore changing a fund’s portfolio to incorporate what itdeems a ‘generally high risk/high return asset class’.The mere existence of the report stands testament tothe flush of interest in hedge funds, but the report’soverall tone is cautionary. In contrast to optimistic mar-ket participants, author Dennis Sams finds, “Trusteesare questioning whether they should be gettinginvolved.” He goes on to advise trustees not to bespurred on simply by the pressure to secure ever-higherreturns. “There is a natural tendency to seek out highgrowth investments that may give a boost to perform-ance. The trade-off, naturally, is higher risk,” he says,

adding that the local industry still lacks a lot of history inareas like the volatility of alternative asset classes andtheir correlation.

According to local AIMA chairman and ColonialAbsolute Return Fund head Damien Hatfield, “Australianinvestors want to look closely at the managers within afund-of-funds product that they invest in. Relative lengthof track record, leverage and overall process are keyfactors.”

Savoldelli argues that hedge funds are probablyhandled better by the big investment houses, andbelieves that asset consultants are still coming to termswith how to handle, advise and monitor hedge funds.

Though the Australian market may have its ownfoibles and drawbacks, it is at least some way fromexperiencing the capacity constraints of the interna-tional industry. According to Hatfield, the structure of theoverall industry – 50 per cent of which is invested inlong/short directional equity strategies – means capac-ity problems are a long way off.

Another major hurdle — being lobbied against byAIMA — are restrictive tax regulations that penalise off-shore investors in Australian hedge funds. Many of theunderlying managers in the Australian hedge fund prod-ucts are domiciled offshore, which introduces ForeignInvestment Fund (FIF) tax implications that see investorstaxed each year on an accruals basis. “Government canmake it easier for hedge funds to develop their businesswith offshore investors. We’ve all had to set up offshorevehicles,” says Ivey.

On the regulatory front Keary is optimistic. “It is sen-sible and benign, certainly not an impediment.” Liquidityand institutional interest are clearly bigger obstacles.The early participants are ready and expecting things tohappen at a rapid pace from now on.

Simon Segal is a freelance financial journalist livingand working in New South Wales

“It will be hard for anAustralian FOF manager with acouple of people in the productdevelopment team to activelycompete when the standardsare lifted” – Richard Keary

Kim Ivey

Technology focus

RISK & REWARD SEPTEMBER 2001 21

One might assume that with global equity mar-kets in what can (at best) be described as anuncertain state, equity option technologywould be in a similar condition. But appar-

ently not. Perhaps vendors dissemble well, but to judgeby the range of new products being launched, it wouldappear that activity has done anything but collapse.Demand from the hedge fund community appears to beplaying something of a role in this unexpectedresilience, with several independent factors at work.

At the simplest level, a number of equity funds withmandates that allow the use of options have started totake advantage of the fact. As it becomes harder to gen-erate alpha on their long positions, these funds are usinga number of strategies (everything from simple coveredcall writing to relative value plays) in an attempt garnerexcess return. Though these strategies may not neces-sarily occupy the cutting edge of financial engineering,they are at least keeping the market for shrink-wrappedproduct ticking along.

At the other end of the spectrum, there has beenincreasing demand for products that can handle thecomplex equity derivative products created by combin-ing simpler structures. With markets in less than ebullientmood, managers are increasingly looking for tools capa-ble of highlighting arbitrage opportunities where suchcombined products are mispriced. In addition, therehave been several funds trying to get a new angle onpreviously profitable strategies, such as dispersiontrades, that have recently run out of steam. The other bigwinners have been convertibles, where demand from amixture of convertible arbitrage funds and more conven-tional players has also been buoyant. In addition, a moregeneral theme has been the move by several vendors tooffer their analytics online in an ASP format.

Some might question many hedge fund managers’devotion to the discipline per se, but demand for riskmanagement-related functionality also remains strong.This may not necessarily take the form of more esotericrisk analytics, but some basic reporting, or at least thefacility to export position information or a VaR number, isbecoming de rigeur.

Then there is the continued demand, particularly fromthe more specialised hedge funds, for increased model-ling flexibility. At the sharpest end of OTC equity deriva-tives the concept of a market standard model doesn’treally exist. Managers who see their financial engineeringskills as their competitive edge are no longer prepared tojust accept out-of-the box models. Instead, they want theability to tweak the existing model mathematics or eveninsert complete models of their own.

Though quite a few vendors have offered this facilityfor a while, it has to be said than in at least some casesthe functionality has been cumbersome, and in othersseverely overstated. The main difficulty is trying to strikea balance between adequate flexibility and performanceon the one hand and ease of use on the other. While it isperfectly possible to use fourth generation languagessuch as Python for such tasks, there is usually a sub-stantial run time performance penalty when comparedwith languages such as C or C++.

“In the past, this sort of functionality has been verymuch a case of ‘square peg, round hole’,” says the headof trading floor technology at one US hedge fund. “Whileit might have been theoretically possible, it often provedsomething of a challenge in practice. Another issue hasbeen the aggravation of having to take down a produc-tion system and restart it every time even a minor tweakhas been made to a model’s maths.”

One vendor that has been making something of aflexibility push is SciComp. The company’s ASPEN(Algorithm SPEcification Notation) scripting languageallows non-programmers to create or tweak complexmodels and then automatically generates the appropri-ate C code. (Those who prefer can edit their own C codedirectly.) SciComp provides two core products – SciPDE

Equity markets may be experiencinguncertainty, but that only fuels theanalytics development process,discovers Andy Webb

Stock tactics

Technology focus

22 SEPTEMBER 2001 RISK & REWARD

(which uses finite difference methods to price partial dif-ferential equations), and SciMC (a Monte Carlo engine)both of which can be customised using ASPEN.(SciComp’s source code is included in the license fee.)Quick evaluation of any modelling can be performed inExcel by using SciXL, which automatically generatesExcel add-ins based on the code. SciComp, which hastraditionally targeted the broker-dealer market, is nowstarting to turn its sights on the hedge fund communitywith annual license fees starting at $25K.

Some, while acknowledging the importance of modelflexibility, have seen increasing emphasis being laid byhedge funds on the ability to value a combination ofexisting instruments as a single structure. “While hedgefunds obviously want to be able to tweak the models,we’ve seen more demand of late for flexibility when itcomes to combining valuation routines, such as in a multiasset Monte Carlo model,” says Mamdouh Barakat, man-aging director of derivatives vendor MBRM. “They needto be able to do scenario modelling for shifts in variouscurves and the underlying assets on hybrid instruments,such as quanto Asian basket options, or Asian forwardstarting baskets. They are pushing to extremes withthese more esoteric structures in order to try and dis-

cover where the market may not be accurately pricedand there are arbitrage opportunities.”

In common with a number of other vendors, MBRMhas also seen increasing demand from hedge funds forASP versions of its equity option analytics. Those man-agers who don’t relish the prospect of in-house applica-tion maintenance can now run the MBRM pricing mod-els online, and (if they wish to avoid re-keying data) canstore their portfolios there as well.

Sophis, Imagine Software, FinancialCad, andSavvysoft are also among the increasing number of ana-lytics vendors that have launched ASP versions of theirproducts. Imagine has taken the derivatives functional-ity of its Imagine Trading System and made it availableonline at Derivatives.com. The service includes real-timedata for a range of markets, and is accessed via light-weight Java client. FinancialCad’s FinCad.net service ispowered by the same library of 550 modelling functionsprovided in its original offline products. Users can opt toaccess Fincad.net in several ways – directly through aconventional web browser or via the company’s FincadXL or Fincad Developer applications. Secure data stor-age and tools for developing custom pricing routinesare also provided. Savvysoft has recently launched

Technology focus

24 SEPTEMBER 2001 RISK & REWARD

Analytics4Rent.com, which is the first product to allowusers to run derivatives analytics on the Internet fromwithin an Excel spreadsheet. The pricing routines that liebehind Analytics4Rent.com are Savvysoft’s establishedTOPS 2000 models.

Savvysoft’s founder, Rich Tanenbaum, has a slightlydifferent slant on the importance of flexibility to hedgefunds. “I think the concept of tweaking models in order toexploit mispricing is something more common in the bro-ker dealer community,” he says. “In our experience,hedge funds are happy enough to buy in pricing expert-ise. They see their competitive advantage lies more inhow they use those analytics to best effect – such as tak-ing a position and then devising the best way of hedgingit to obtain an acceptable risk/return ratio. However, theyare keen on technological flexibility – so we find that beingable to provide equity option pricing routines via a num-ber of routes (such as Excel, DLLs, ASP etc) is essential.”

Tanenbaum has also noted some particular require-ments among the hedge fund community when it comesto risk management. “The majority of funds that we talk to aren’t particularly interested in risk management as an abstract science,” he says. “However, they increas-

ingly need to beable to satisfy therequirements ofbanks/dealers whomight provide themwith funding andpotential investors.The funds obvi-ously don’t want to provide actual position information, sothey are looking for something to provide a proxy for this,such as delta equivalents and some VaR numbers.”

That’s also the view of Ravi Jain, ceo of EgarTechnology. “Investors are becoming far more demandingand actually want to see the risk management and report-ing systems in place before they part with any capital,” hesays. “They are no longer prepared to take this on trust oron the basis of the manager’s reputation, nor are theyprepared to accept the basic risk analysis traditionallyprovided by hedge fund administrators. Even if an equityoption trading system doesn’t provide that functionalityitself, it must as a minimum be capable of making infor-mation to support that process easily available.”

Egar itself provides risk reporting through its estab-lished Focus product, which in addition to providingextensive derivatives coverage (including listed andOTC equity products) also includes a middle and backoffice infrastructure suitable for a smaller regional bankor hedge fund. EGAR has also recently launched twoproducts more specifically targeted at equity options.ETS (Equity Trading System) is an open rapid develop-ment platform that allows Egar to create client-specificsolutions. That said, ETS is nevertheless fully functionalstraight out of the box, and in that guise should cover thebulk of the requirements of most equity option traders,including quotes views, risk views, risk matrices, marketstructure, real-time feeds, trade entry and position man-agement blotters, and reporting.

