Europe's Second Markets for Small Companies
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Transcript of Europe's Second Markets for Small Companies
1
Europe’s Second Markets for Small Companies
Silvio Vismara a∗
, Stefano Paleari a, Jay R. Ritter
b
November 8, 2011
Abstract
European stock exchanges have repeatedly opened second markets to list small companies. We
explain the motivation for the creation of these second markets, and why many of them have failed.
We find that the probability of being a takeover target is higher for second-market firms, and that
the average long-run performance of initial public offerings (IPOs) on second markets is
dramatically worse than for main market IPOs. However, the second markets have been successful
in providing firms with the opportunity to raise funds at the IPO and in follow-on offerings. The
relative success of London’s AIM, which is an exchange-regulated market with minimal
regulations, has led other European stock exchanges to establish similar non-EU regulated second
markets. Most of the IPOs on these exchange-regulated markets are offered exclusively to
institutional investors, and are equivalent to private placements. These IPOs, which frequently raise
only a few million euros, rarely develop liquid trading.
Keywords: stock exchanges, second markets, financial regulation, IPOs, AIM, London Stock
Exchange.
JEL classifications: G15, G30.
a Department of Economics and Technology Management and CCSE, University of Bergamo, Italy,
and University of Augsburg, Germany
b Warrington College of Business Administration, University of Florida, USA
* We like to thank Arif Khurshed, Meziane Lasfer, Erik Lehmann, Michele Meoli, Enrico Pellizzoni, Sheridan Titman,
a number of stock exchange officials, and seminar participants at the University of Bergamo, University of Augsburg,
and Chinese University of Hong Kong for helpful comments. Andrea Signori provided superb research assistance.
Contact author: [email protected].
2
1. Introduction
Most of the stock exchanges in Europe are organized in segments with a main market and one or
more second-tier markets dedicated to particular classes of firms. Historically, second markets in
Europe have been successful in hot periods and have collapsed in cold ones. In the US, Nasdaq has
not followed this pattern, at least partly due to its lack of ties with what had once been the main
market, the New York Stock Exchange (NYSE). In contrast, the American Stock Exchange
(Amex), now owned by NYSE Euronext, has faded into obscurity as an exchange on which
domestic operating companies want to list. The stock exchanges of the four largest European
economies (Germany, France, Italy, and the UK) have launched eleven second-tier markets
dedicated to particular categories of firms since 1995. Of these, only five still exist. In addition, in
the late 1990s, Nasdaq set up a European market, but failed to attract many listings. Many major
Asian countries also have second-tier markets aimed at small companies, including China’s
Shenzhen ChiNext and Hong Kong’s GEM.
This segmentation is puzzling from the perspective of the stock exchanges. In many cases, the
revenues from listing fees and trading commissions on small firms listed on second-tier markets are
lower than the cost of employees involved in their management, according to interviews with heads
of primary markets of European stock exchanges. The early listing of these stocks could be viewed
as a positive net present value strategy, however, if enough of these stocks grow and generate large
transaction fee revenues in the future, and if some of these successful companies would not have
subsequently listed on the same stock exchange without this early opportunity to do so. Listing such
small firms might benefit the stock exchanges in terms of providing opportunities for portfolio
diversification to their investors. Most importantly, however, a reason for setting up these markets
relies on their role in attracting firms that otherwise would not go public at the same stage of their
life cycle. These markets are indeed typically meant to meet the needs of small and young
companies that would not be eligible to list on the main markets.
With less stringent listing requirements, second markets have satisfied the appetite for new listings
of the stock exchanges. During 1995-2009, only 845 out of 3,755 IPOs in the four stock exchanges
in Europe that we focus on took place on main markets, with second tier markets accounting for the
remaining 2,910 IPOs. It is therefore of interest to take a firm’s perspective and study the motives
inducing a firm to go public on a second-tier market or to delist from a main market in order to
transfer to a second market.
3
We document empirical patterns in delisting rates and other measures of success and failure for
companies listed on main markets vs second markets. We find that the long-run performance of
second market IPOs has been very poor. In contrast with an average 3-year buy-and-hold abnormal
return (BHAR) of +12.3% for main market IPOs, the average 3-year BHAR of second market IPOs
has been -19.0%. In London, the difference in 3-year BHARs has been even larger: 25.3% for
Official List IPOs, and -27.5% for Alternative Investment Market (AIM) IPOs. However, the
second markets have been successful in providing firms with the opportunity to raise funds at the
IPO and in follow-on offerings. Surprisingly, there have been very few second market IPOs that
graduated to a main market. On the London Stock Exchange (LSE), the AIM has attracted 282
firms from the Official List, while ‘only’ 90 companies left the AIM for the main market.
Therefore, the net flow of companies switching markets has been very heavily towards the AIM.
All of the second markets existing in 2011 that we focus on are organized as exchange-regulated
markets, which in practice means that there are minimal regulatory requirements for the firms listed
on these markets provided that they have never conducted a public offer that individual investors
were eligible to purchase. Many of the IPOs are thus small offerings that are equivalent to a private
placement, with a limited liquid market developing.
In this paper, we (1) document the listing choices of 3,755 European IPOs during 1995-2009, (2)
describe the rise and fall of numerous secondary markets, (3) document the long-run abnormal
returns and delisting rates for main and second market IPOs, (4) analyze the choice of switching
between the Official List and the AIM of the LSE, and (5) provide some thoughts on the success
and failure of second markets.
2. The evolution of models of market segmentation
Historically, main board listing requirements have emphasized accounting thresholds, such as
minimum asset size or years of profitability. In the past twenty years, the listing standards for the
second markets have instead emphasized disclosure and corporate governance requirements. While
the London Stock Exchange has remained committed to a two-tier structure based on certain
minimum standards, stock exchanges in Continental Europe developed different models of
segmentation through time. We identify three models for such second markets: Sequential,
Sectorial, and Demand-side segmentation, as illustrated in Table 1.
[INSERT TABLE 1 HERE]
4
The first model of segmentation is a sequential one, with small companies expected to go public on
second-tier ‘seasoning’ markets and, in case of success, move later to the main market. The
regulatory regime of these markets is meant to provide small and medium-size enterprises with the
means to finance growth and to allow them to learn to experience life as a public company without
the full discipline of the main market of a national stock exchange. This type of second-tier market,
sometimes explicitly intended by the managing stock exchange as a “feeder” to the main market,
was common in the 1980s and 1990s (e.g., the Second Marché of the Paris Bourse, the Geregelter
Markt of Deutsche Börse, and the Mercato Ristretto of Borsa Italiana).
The second model of segmentation is a sectorial one and was successful in taking high-tech
companies public during the so-called internet bubble (1998-2000). This model applies to the ‘new
markets’ created in 1996-1999, with admission allowed only to companies in high-tech sectors. At
the end of the Nineties, these New