Egar’s most recent product release is EGARDispersion, which is designed to cater for a type ofequity option trade that has become hugely popularover the past two years, but has somewhat run aground

”We’ve seen more demand forflexibility in combiningvaluation routines, such as ina multi-asset Monte Carlomodel” – Mamdouh Barakat

Mamdouh Barakat

Rich Tanenbaum

Technology focus

RISK & REWARD SEPTEMBER 2001 25

in the last six months. Dispersion trades typically consistof short selling options on a stock index while simulta-neously buying options on a basket of constituentstocks. The objective is that the individual underlyingstocks will move in different directions, which will havethe effect of reducing overall movement in the relatedindex. The net result is a relative volatility trade, which ifsuccessful, profits from the volatility discrepancybetween the basket of stocks and the parent index.

“For a some time this was a beautiful trade, particu-larly in tech indices such as the Nasdaq and MorganStanley Tech Index, but with a one-way market the basicstrategy has collapsed,” says Jain. “However, a numberof hedge funds are now looking for tools that will helpthem to put together more sophisticated dispersionstrategies. These tools need to be able to perform indepth analysis of the volatility relationship betweenstocks and the parent index, such as the volatility con-tribution of individual stocks.”

The snag is that this requires access to a substantialamount of high quality historical implied volatility data,which apart from the proprietary service offered by per-haps one investment bank to selected clients, is not read-ily available. However, Egar has addressed this challengethrough its Ivolatility.com service, which provides much ofthis necessary data, together with simple analytics, forfree. (A more sophisticated set of online modelling toolsand data is also available on a subscription basis.)

The convertible market has been particularly busy.Apart from the traditional convertible arbitrage players,bond traders looking for an equity kicker and equitytraders seeking the reassurance of a bond floor havealso boosted activity. This boom in convertible activity

(and that more generally in equity option products) cer-tainly doesn’t appear to be doing vendor MONIS anyharm. “The convertible arbitrage hedge fund sector hadan excellent 2000 and has also been strong so far thisyear,” says Paul Compton, VP for global education atMONIS. “We’ve also seen increasing interest from a var-ious other types of hedge fund.”

MONIS’ convertible analytics are available in threeways – Convertibles Analyzer, Convertibles XL, andConvertibles LIB. Convertibles Analyzer is a completetrading and portfolio management solution,Convertibles XL is the Excel based version, whileConvertibles LIB is a callable convertible functionslibrary. In addition, several other derivative vendorshave also established formal partnerships with Monisthat make it possible to use its convertible models fromwithin their own products. For example, Front CapitalSystems and Monis announced an agreement early thisyear to provide Front clients with access to Monis mod-els within Front Arena. Like Egar, Monis has also spottedthe need for clean data and provides a data service forboth convertible prices as well as terms and conditions.

Looking ahead, it seems likely that the trend towardsgreater flexibility will continue and possibly accelerate.That is certainly the view of Xenomorph, which hasrecently launched its PerfectVine trading and risk man-agement solution for hedge funds. As standard,PerfectVine can access equity option and convertiblemodels from MBRM and Monis, and it can also beconnected to proprietary models as well as those fromvendors Derivative Solutions, FinancialCad, and FEA.

“We’ve also designed PerfectVine so that usersaren’t obliged to use our presentation layer,” says NiallMcIntyre, head of marketing at Xenomorph. “That’s alsobeen driven by the feedback we’ve been getting fromhedge fund clients, who increasingly wish to be able touse their own GUIs as well as picking and customisingthe analytics that underlie them.”

Andy Webb is a freelance financial and technologyjournalist

“A number of hedge funds arenow looking for tools that will

help them to put togethermore sophisticated dispersion

strategies” – Ravi Jain

Ravi Jain

Profile

26 SEPTEMBER 2001 RISK & REWARD

Nothing ails (y)a

Kim Hunter finds out why Neil Smeaton and Piers Watson believe they havedeveloped a winning formula with Edinburgh-based start-up Ailsa Capital

Somehow, my bungling attempts to get toEdinburgh (one flight missed; another delayed)to interview new fund manager Neil Smeatonwere successful in the end. And as I sat oppo-

site him in his Georgian offices it became clear that hadI failed, only myself and British Telecom would have heldup the unfolding of the Ailsa Capital master plan.

But I would have had to work hard at incompetenceto match BT, who, according to Neil, is “a bigger imped-iment to the set-up process than gaining regulatory

approval”. In fact, IMRO were fabulous, he says: theIMRO licence can be obtained in four months; it took halfthat for BT to install a high-speed modem line. Telecomsincompetence notwithstanding, with the IMRO licencejust granted, and roughly $15m seed capital locked infor two years, the Ailsa US Equity fund is bang on targetfor its 1 October launch.

Neil has been surprised that housekeeping detailshave attained such prominence in the set-up process.“The biggest discussions we have had have been about

Profile

RISK & REWARD SEPTEMBER 2001 27

where people sit and how to arrange the furniture, andthe colour of the logo,” he says, surveying a back roomdestined to become either office or library, and a desk-locked fireplace he knows would make a lovely informalseating area.

This is the best part of interviewing new managers –witnessing the pride and excitement with which thedawning of independence is greeted. In this case thereis confidence too. Like the explorer Shackleton, whosefamous leadership qualities included the optimism toincrease rations in times of scarcity, Neil and his busi-ness partners Piers Watson and John Thomson havetaken out a five-year lease on their office. “A lot of newfund managers don’t have the confidence to do that,” hesays.

Ailsa’s principals have a right to be confident: theyprovide a strong combination of talents and skills, andhave the distinction of becoming only the second USequities specialist to launch a long-short US equitieshedge fund from the UK. Neil was previously head of USequities at Edinburgh Fund Managers (EFM) and AegonAsset Management, where he earned the distinction ofbecoming one of only three US equity sector fundsgranted a triple A rating from S&P.

Piers, Neil’s long-standing friend, who has attendedhis wedding and the christening of both his children, isof a more techy bent. (He actually reads the financialengineering and technical analysis tomes that most ofus leave piled up on our desks.) He, despite being only29, was latterly head of derivatives at EFM, where aswell as running hedges, he was involved in structuringEFM’s Safety First fund and a series of defined payout

products and was responsible for running a convertiblebond fund. “This is where my risk management skillscome from,” he says. “I think it is this aspect of the fundthat is most likely to appeal to investors.”

What has cemented their friendship is their fascina-tion with the financial markets. Four years ago, while thepair pored over market developments, and the barmanpoured pints, they hatched the idea of launching ahedge fund. “What is important is the ability to controlyour own destiny. The institutional world stifles creativity;I wanted the freedom to buy and sell whatever I want,”says Neil. Piers echoes his sentiments: “As you getmore experienced you spend more time in committeeand management and move away from the markets.This is the ultimate way to get back.”

Piers, who has worked with Neil in US equities andhas also been involved with UK stocks, is also proudthat he comes to the derivatives and risk managementprocess with the eye of a fund manager. As well as riskmanagement, he runs a timing program for the fund,which he also runs with a stock picker’s eye.

The final member of the triumvirate is John Thomson,ex ceo of Stewart Ivory and before that cio of StandardLife, who brings great credentials and a business leveloverview to the team. He will be running the business,leaving Neil and Piers to get on with running the fund.

The pair intend to produce 1-3% a month with, pre-dictably enough, “superior risk-adjusted returns”. Theyhave been running a paper portfolio, which has been a‘useful experience’, and has apparently produced somegood numbers.

The long-short fund will express a directional bias,though not always, within a core universe of 120 USstocks, and will apply three elements to the stock selec-tion process. Themes developed in that core portfolioare also extended in tactical positions beyond the main120 stocks. A quantitative element provides a frame-work for ranking stocks on longer-term valuation andshorter-term momentum factors. The fundamental analy-sis focuses very much on forward-looking indicators,with very little historical detail taken into account.

“BT is a bigger impediment tothe set-up process than

gaining regulatory approval” – Neil Smeaton

Neil Smeaton

Neil says he doesn’t miss working with a largeresearch team. His aim is to have a high level of knowl-edge of the stocks in his universe, and most of what heand Piers do is based on years of experience in deter-mining what make the best investment criteria. “We arealways looking for the catalyst that will expose deterio-rating fundamentals,” says Neil.

The third element is the timing model, which is onlyused as an execution aid once a stock has beendeemed attractive or otherwise.

Neil and Piers make short work of the accusation thatmainstream-turned-hedge-fund managers shouldn’t beallowed top proactive shorting stocks with investors’money. “There’d be no hedge fund managers,” saysNeil. “Half the equity long/short managers in Europecome from long-only backgrounds. When people sit andlisten, they will understand what makes us likely to besuccessful.”

What may cause some confusion in the investmentcommunity is the idea of a US equity specialist so farfrom the domestic market. “People will ask how you can

run a pure US fund from the UK. But people will eitherhave that bias or they won’t. Those with an open mindwill be interested in our process,” says Neil. At Aegonhis fund was generally known for out-performing in allmarket conditions.

With the set-up process still fresh in their minds it isworth asking for a little bit of advice for others followingin their wake. Ailsa has gone the quality route, spendinga little more (at $500,000 in the first year including run-ning costs) than the average start up. Neil and Piershave chosen Goldman Sachs as a prime broker (andwere very impressed with Morgan Stanley) and have allthe systems functionality they had in their institutionaldays. As administrators they chose IFS in Dublin.Crucially, says Neil, waving a fat bundle of legal agree-ments under my nose, you have to know what you wantto get out of these relationships; you get let down a lot.Timetables get shuttled back, but [London-based legalfirm] Simmons & Simmons have really looked after us.”

Honing that further, he says, “The big secret [anddetails have not been released] is seed capital. Qualitymoney – people who will support the business – isabsolutely crucial.”

Piers adds that though it is easy to get bogged downin detail, you also have to remember that everything youdo during the set-up process has to stand up furtherdown the line. “Don’t,” for example, “have a logo you’renot happy with.”

But through these details the grand plan remainsintact. And it is a very simple one. “I am most looking for-ward to sitting in a room with a colleague I know and likeand trust, and doing what I love to do,” says one. “That’swhy we’re doing it,” says the other. Aw.

Profile

28 SEPTEMBER 2001 RISK & REWARD

“The risk management aspectof the fund that is most likelyto appeal to investors” –Piers Watson

John Thomson

Piers Watson

Personal & professional development

RISK & REWARD SEPTEMBER 2001 29

StresstestingAs well as being executive director ofAIMA Florence Lombard is also aneuro-linguistic programming masterpractitioner. Here she teams up withlife coach Sue Liburd to explain how todetermine your stress levels and whatto do about it

Personal & professional development

30 SEPTEMBER 2001 RISK & REWARD

Stress is one of those words that raises bothinterest and anxiety. More often than not mostof us prefer to ignore stress; its sources andconsequences. I was amused to see, however,

that in the June issue of Risk & Reward, business-related stress was mentioned twice. “Listen to hisstresses as he tries to beat the market, keep his wifehappy, keep his investors happy and keep to his dietaryregime,” (page 8) about sums it up.

Allegedly, there is good stress and bad stress. Buthow do you differentiate between the two? And let’s berealistic: just like risk and volatility, stress needs to bemonitored and managed.

Carry out a stress-related search on the Internet andthe information available would fill an encyclopaedia.Let us ponder a few recent statistics and findings:• “Stress in the workplace is undermining performance

and productivity in 9 out of 10 companies” – IndustrialSociety

• “Up to 60% of all absences from work are caused bystress” – The Health & Safety Executive (HSE)

• “Work-related stress affects around 5 million people,costing the UK economy some 6.7 million workingdays lost annually” – HSE

• “77% of UK managers say they work more than theircontracted hours every week, with 72% saying thisadversely affects their relationships and 59% saying itaffects their health” – UMIST/Institute of Management‘Quality of Working Life Survey’,1998.

It is a source of wonder to me why, in our field ofalternative investment management, so much emphasisis put on risk assessment, risk monitoring, stress testingin portfolios, while one of the most important factors thataffects our professional and private lives – and often ourhealth – is ignored. It is as if ignoring it, others, such asinvestors carrying out due diligence on an organisationand its people, will not pick up on it. But they will andthey do.

Employers have a legal responsibility to carry outadequate health and safety risk assessments.Employees have a duty to inform their employer if they

feel under stress. There have been several high profilecases where substantial compensation has beenawarded to employees for stress-related cases and, ifrecent cases reported in the press are anything to go by,this trend is definitely on the increase.

Anglo Saxons reading this article are likely to oper-ate in an environment and/or culture that originated inone way or another in the United States.

Are these ‘American’ working practices good for us?It would appear not. An interesting article was publishedby professor Cary L. Cooper in Stress News, April 2001,Vol.12, “The Psychological Implications of theAmericanisation of work in the UK”. “The Americanisedscenario of ‘leaner’ organisations, intrinsic job insecurityand longer working hours culture is beginning to havean adverse affect on employee attitude and behaviour…

“Changes towards downsizing, outsourcing, delay-ering… led to substantially increased job insecurity, low-ered morale and the erosion of motivation and mostimportant of all, loyalty. Although these changes wereperceived to have led to an increase in profitability andproductivity, decision making was slower and the organ-isation was deemed to have lost the right mix of humanresource skill and experience in the process.”

Our European colleagues do not fall for this‘Americanisation’ of work practices. Try and speak tosomeone in Italy or Spain during the summer! Most ofthem have gone away for at least three weeks holidays.Try and catch them at lunchtime on a normal workingday. In most rural parts of Europe, shops and busi-nesses close down for two hours at lunchtime.

Anglo-Saxons may find this frustrating, but is thisbreak in the working day, this re-sourcing and re-ener-gising time, really such a bad thing? I would suggestnot. Again, the statistics speak for themselves. Thereare less stress-related diseases in those countries; farless instances of heart attacks, strokes and the like.Productivity in some of those countries is not at the levelof the UK or the USA, but still life goes on, things getdone, countries and businesses are successful andsomehow the quality of life often appears better.

It is as if by ignoring stress,investors carrying out duediligence on an organisationand its people will not pick upon it. But they do and they will

Personal & professional development

RISK & REWARD SEPTEMBER 2001 31

Stress is simply a message, apersonal invitation to make achange. The key to managing

stress is to understand it

So what does that say about us, about the way wechoose to lead our lives and the impact this has on thequality of our life? Whether we know it or not, it is achoice: conscious or unconscious. Do so many of ushave an unconscious death wish? Is this what we wantand is it really good for business in the long term? If theanswer to any of these questions is no, what can we doto effectively solve some of these issues?

I recently visited the office of a well-known Londonbased hedge fund of funds manager. This companyhas grown so quickly that it has moved four times innearly as many years. Its new offices are bright andgive staff plenty of space. A small fully-equipped gymwith shower facilities holds centre place and the staffis actively encouraged to use it. There is an aura ofcomfort, peace, space and time even, which in ourworld is rare.

I compare this to some other offices I knew thatalways reminded me of the Maze prison in NorthernIreland. They had the same layout, with continualentrenched warfare between different departments,located in the different legs of the H. there was nowherefor people to come together and I witnessed at first handone of the highest turnovers of staff I am aware of andeven sadly quite a few examples of stress-related men-tal illnesses. I know where I would rather work!

And, I do not even wish to go down the avenue of theadvent of the Internet and email, the continuing globali-sation (24-hour expectations) of our industry and theadditional demands, very often unreasonable, this isincreasingly putting on all of us.

In the end, I believe it all comes down to balance inone’s life. Where there is imbalance and dis-ease,gremlins will sneak in and metamorphose into physicaldisease and mental problems.

One of the most effective and proven ways ofhandling stress(full) issues and re-balancing thewheel of life is coaching – be it life coaching or busi-ness coaching. And in some way it all comes down tothe same thing. There is a misconception that this istime consuming. It is not so. Coaching can mean aslittle as a 30-minute phone call with your coach, oncea week, or once a fortnight. This half an hour of totalfocus can make all the difference. The coach will elicitfrom you and with you the solutions that are right foryou. As Sue explains, there are no universal solutions.What works for you will not work for the person in thenext office. You and only you are the expert onyourself. The skill is to know how to access thisknowledge. Bringing it to the surface is the coach’srole and function.

Explaining the method and benefits of coachingwould warrant a whole article in itself. Suffice to say thatit is about addressing and resolving issues, such asstress, that prevent us from accessing or realising ourown excellence. It enables us through the use of practi-cal tools – such as the five-minute habits – to move fromproblem to solution frames and remove some of thegremlins we may have chosen to ignore. Coaching is fullof surprises, it is an adventure, can be fun and it defi-nitely helps to alleviate stress.

I asked an expert in the field of personal develop-ment to offer some simple and practical advice. SueLiburd, md of Sage Blue, a performance managementand personal development consultancy, has providedthe following primer. Both employers and employees,would be well advised to take note.

Personal & professional development

32 SEPTEMBER 2001 RISK & REWARD

The way that you do itLove it or hate it, stress is part of modern day living. It is a used and abused word, but for most of us it representsa description of the negative changes in behaviour that results from an imbalance between pressure and a per-son’s ability to cope with it.

One of the common misperceptions of stress is that it is bad. It is certainly a challenge, and what is one per-son’s stress may be another person’s motivator. The key to managing stress is to work with it and not against it.Stress is simply a message, a personal invitation to make a change. The key to managing stress is to understandit.

Typically any stress management strategy has three parts:

• Audit• Intervention• Treatment

Stress auditStress audits should benefit the individual as well as the company. There is a range of methods that can be adoptedto ascertain the necessary information. However, most common solutions are usually centred on introducing stressmanagement workshops, having breakout areas where people can have ‘chill out’ time or employing a part timestaff counsellor. Sadly, although well intentioned as solutions, they generally do not work. For the most part knowl-edge gained in workshops is soon lost and for most people the effort and stigma attached to using other stress-related services is prohibitive. However, the company gains from having been seen to be addressing a potentialproblem!

The most effective audits usually involve on-line or paper-based questionnaires, or structured interviews thatonce correlated can provide constructive and personal feedback and inform a personal stress-management strat-egy. The following short (and light-hearted) questionnaire may just begin to encourage some readers to focus onthis area.

Determine your level of stressThinking over the past six months, answer the following questionnaire to determine if you are on your way toburnout. For this to be effective you need to be honest with yourself!

Yes No Symptoms❑ ❑ Do you feel generally more fatigued and less energetic?❑ ❑ Do you feel less of a sense of satisfaction about your performance?❑ ❑ Are you working harder and harder but accomplishing less?❑ ❑ Do you feel more cynical and disenchanted with your work and the people at work?❑ ❑ Are you getting more irritable, angry and short tempered with people around you?❑ ❑ Are you seeing close friends and family members less frequently?❑ ❑ Are you having more than your fair share of physical complaints such as body aches,

pains, headaches, colds, and flu?❑ ❑ Do you feel that you don’t have anything more to give to people?

Totals

Personal & professional development

RISK & REWARD SEPTEMBER 2001 33

ScoringIf you answered, ‘yes’ to more than five questions in the questionnaire you are in the early stages of burnout. Anymore than two ‘yes’ answers indicates that you should watch yourself as you may be starting the burnout process.

InterventionThe most effective stress management strategies are those that are based upon the needs of the individual. Managersneed to know their legal responsibility and the company policy for managing performance. An employee needs to beaware of the options and processes that are available to them should they be exhibiting signs of stress. Work placeenvironments need to be conducive to people being able to say “I need some support”. The interventions that followneed to reflect the range of learning styles, personality types and cultural diversity of the target audience.

Typical interventions are:

• Physical fitness• Diet and health• Counselling• Tai chi/yoga• Meditation & relaxation techniques• Massage/aromatherapy• Life skill coaching• Business coaching

All of the above are useful and will help. Different techniques will appeal to different people at different times.At Sage Blue we prefer to use a personality survey to evaluate individuals, teams and departments. By measuringall aspects of their personality we can provide feedback on not just a person’s basic personality, but also their workbehaviour, changes in behaviour under pressure and an indication of current stress levels – and whether its originis from within or outside of the workplace. From that a customised stress management programme can bedesigned, based on a range of options. Furthermore, it can be linked to workplace performance and objectives.

For example, an individual who is struggling to find the right balance between the pressures of paid employment,the meeting of personal, family and community needs and commitments may benefit from life skills coaching.Generally, managers need training in this area, see above, and will need to attend workshops and/or refresher sem-inars. Senior managers with erratic stress-related behaviour are likely to benefit from business coaching. Employeeswith changed personal circumstances may simply need to be able to temporarily vary their working hours.

TreatmentIndividuals who have or are suffering ill health as a result of stress need the support of a health professional or toat least be able to access stress counselling.

There is no one magic formulae to the successful management of stress, but doing nothing or adhering to igno-rance is not a viable option. Stress is the body’s way of sending us a message that will only become bad if youignore it, lie about it, bury it or fight it. Sue Liburd

Florence Lombard ([email protected]) is an NLP master practitioner and coach. Sue Liburd is md of Sage Blue Ltd([email protected])

Artificial intelligence

34 SEPTEMBER 2001 RISK & REWARD

In times of crisis and economic slowdown few con-ventional fund managers can avoid making losses, letalone make profits. This study will show howadvanced trading models can help conventional and

hedge fund managers achieve solid returns (over 20%per year) with low risk. In order to achieve this, hedgefund managers need flexible and powerful trading sys-tems that will evolve with changing market conditions.

Directional trading and stock selection hedge fundmanagers often rely on some sort of the mechanicaltrading system to bring discipline to their trading and tohelp them avoid investment decisions driven by senti-ment. These mechanical trading systems use differentapproaches to exploit market inefficiency. The oldest aretechnical and fundamental analysis, which try to exploittrends, cycles, and patterns that exist in all markets.These mechanical trading systems could be furtherimproved by the use of advanced modeling tools such

Two heads

are better than one

How do you outperform the S&P 100 by over 50 percentage points in threeyears? Vlade Milanovich leads the way...

Artificial intelligence

RISK & REWARD SEPTEMBER 2001 35

as artificial neural networks (ANN), genetic algorithm(GA) and fuzzy and natural language processing (NLP)systems.

The use of technical indicators as an investment toolhas been extensively studied by Brock, LeBaron andLakonishok1. They applied 26 simple trading rules to 90years of daily Dow Jones Industrial Average (DJI) dataand found that every single rule outperformed thebenchmark. Sullivan, Timmermann and White2

expanded this study by applying 8,000 parameterisa-tions of trading rules over 100 years of DJI and Standardand Poor’s (S&P) daily data and concluded that the besttechnical trading rules are capable of generating supe-rior performance even after removing the effect of data-snooping bias3.

However, they also found that for the last ten years oftest data (1987-1996) the trading rules did not outper-form the benchmark. It is well known that some types ofindicators perform better in the trending markets, whileothers do so when the market is in an oscillatory statewith many turning points. Choosing the right indicator at

the appropriate time by a trial and error process can betime consuming. To overcome this problem, geneticalgorithm can be used to select subsets from a universeof available indicators.

The fundamental analysis approach is in essencethe same as the technical approach. They both attempt to determine overvalued/undervalued, over-bought/undersold and supply/demand factors of finan-cial instruments. The only difference is in the selection ofvariables used in order to determine these factors.

While technical analysis is based on time-series indi-cators derived from the closing, opening, high and lowprices, fundamental analysis uses additional variablesrepresenting the general state of the economy. Modelsbased on fundamental analysis are mainly used forintermediate and long term forecasting and if welldesigned, can predict long-term price directions. Aswith technical analysis, it is not essential for the modelsto identify good companies, but to find ones that areundervalued compared to what the market estimatesare at the time.

Trading systems could befurther improved by using

advanced modeling tools suchas neural networks, genetic

algorithm, and fuzzy and naturallanguage processing systems

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Financial On-line News

Qualitative data

Quantitative data

Historical PricesMarket Fundamentals

Sentiment Indicators

Technical Indicators

G AOptimiser

Filters

A N N / G AN L P

TradingSystem

LongShortExit

Figure 1: AI trading system

These days very few trading models based solely ontechnical and fundamental analysis manage to produceconsistently positive returns. Better results can beachieved if these trading models are combined withartificial neural networks, genetic algorithm tools andwith natural language processing systems. An exampleof the possible AI trading system is shown on theprevious page.

Investment decisions tend to be more biasedtowards buying than selling. This could possibly be dueto the relatively recent rapid growth in westerneconomies and even to the predominantly optimisticside of human nature. In times of crisis and economicslowdown very few investment companies manage toavoid making big losses, let alone making profit. In theseconditions mechanical trading models bring disciplineinto trading and help avoid bad investment decisionsdriven by these sentiments.

It needs to be stressed that no trading system canpredict future prices accurately, but what can be esti-mated is the probability of future price movements.This approach would improve the odds of making aprofitable trade in much the same way that casinomakes money from its roulette wheel. A casino doesnot know what number will come up next, but it doesknow that the odds are that it will make money in thelong run. In order to develop such systems for thefinancial markets, a good understanding of AI tools isnecessary as well as knowledge of existing tradingsystems and strategies.

In recent years neural networks have gained grow-ing popularity in financial markets. They can beapplied to many problems in finance where little isknown about the relationship between variables andwhere it is not possible to derive a deterministic model.Given enough data and enough hidden neurons, neu-ral networks are capable of approximating any contin-uous functional mapping. Their ability to extract essen-tial information buried in noisy data by non-linear map-ping of many input variables to one or many outputvariables and their fast response time in recall mode

makes them very good for building real-time financialapplications.

Neural network outputs can be expressed as condi-tional probabilities if appropriate cost and activationfunctions are used4. In this way networks are used asclassifiers showing both the presence and the probabil-ity of class membership. Neural networks are usuallytrained by minimising the least square error function butother cost function can be used such as those that max-imise profit or the number of wining trades.

Although neural networks arguably offer the mostadvanced data modeling power, many businesses arereluctant to use them because the internal representa-tions of patterns found in data are not presented to theend user. This ‘black box’ problem has been addressedby extracting the rules from the trained neural networks.Commercial tools have already been developed to solvethis problem. More trust may be gained by a betterunderstanding of the representation of neural networkoutputs.

The selection of neural network architecture is pre-dominantly dependant on the problem it is trying tosolve. They can be applied to a wide range of tasksincluding pattern recognition, classification, interpola-tion, filtering, system estimation and forecasting. Themost commonly used are multi-layer perceptron, recur-rent neural networks, radial basis function networks,probabilistic neural networks, learning vector quantisa-tion and Kohonen networks. In order to solve complextasks, a combination of two or more of these types canbe applied.

In recent years there has been increasing interestin applying neural network models to high frequencyfinancial data. Empirical evidence demonstrates thatthe market is less efficient on short time scales andthis inefficiency could be exploited by forecastingmodels.

Analysts and portfolio managers can use neuralnetworks to select a successful portfolio out of a largeuniverse of stocks. This portfolio’s performance can befurther improved by implementing an AI trading model

Artificial intelligence

36 SEPTEMBER 2001 RISK & REWARD

The success of neural networkapplications to time seriesforecasting, as with anystatistical modeling tool,depends heavily on theinformation within the data itself

Artificial intelligence

RISK & REWARD SEPTEMBER 2001 37

that will undoubtedly outperform a simple buy and holdstrategy.

It is important that the model is well thought outbefore implementation and there is an understanding ofwhat can be expected from it. Successful trading mod-els should produce good results when tested on sev-eral years of out-of-sample data on a large portfolio ofrandom instruments. It must be stressed that the suc-cess of neural network applications to time series fore-casting, as with any statistical modeling tool, dependsheavily on the information within the data itself. Thisdata needs to be pre-processed to a suitable form foruse with neural networks. Pre-processing is needed inorder to scale the data into a desired range, to reducethe number of inputs, remove noise, and for encodingtextual data.

Examples of typical pre-processing can be simplenoise filtering or more complex tasks such as Fourieror Wavelets transforms. Care needs to be taken not toremove chaotic or non-linear components from thetime series by filtering, as these elements can improvemodel performance. Neural networks can be used forsuccessful filtering. Unlike polynomial and smoothingsplines, they are easy to extend to multiple inputs andoutputs without an exponential increase in the numberof parameters.

Another pre-processing concern is the handling ofdata outliers. Most financial models ignore data outlierson the basis that volatility before and after the largeshift in price is similar, but in practice quite often a sin-gle outlier is followed by several ones in the same oropposite direction. By including outliers in the modelwithout disturbing its properties can prevent big lossesin volatile periods.

Table 1. Three years indices and the system return

Index Return (%) System Return (%)Dow 20.68 76.37Nasdaq 100 4.72 141.59S&P 100 7.92 59.65

-20.00

0.00

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urn

(%)

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8/20

/98

10/2

0/98

12/2

0/98

4/20

/99

8/20

/99

10/2

0/99

2/20

/00

6/20

/00

8/20

/00

12/2

0/00

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/01

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/99

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Nasdaq 100System Performance

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/98

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0/98

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/99

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/99

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/01

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/99

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/00

10/2

0/00

4/20

/01

8/20/9810/20/98

12/20/984/20/998/20/9910/20/992/20/006/20/008/20/0012/20/002/20/016/20/01-20.00-10.000.0010.00

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60.00

70.00Return (%)S&P 100System Performance

2/20/996/20/9912/20/994/20/0010/20/004/20/01 Figure62l System performance applied to all stocks inDow compared to the index return.Figure63l System performance applied to all stocks inNasdaq 100 compared to the index return.Figure64l System performance applied to all stocks inS&P 100 compared to the index return.

A similar model to the one shown in Figure 1 wasapplied to all stocks in the Dow Jones Index, Nasdaq100 and S&P 100 index daily data from 20 August1998 to 16 August 2001. Figures 2, 3, and 4 show thesystem performance compared to the index returnsperformance for the same period. The system clearlyoutperformed all indices. Three-year index returns and

the system’s returns are shown in Table 1. Figure 5 shows system performance for all stocks in

all three indexes. The system’s three-year return was+96.7% .

By observing the above charts one can concludethat the system is very stable, has low volatility, smalldrawdown and steady performance. The system gener-ates both long and short trades. The average number oftrades per stock for the three year period are shown inTable 2. Transaction costs are not included in the results.It can be observed that the system performs well in bothtrending and the sideway market.

All results were obtained on out-of-sample testingwere model parameters were optimised on three yearsof historical data and tested on three months of newdata ‘unseen’ by the model. In order to produce threeyears out-of-sample data these periods were shiftedrepeatedly.

These results were achieved on a fixed portfoliocomprising all stocks in the three US indexes. Even bet-ter results should be achieved by advanced stockscreening methods. This would create a smaller but amuch more profitable portfolio.

In current market conditions it maybe anticipated that traditional fundmanagers will learn to rely on these newtrading and analytical tools.

Artificial intelligence

38 SEPTEMBER 2001 RISK & REWARD

Table 2. Trade statistics

All Trades Long Trades Short TradesAverage number of trades 192 96 96Average number of winning trades 110 57 53Average number of losing trades 82 39 43Percent profitable trades 57.29% 59.38% 55.21%

Vlade Milanovich is a computerprogrammer, currently specialising infinancial markets. He works for NomuraInternational in London

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Figure 5. System performance applied to all stocks inall three indexes compared to the indexes return.

The system’s three-yearperformance for all stocksover three indices was 96.7%

1 Brock W., Lakonishok J. and LeBaron B. (1992) Simple Technical Trading Rules and the Stochastic Properties of Stock Returns,

Journal of Finance 47, 1731-1764.2 Sullivan R., Timmermann A. and White H. (1997) Data-Snooping, Technical Trading Rule Performance, and the Bootstrap,

Technical Report, University of California, San Diego.3 The bias is introduced by the large number of experiments done using the same set of data. “It has been reported in Business

Week (1997) that David Leinweber of First Quadrant Corporation after sifting through a United Nations CD-ROM discovered that

historically, the single best prediction of the S&P 500 stock index was butter production in Bangladesh.”4 Bishop C. M. (1995) Neural Networks for Pattern Recognition, Oxford University Press.

Performance measurement

RISK & REWARD SEPTEMBER 2001 39

Life atSharpe’s end

By demonstrating the sources of returnand economic function of variousalternative strategies, Hilary Till

explains why standard performancemeasures may be misleading, and why it

may not be a good idea to rely ondiversification arguments in selling

alternative investments

If you saw that a well-known Commodity TradingAdvisor (CTA) was in a Top 20 CTA table with returnsof 44.1% during the year 2000, you would probablythink that CTA did a great job for their investors, right?

But what if that CTA’s Sharpe ratio was also .19? (This isa real example.)

For futures programs, the meaning of rate-of-returnnumbers can be somewhat ambiguous, given that onedoes not need to set aside capital in the amount of aprogram’s funding level. Instead, an investor can frac-tionally fund an account using ‘notional funding’.

For example, a futures program I am very familiarwith requires an investor to set aside about 20% ofequity for futures margin and as a loss reserve. (In otherwords, one needs to fund the CTA with $20 for every$100 made into the investment.) This program’s year-over-year returns were 16.3%. If the program’s returnswere stated on the basis of the actual amount of capitalneeded to participate in the program, the year-over-yearreturns could be restated as 81.5% (= 16.3% / .20).

With the ability to leverage, a futures manager canarbitrarily restate returns to any number of levels.

Performance measurement

40 SEPTEMBER 2001 RISK & REWARD

Therefore, in order to get a clearer picture of the liabilityassumed when investing in a futures program, manyinvestors use the Sharpe ratio (excess return of theinvestment over the risk-free rate divided by its standarddeviation) to evaluate a manager.

Given that a hedge fund manager typically aims fora Sharpe ratio of greater than 1.0, the CTA manager witha Sharpe ratio of .19 would do poorly under this crite-rion. And in fact, this manager’s largest draw-down wasfairly hefty, in the 30% arena.

But the Sharpe ratio has its own set of difficulties asa performance measure. In September 1996, after 31months of operation, Long Term Capital Management(LTCM) reportedly had a Sharpe ratio of 4.35 (afterfees). With the benefit of hindsight, we can say thatLTCM’s realised Sharpe ratio after two and a half yearsof operation did not give a meaningful indication of howto evaluate its investments.

In this article, I will touch upon the quantitative andmodeling shortfalls of the Sharpe ratio and other relatedCapital Asset Pricing Model (CAPM) measures used toevaluate alternative investments. These shortfalls canbest be appreciated once one understands the com-mon nature of how most alternative investment strate-gies earn their returns. And surprisingly, once oneunderstands the source of a program’s returns, even aninvestment with a Sharpe ratio of .19 could win a placein an investor’s portfolio based on certain return-to-riskconsiderations.

A number of assumptions have to be made whenaccepting the use of various CAPM metrics. UnderCAPM:(1) Investors choose portfolios according to a mean-

variance framework; and(2) There is only one source of risk for which investors

are rewarded, and that is market risk.

The Sharpe ratio results from accepting the firstassumption. The use of the statistic, alpha, results fromaccepting the second assumption. Alpha is the excess

return above and beyond taking on market risk. Underthe theory, a manager can only earn a positive alpha ifs/he has an ability to identify mispriced securities or totime the market.

The first assumption – that investors choose portfo-lios according to a mean-variance framework – pro-duces difficulties when an investment strategy hashighly asymmetric outcomes, as with option strategies.By using variance (or standard deviation) around themean as the risk measure, one is assuming thatinvestors are indifferent to direction of risk. In this case,investors are said to not have ‘skewness’ preference.But investors most certainly do have a preference forupside risk and an aversion to downside risk!

An investor can seem to ‘outperform’ under CAPMby accepting negatively skewed returns in exchange forimproving the mean or variance of the investment. As amatter of fact, Hayne Leland of UC-Berkeley has shownthat a strategy of selling fairly valued options can pro-duce a positive alpha. Now of course it shouldn’t, giventhat a positive alpha should only result from a managerhaving superior market information.

It should then be no surprise that a managed futuresarticle from a year ago noted that option sellers scoredhigh Sharpe ratios. The average Sharpe ratio for optionstraders in the Barclay CTA database was measured at1.42 while the average Sharpe ratio for all CTAs in thisdatabase was .56.

To be fair, professional investment consultants doattempt to correct for the Sharpe ratio’s lack of empha-sis on downside risk, sometimes by using the Sortinoratio. This measure is defined as the incremental returnover a minimum acceptable return (MAR) divided by thedownside deviation below the MAR. In the downsidedeviation calculation, if an outcome has a value greaterthan the MAR, it gets a value of zero in this risk calcula-tion. Only outcomes with values of less than the MAR areincluded in this risk measure.

The Sortino ratio also has its own set of problems, aspointed out by Frank Sortino himself (of the PensionResearch Institute). The main problem is that it is usually

With the benefit of hindsight,we can say LTCM’s Sharperatio after two and a halfyears of operation did not givea meaningful indication of howto evaluate its investments

Performance measurement

calculated based on discrete data over a limited time-frame. Investment statistics calculated over limited timeintervals are very unstable, making this ratio (and anyother ratio based on discrete data) not very useful inmaking predictions for the future.

As James Grant has written in Grant’s Interest RateObserver Wall Street will take any new money-makingstrategy and drive it (and its returns) into the ground likea tomato stake. This tendency for a strategy’s popularityto result in its distribution of returns changing dramati-cally is especially strong with alternative investmentstrategies, since their hallmark is the use of leverage.David Shaw of DE Shaw noted recently that the condi-tions of the fall of 1998, which led to the failure of LTCMand Shaw’s own relative-value bond fund, had neverhappened before and therefore could not have beenmodeled (if one were solely relying on historical data tobuild one’s models).

Sortino, in common with other authors, has recom-mended that one should derive a downside risk meas-ure from estimations of the shape of uncertainty for aninvestment program, including its skewness in returns.He also has recommended re-scaling a specific invest-ment manager’s risk measure based on the risk of itsinvestment style, for which longer term data would beavailable.

I would agree with the direction of Sortino’s refine-

ments, but they are very difficult to implement in prac-tice. Basically, one would have to have a very strong the-oretical understanding of an investment to successfullymodel its ‘shape of uncertainty’.

The second assumption – that investors arerewarded only for assuming market risk – can produceperformance metrics that create an illusion of superiormanager skill (as in the option sellers example). UnderCAPM, an asset will earn a return greater than T-billsonly if it tends to move up and down with the market. Anyreturn unrelated to the market would be due to superiorjudgment or inside information. This excess return isknown as alpha, as touched upon above.

The latest stream of thought by financial economistsis that there are multiple sources of risk besides the mar-ket risk factor, which can produce high average returns.If an investor passively bears any of these risks, thatinvestor will earn a return which is not conditioned uponsuperior information. Frequently, there may be largelosses from bearing one of these risk factors, resulting ina short-option-like return distribution, but the returnsover time are sufficient to make the activity profitable.These returns are called ‘risk premia’.

In such instances it would be misleading to calculatethe excess returns over the market return of such anactivity and then call the results of this calculation‘alpha’, which implies that the returns are due to man-

Once one understands thesource of returns, even an

investment with a Sharpe ratioof .19 could win a place in a

portfolio based on certainreturn-to-risk considerations

ALLENBRIDGE HEDGE FUND RATING & RESEARCH

Independent hedge fund and fund of funds rating & research for advisors, intermediaries and professional investors.

Please visit our new website: www.hedgeinfo.com

For further information please contact: Jacob H Schmidt, Director of Hedge Fund Research,Allenbridge Group plc, 16 Bolton Street, London W1J 8LY.

Phone: +44-20-7409-1111 Fax: +44-20-7629-7026 [email protected]

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Performance measurement

42 SEPTEMBER 2001 RISK & REWARD

ager skill in either market timing or in identifying mis-priced securities.

Using the Sharpe ratio to evaluate risk-premiastrategies will create the same type of problems as withmeasuring the risk-adjusted performance of short-option sellers. In investment activities where one earnsa risk premium, an investor is implicitly short options andis therefore exposed to asymmetric payoffs. And asnoted before, the CAPM measures are inappropriate forinvestments with highly skewed outcomes.

In the following section, I will give several examplesof alternative investment strategies where it appearsthat the investor earns a risk premium. (John Cochraneof the University of Chicago originally collected some ofthese examples.)

Relative-value bond fundsOne could argue that a relative-value bond fund earnsits returns by taking on the illiquid assets that interna-tional banks desire to lay off when in need of reducingrisk. The fund hedges this risk by shorting liquid assets.A relative-value bond fund thereby provides a reinsur-ance function for financial institutions, but it alsoexposes the fund to liquidity crises. As a result, anexamination of empirical data shows that relative-valuebond funds have short-option-like returns. An investor insuch funds assumes the risk of systemic financial dis-tress and provides other investors with the flexibility ofbeing able to readily liquidate their investments. A rela-tive-value bond fund is in essence providing real optionsto other investors.

Equity risk arbitrageIn this strategy, a merger candidate is bought by ahedge fund at a discount to where its intended buyerhas announced it will pay for the company. An investorassumes the risk that a merger deal will fail. This strat-egy tends to earn consistent returns but sustains verylarge losses in the event that a deal is not consum-mated.

Historical analysis of merger arbitrage deals shows

that this strategy’s return is correlated to the overall mar-ket during severe market downturns, giving a return pro-file similar to short index put options.

A recent Financial Times article noted that profes-sors Mark Mitchell of Harvard University and ToddPulvino of Northwestern University have created aninvestable risk arbitrage index. This passive index,which will be run by AQR Capital Management, hasmatched the returns and risks of active risk arbitragemanagers over a ten-year timeframe.

Given that it appears that one can earn the returnsfrom this strategy in a passive manner and given thatone is also assuming the risk of severe market down-turns with this strategy, it appears that one is earning arisk premium by entering into this type of investment.

Equity option market-makingEquity option market-makers are risk transfer agents forinstitutions that want to alter their risk profiles by buyingoption protection for their portfolios. Given the institu-tional demand for out-of-the-money options, impliedvolatilities for these options are typically higher thannearer at-the-money options. Using this valuation mis-match, market-makers are able to create hedged port-folios of options where they are short the relatively over-valued options against other options which are not in asmuch demand. The consistently successful market mak-ers appear to earn a return for providing ‘catastropheinsurance’ to institutions.

Value vs growth equity strategyOne market anomaly identified by Barr Rosenberg andothers in the 1980s was that one could earn returnsbeyond that predicted by CAPM by investing in stocksthat have high book-value-to-price ratios. This strategyhas historically had twice the Sharpe ratio of the overallmarket. An interesting argument by Eugene Fama andKenneth French of the University of Chicago a decadelater was that an investor pursuing this strategy is actu-ally providing recession insurance to other investors.

The idea is that investors have larger economic wor-

A consequence ofunderstanding strategies asbeing inherently short event riskis to reassess their role asdiversifiers for conventionalstock-and-bond portfolios

Performance measurement

RISK & REWARD SEPTEMBER 2001 43

ries than just the performance of their investment portfo-lios. The main source of income is from their jobs. In theevent of a recession, individuals whose jobs are at riskwould not want their portfolios to be particularly at risk tothe business cycle. This means avoiding stocks of com-panies that could be threatened with bankruptcy. Oneindication of a weak company is one in which its price-to-book ratio is low.

An investor who systematically buys stocks basedon ‘value’ considerations such as a low price-to-bookratio and sells stocks based on ‘growth’ considerationswould be taking on the business cycle risk that mostother investors desire to avoid.

So, rather than saying that this strategy provides apositive alpha, one might include a recession-risk factorin a model of asset-class returns and note that the strat-egy’s returns result from exposure to this risk factor.

High-yield currency investingIn this strategy, one invests in currencies with relativelyhigh interest rates and funds this purchase in a currencywith relatively low interest rates. On average this kind ofstrategy has proven profitable; the forward rate of cur-rencies is not predictive of where future currency spotrates will be. One could argue, particularly in caseswhere a currency pair has an extreme interest-rate dif-ferential, that one is taking on devaluation risk with thisstrategy. This devaluation risk increases with globalfinancial panics. This strategy definitely has a short-option-type payoff profile.

Other trades, such as embedded fear premium incommodities futures prices, Weather fear premia infutures markets also embed options risk.

ImplicationsWe note then that a number of diverse alternative invest-ment strategies appear to earn their returns due toassuming risk positions in a risk-averse financial world,rather than from inefficiencies in the marketplace.

A risk-premia strategy’s ‘excess’ returns are in effectdue to being short options. This is the opposite indicator

of manager skill: one way to measure manager skill atmarket timing is if the manager’s strategy produces areturn profile similar to being long free put options.

One problem for the risk and performance measure-ment of risk-premia-type strategies is that while one maybe earning a return due to the assumption of a cata-strophic risk, an empirical measure may not show this ifthe Big Event has not occurred yet. Therefore, we are lefttrying to understand why an investment has beenallowed to earn returns consistently. If we believe this isdue to the assumption of event risk, we will need tohandicap any performance measurement that shows amind-boggling, empirical return-to-risk metric.

A major consequence of our understanding of anumber of alternative investment strategies as beinginherently short event risk is to reassess their role asdiversifiers for conventional stock-and-bond portfolios.The nature of correlation changes dramatically duringeventful times. In the fall of 1998, for example, the cor-relation of market-neutral hedge funds to broad marketsapproached 1.0. Therefore, one should probably not relyon diversification arguments in advocating hedge-fundinvestments. Instead, one should probably note whetheran investor is particularly well paid for assuming a fund’srisks and also decide whether an investor is in a uniqueposition to assume risks that others wish to lay off (or nottake on).

We can now return to the original example of theCTA with a Sharpe ratio of .19. In this example, theCTA’s investment process benefits from large structuralshifts, since the firm is a systematic trend-follower.During the fall of 1998, this CTA stood out with its dou-ble-digit returns. Once we define risk as exposure toinfrequent, extreme financial distress, we can see that aCTA with a Sharpe ratio of .19 could be preferable to ahedge fund with a Sharpe ratio of 4.35 based on anevent-risk-adjusted return metric.

In the October issue Hilary will offer some solutions tothe problems she has indicated above. Hilary Till is aprincipal of Premia Capital Management.

Pumping and dumping involves buying a lot ofstock (usually in a small or illiquid company) inorder to pump up the stock price to an artifi-cially high level. Often this is coupled with talk-

ing up the price at the same time. The object is toencourage investors to buy at the artificially inflatedprice. The pumper then dumps the stock at the inflatedprice and collects his profits.

In the hedge fund variation of this, the fund manageruses his fund’s assets to buy a particular stock andpump up its value, which in turn increases the value ofthe fund’s portfolio. The closer this happens to the datefor calculating the fund’s NAV, the more likely that theNAV (and the fund price based on that NAV) will also beartificially inflated. To complete the dumping part of theexercise, the manager then liquidates his own holdingsin the fund at the inflated NAV.

The US Securities & Exchange Commission recentlyfiled charges in what appears to be its first enforcementcase against this sort of specialist portfolio pumping.According to the charges, Burton G. Friedlander ran aninvestment management company and a number ofrelated funds and entities. About 40% of the net assetsof one of his hedge funds was invested in stock and war-rants of eNote.com, an OTC Bulletin Board company.The price of eNote stock common stock was used todetermine the value of the eNote preferred stock andwarrants in the fund’s portfolio. At the end of each monthfrom August to December 2000, Friedlander and his

management company bought large quantities of eNotecommon stock through brokerage accounts held for thebenefit of his other managed funds, at increasing priceson the last trading day of each month. These purchasesmanipulated the eNote stock price upward at the end ofeach month, in some cases more than doubling it.Friedlander also assigned arbitrary values to the eNotewarrants in the hedge fund’s portfolio that were highereven than the price of the underlying common stock.

Between August 2000 and February 2001, whereadditional investors were subscribing to the hedge fundat the inflated NAVs, Friedlander arranged redemptionsof more than $2.4 million for himself and his entities, atthe expense of the other investors.

The SEC charged Friedlander and his related entitieswith market manipulation and fraudulently inflating andmisrepresenting the value of a hedge fund, in breach of:(1) Section 10(b) of the Securities Exchange Act of 1934and Rule 10b-5; and (2) Sections 206(1) and (2) of theInvestment Advisers Act of 1940.

The sort of activity described above would be recog-nised by most people as market manipulation. Typicallythis involves false or misleading statements or as tradingactivity which is not ‘genuine’.

However, the question of what is or is not a genuinetrade is not always straightforward. Trying to push up theprice of a deliverable future or forward trade in order tosqueeze the shorts (buying up the deliverable supply ofthe Liffe bund contract comes readily to mind) can beseen (just about) as a legitimate trading strategy, withthe person running the squeeze genuinely taking a com-mercial position in the market. It can be distinguishedfrom pumping and dumping by the fact that in the lattercase, the pumping up of the price is in itself intended tobe misleading. Even though there is no verbal misrepre-

Legal/regulatory review

44 SEPTEMBER 2001 RISK & REWARD

Pumping anddumping – thehedge fundapproachRegulators on both sides of the Atlanticare getting tough on marketmanipulation, warns Dick Frase, in hisregular legal and regulatory review

Legal/regulatory review

RISK & REWARD SEPTEMBER 2001 45

sentation, the price movement is generated deliberatelyto mislead investors into buying at inflated prices.

Abuse in the UK UK regulated investment managers are subject to verywidely framed rules on matters of this sort, beingenjoined by the FSA’s statements of principle to observehigh standards of integrity, fair dealing and of marketconduct. In addition, section 47 of the FinancialServices Act 1986 creates a general criminal offencewhich applies to anyone engaging in a course of con-duct which creates a false or misleading impression asto the market in or price or value of investments, if theperson concerned does so for the purpose of creatingthat impression and thereby inducing another person todeal in those investments. It is a defence if the defen-dant can show that he reasonably believed his conductwould not create a false or misleading impression.

The new FSA Market Abuse Code of Conduct willreplace the old section 47 regime very shortly. It isaimed at all market participants, and takes the oldmanipulation concept a stage further. It prohibits misuseof information (which would cover matters such as frontrunning and insider dealing but extended to commodi-ties and other non-securities investments); misleadingpractices (the old Section 47 ‘false or misleadingimpression’) and introduces a new concept of marketdistortion (impeding the proper operation of marketforces). This includes the new concept of an ‘abusivesqueeze’, which occurs where someone has significantinfluence over the supply or delivery mechanism for aproduct, holds positions under which it requires othersto deliver or take delivery of that product, and uses thisto distort settlement prices. In other words it appears tobe aimed at a ‘squeezing the shorts’ strategy. It remainsto be seen whether the effect of this will be to changesome existing market practices.

The significance of the defendant’s state of mind isoften important in deciding whether there has beenmanipulation. Did he set out to manipulate the market orshould it have been self evident to him that what he did

would have a manipulative effect? The new MarketAbuse Code does not have a specific requirement forintent, but intent may still be relevant to liability in a par-ticular situation. In addition , the Code introduces a newtest that, to be an abuse, the conduct concerned mustbe such that a regular user of the market would regardit as unacceptable.

Administrator liabilityA recent SEC Administrative Proceeding deals with theliability of an administrator for misconduct by a fundmanager. The case helps to illustrate the point at whichturning a blind eye to misconduct can become collud-ing in a fraud.

On 3 August the SEC announced the settlement ofadministrative proceedings relating to Donna L. Wood, aresident of Washington, who acted as fund administra-tor for an unnamed offshore hedge fund betweenSeptember 1997 and July 1999. The SEC consideredthat the fund manager had been guilty of a series of mis-representations to investors relating to the use of fundassets, fund performance, performance fees, fund man-agement, and accounting and compliance issues. Asregards Ms Wood, the SEC alleged that she had ren-dered substantial assistance in this misconductbecause, among other things, she received investordeposits, maintained the investor roster, kept the booksand records, and distributed account statements, distri-bution cheques, and investor communications. Sheknew, or was reckless in not knowing, that her role waspart of an overall activity that was improper, becauseshe knew that the adviser was using investor funds in amanner that was inconsistent with its representations toinvestors regarding the use of their funds.

In settlement of these proceedings, and withoutadmitting or denying the charges, Ms Wood agreed tobeing banned from any association with an investmentmanager for at least three years.

Friedlander’s purchasesmanipulated the eNote stock

price upward at the end ofeach month, in some cases

more than doubling it

Dick Frase is a regulation and financial servicesspecialist with Dechert’s London practice

47 SEPTEMBER 2001 RISK & REWARD

ZCM data: managed futures

Discretionary traders just made itinto positive territory, up 0.2%.

In the trading subsectors, onlystock index traders had good news,up 0.2%. Currency traders were thebiggest losers, down 1.4%, followedby diversified traders, down 0.6%,and financial traders, down 0.3%.

The Zurich Fund/Pool QualifiedIndex was down 0.4% in July. Ofthe 298 funds/pools reporting per-formance, 46.0% were positive.However, 62.0% beat the S&P 500index.

Net asset flows for managedfutures were positive in July.Systematic traders continued ontheir roll, accounting for the lion’sshare of net inflows, $553 million.They were followed by trend-basedtraders, who had net inflows of $143million.

Discretionary traders saw netoutflows of more than $26 million.

Diversified traders overwhelmedthe competition with net inflows of$496 million. Currency traders hadnet inflows of $84 million, followedby financial traders with net inflowsof $20 million and stock indextraders with net inflows of $7 million.

The second quarter ended on arough note for managed futures.The Zurich (formerly MAR) TradingAdvisor Qualified Universe Indexwas down 0.4% in June. Of the 211trading advisors reporting perfor-mance, only 40% were positive,and only one of those was in dou-ble digits. However, 75% ofadvisors surpassed the S&P 500index, which was down 2.4%.

Trend-based traders sustainedthe biggest loss in June, down2.5%. Discretionary and systematictraders were both up around 0.4%.

Currency traders were the bigwinners in the trading sectors, up3.4%. Stock traders also enjoyedgains, up 1.9%. For their part, finan-cial traders were down 1.1%, anddiversified traders were down justabout 1.0%.

The Zurich Fund/Pool QualifiedIndex was down 0.6% in June. Twohundred twenty-four funds/poolsreported their performance. Ofthose, 41% were positive, but 79%beat the S&P 500 index.

Net asset flows for managedfutures were positive in June.Systematic traders yet again gob-bled up the lion’s share, with netinflows of $365 million. Trend-basedtraders had net inflows of $80 mil-lion, and discretionary traders $24million.

Diversified traders easily out-paced other traders, with net inflowsof $303 million. They were trailed bycurrency traders, who had netinflows of $167 million, and financialtraders, with net inflows of $24 mil-lion. Only stock index traders hadnet outflows in June, of $6 million.The third quarter started with awhimper. The Zurich (formerly MAR)Trading Advisor Qualified Universewas down 0.7% in July. Forty-fourpercent of the 249 trading advisorsreporting performance were posi-tive in July; five advisors were indouble digits. Fifty-six percent ofadvisors beat the S&P 500 index,which was down nearly 1.0%.

Trended-based traders took thelargest hit in July, down 2.0%.Systematic traders were down 0.7%.

June jitters; July drags

July YTD YTD Max July 31Return Return Decline Assets No.

Trading Manager (%) (%) (%) ($M) of Funds

1. GAM MULTI-MANAGER ADVIOSRS 1.27 11.90 0.84 2208.91 122. JAMES RIVER CAPITAL CORP. 0.96 5.87 0.14 1416.92 143. DEAN WITTER FUND MGT* (2.54) (3.98) 11.63 1236.99 284. OLYMPIA CAPITAL MGT 0.03 6.27 0.40 648.73 25. ML INVESTMENT PARTNERS (2.18) (2.47) 9.20 561.50 166. WESTON CAPITAL MGT (0.06) 2.39 0.85 313.20 47. PRUDENTIAL SECURITIES FUTURES MGT (3.46) (5.93) 14.07 138.17 188. PERMAL ASSET MGT 0.07 6.44 1.80 128.09 19. JONES COMMODITIES INC 0.60 13.93 0.30 118.00 110. BERKELEY ASSET MGT 0.70 11.86 0.86 55.90 111. LIBERTY FUNDS GROUP (3.00) (10.34) 18.75 48.49 1212. ATA RESEARCH INC/PROFUTURES 1.15 (2.04) 6.32 41.53 313. PARADIGM CAPITAL 0.20 6.27 0.79 40.91 114. BENCHMARK CAPITAL MGT GMBH (1.12) 1.78 4.04 39.72 615. KENMAR ADVISORY CORP (6.50) (4.78) 11.79 39.54 416. HEINOLD ASSET MGT 1.01 1.72 3.18 32.78 1517. MOUNT LUCAS MGT (2.00) (0.99) 8.32 21.40 218. T YOUNG & CO 0.39 11.92 1.05 20.70 619. DEARBORN CAPITAL MGT 0.24 0.55 6.45 18.10 220. TACTICAL INVESTMENT MGT (1.70) 6.91 3.36 8.72 221. STEBEN & CO (2.45) 1.86 9.41 8.59 222. NATIONAL PENSION & GROUP CONSULTANTS 1.24 (1.56) 4.32 6.43 123. OPTIMA FUND MGT 0.04 1.12 2.70 4.90 224. TJM CAPITAL PARTNERS (2.51) 1.05 3.09 3.60 125. SJ MORTIMER (0.75) 3.73 2.50 2.29 226. REFCOFUND HOLDINGS CORP (6.24) (24.49) 28.69 1.51 227. COLLINS CAPITAL MGT (0.72) (13.73) 13.73 1.48 1

Data: Zurich Capital Markets © 2001. No claim to orig. US Govt works. All rights reserved.Data is dollar-weighted and based on information voluntarily supplied to ZCM* Include institutional and private accounts not appearing in tables, but provided to ZCM

Top trading managersranked by asset size

RISK & REWARD SEPTEMBER 2001 48

ZCM data: hedge funds

The quick pace of the late springslackened in June, as only 54.0% ofthe 1,204 hedge funds and funds offunds reported positive perfor-mance. However, a whopping86.0% beat the S&P 500 index,which was down 2.4%.

MD Sass Re/EnterpriseInternational, which has $24.6 mil-lion under management (includingside-pocketed assets), was thebest-performing fund in June, up36%. Westcliff Energy Partners, with$6.8 million under management,was down 20%.

Short-sellers and global emergingfunds wound up on top in June,with median returns of 1.7% and1.1%, respectively. Sector fundswere up 0.7%, global macro fundswere up about 0.5%, and globalestablished and event-driven fundswere flat.

Global international funds weredown 0.5%.

Hedge funds and funds of fundshad net inflows of $1.5 billion in

June. Funds of funds andevent-driven funds grabbedmost of that, each enjoyingnet inflows of $520 million.Global macro funds hadnet inflows of $397 million,global international funds$154 million, market neutralfunds $115 million andshort-sellers more than $9 million.

Global established fundshad the largest net out-flows, $136 million. Sectorfunds also had net out-flows, $38 million, as didglobal emerging funds, $12 million.

Short-sellers set the pace in June

Hedge fund profilePerformance results

June Year-to-date Sample 36 month5th 95th 5th 95th Assets Correlation

Style %ile Median %ile %ile Median %ile Number ($m) vs S&PEvent Driven 12.09 0.01 (3.02) 37.73 4.42 (4.10) 126 17182 0.33

Dist. Securities 24.41 1.50 (0.58) 40.20 7.17 (0.39) 42 6069 0.28Risk Arbitrage 5.71 (0.55) (4.05) 19.17 3.34 (11.65) 84 11113 0.36

Global Emerging 7.21 1.12 (3.77) 44.77 5.47 (21.30) 69 3839 0.44Global Established 4.53 (0.04) (7.43) 27.85 2.33 (20.60) 276 44273 0.46

Growth 5.20 (0.19) (8.51) 15.26 (0.78) (29.38) 117 24144 0.48Small-Cap 7.35 1.19 (6.97) 38.50 7.85 (17.54) 20 1301 0.33Value 4.20 0.13 (5.25) 28.01 5.76 (16.58) 139 18828 0.47

Global International 6.79 (0.49) (5.95) 34.33 1.63 (18.74) 40 8174 0.29Global Macro 5.94 0.46 (4.58) 20.69 3.87 (15.26) 38 6453 0.23Market Neutral 4.74 0.18 (3.75) 18.07 5.24 (10.15) 256 36411 0.10

Arbitrage 3.66 0.37 (1.28) 17.98 (3.17) (27.60) 123 17479 0.15Long/Short 7.52 0.29 (5.99) 17.12 4.23 (13.10) 117 14603 0.08Mortgage backed 13.06 0.51 (0.12) 46.57 5.60 2.25 16 4329 (0.10)

Sector 8.48 0.67 (7.09) 21.44 (0.68) (33.60) 95 5274 0.45Technology 6.28 0.14 (5.43) 13.86 (2.96) (34.99) 54 2999 0.51

Short-Sellers 3.90 1.73 (7.89) 13.31 (1.47) (22.51) 12 605 (0.48)Fund of Funds 1.79 0.10 (2.05) 8.80 3.71 (8.52) 268 26923 0.37

Diversified 1.69 0.10 (1.98) 8.61 3.62 (8.52) 229 25427 0.39Niche 1.90 0.04 (2.50) 9.38 4.89 (7.45) 39 1496 0.21

1B+Managers 4.94 (0.18) (4.05) 33.88 2.86 (16.76) 28 62969 0.29A total of 1180 hedge funds and fund of funds reported this month.Hedge fund assets total $122.2 billion. Fund of funds assets total $26.9 billion*Correlation is not based on median return, but on performance of all funds in each category.Data: Zurich Capital Markets © 2001. No claim to orig. US Govt works. All rights reserved.

Style categories’ asset inflow/outflow

June 01 ($m) May 01 ($m)Event-driven 519.85 185.52Global emerging (12.19) (54.69)Global established (135.77) 357.97Global international 153.84 135.26Global macro 396.77 (143.51)Market neutral 115.32 962.34Sector (38.18) (148.66)Short-sellers 9.35 (67.58)Fund of funds 519.98 350.70

TOTAL 1528.97 1577.35Data: Zurich Capital Markets © 2001. No claim to orig. USGovt works. All rights reserved.*Outflows include redemptions, distributions, capital repay-ments and other factors.

Zurich Hedge Fund Indices 2001July 2001 NAV MTD YTD High Low

Convertible Arbitrage Index 1436.05 0.83% 11.26% 1436.05 1290.67Hedged Equity Index 1844.59 -3.96% -8.95% 2079.77 1844.59Event Driven Index 1500.63 -0.02% 5.13% 1509.93 1427.37Distressed Securities Index 1393.77 0.69% 10.41% 1393.77 1262.37Merger Arbitrage Index 1528.52 1.00% 3.68% 1528.52 1474.22Data: Zurich Capital Markets © 2001. No claim to orig. US Govt works. All rights reserved.

49 SEPTEMBER 2001 RISK & REWARD

ZCM data: hedge funds

July 12-mth 36-mth 12-mth 36-mth 12-mth 36-mthReturn Return Return MAR MAR SHARPE SHARPE

ratio ratio ratio ratio

EVENT-DRIVEN FUNDREGAN PARTNERS 7.11 -37.54 -74.94 -0.61 -0.44 -1.00 -1.00GREENLIGHT CAPITAL 3.90 30.39 101.97 12.16 3.12 2.71 1.56ECF VALUE FUND 3.76 36.34 1.13 6.81 0.01 1.90 -1.00DICKSTEIN & CO 2.83 18.36 30.61 76.51 0.72 2.76 0.49DIAMOND A PARTNERS 2.80 -16.95 -19.77 -0.38 -0.10 -1.00 -1.00

GLOBAL MACROPEAK PARTNERS 8.29 45.32 59.62 5.94 1.39 1.77 0.72UBS CURRENCY PORTFOLIO 6.85 12.31 9.79 1.59 0.26 0.57 -1.00FRIEDBERG GLOBAL OPPORTUNITIES FUND 6.52 76.08 -28.03 3.59 -0.14 1.21 -1.00HERITAGE CAPITAL PARTNERS I 6.33 -23.79 -0.80 -1.00PIONEER GL MACRO 5.43

GLOBAL EMERGINGAVALON FUND 8.71 13.81 56.01 0.57 0.35 0.31 0.25GRAMERCY EMERGING MARKETS 5.80 12.65 5.29 0.94VR DISTRESSED ASSETS FUND 2.79 24.45 11.08 2.69THAMES RIVER HILLSIDE APEX FUND (A) 2.32 13.64 39.31 2.33 0.67 0.88 0.45EK GLOBAL HEDGE FUND 1.84 22.61 52.06 4.39 0.90 1.94 0.54

GLOBAL ESTABLISHEDPOLARIS PRIME FIVE 9.54 -65.78 -70.16 -0.85 -0.39 -1.00 -1.00KEYSTONE FUND 8.99 63.60 300.59 9.81 2.98 2.74 1.72KAHN CAPITAL PARTNERS 8.17 -21.17 465.10 -0.45 1.67 -1.00 1.20ZULAUF EUROPE FUND 7.20 31.54 65.58 3.37 1.37 1.26 0.70TRADEWINDS FUND 6.25 27.35 -21.74 4.19 -0.14 1.17 -1.00

GLOBAL INTLORBIS LEVERAGED {US} 6.79 156.40 155.79 57.93 1.08 5.30 1.09ORBIS LEVERAGED {EURO} 6.74 150.72 134.88 47.70 0.92 5.12 0.95ORBIS OPTIMAL {US} 4.65 59.68 88.13 52.82 1.38 4.72 1.42ORBIS OPTIMAL {EURO} 2.33 54.43 70.98 77.76 1.07 4.59 1.09MILLGATE PARTNERS 1.97 38.71 37.73 6.02 0.37 2.01 0.30MILLGATE INTL 1.97 38.61 37.65 6.02 0.37 2.01 0.30

MARKET NEUTRALSINGLETERRY MORTGAGE FUND 14.92 106.33 -25.19 14.98 -0.13 4.22 -1.00POLARIS PRIME SMALL CAP VALUE 9.89 -25.60 16.35 -0.46 0.08 -1.00 -1.00CONTRAVISORY EQUITY NEUTRAL FUND 9.80SKYE HEDGE FUND 8.20 19.13 1.57 0.67ABACUS CAPITAL FUND 7.70 80.90 6.48 2.79

SECTORORACLE OFFSHORE FUND (A) 7.56 19.77 217.92 0.62 1.40 0.37 0.90SONIC FUND I 4.60 31.91 2.40 1.04SAKS MEDSCIENCE FUND 4.09BRADFORD CAPITAL 3.35 3.20 52.86 0.40 1.90 -1.00 0.97GIR GLOBAL ADVANTAGE FUND 3.18 -9.03 -0.45 -1.00

SHORT-SELLERSARCAS FUND II (COVERED INTERESTS) 11.28 51.22 -8.88 2.56 -0.04 1.12 -1.00ARCAS INTL FUND (COVERED INTERESTS) 11.28 51.22 -8.88 2.56 -0.04 1.12 -1.00ARCAS COVERED FUND 9.51 61.07 -18.68 2.73 -0.09 1.22 -1.00ARCAS FUND II (ARCAS INTERESTS) 9.47 48.49 -26.39 2.27 -0.13 0.94 -1.00ARCAS INTL FUND (ARCAS INTERESTS) 9.47 48.49 -26.39 2.27 -0.13 0.94 -1.00

FUND OF FUNDSPRIME ADVISORS FUND LTD 6.42 2.93 110.33 0.26 2.51 -1.00 1.33OPTIMA SHORT FUND 3.81 29.73 14.11 2.62 0.12 0.93 -1.00CADOGAN CONTRA FUND 2.50 25.15 -10.08 3.67 -0.07 1.20 -1.00HIRST METASTRATEGY FUND (A) 2.24 16.12 100.00 3.73ALPSTAR FUND (D) {EURO} 1.91 9.97 48.57 5.28 3.97 0.84 1.71

© Zurich Capital Markets No claim to orig. U.S. Govt works. All rights reserved. Reproduction in any form without permission is forbidden. Reports are based oninformation and data supplied by the subjects of each report and from other sources and are believed to be accurate, but no guarantee of completeness or accuracyis made.

Top five funds by style ranked by one month returnending July 2001

50 SEPTEMBER 2001 RISK & REWARD

Survey: Cap Gemini Ernst & Young Asset Management Systems 2001

The Asset Management Systems Survey 2001 contains severalconclusions of major interest to hedge fund managers. Thestudy focuses on two broad groups – front-focused/ordermanagement systems, and those that have started at the backoffice and spread forward. Its major conclusion is thattraditional front office system’s greater functionality is offset bypoorer analysis around positions and portfolio impact. As aresult, the general conclusion is that a manager has to look long

and hard at who it is, and what it does, rather than simplypicking a system with the most points. The survey also askedwhat systems could handle risk management, in the form ofhistorical shocks and ‘r’ numbers. And it concludes thatstandards and protocols are important, with FIX complianceproviding an easier route to integration for automated fills,multiple prime brokerage and ECN links.AAvvaaiillaabbllee aatt wwwwww..ccggeeyy..ccoomm

1. Advent Office (Advent)2. Antares 2000 (SS&C Technologies)3. APOLLO Front Office (ACT Financial Systems)4. CRTS and ComplianceMaster (Charles River Development Ltd.)5. Decalog (SunGard Investment Management Systems)6. DIAGRAM Asset Management (DIAGRAM)7. Finance KIT (Trema Treasury Management)8. FMCModel / FMCTrade (Financial Models Corp)

9. GIM 2000 (Integrated Decision Systems)10. HiInvest (DST International Limited)11. MacGregor Financial Trading Platform (The MacGregor Group)12. Open Trader / PORTIA (Thomson Financial Software Solutions)13. Portfolio Trading System (Bloomberg)14. PreView (Thomson Financial)15. TMS 2000 (SimCorp)16. V3.Portfolio (SER Banking-Software Solutions GmbH)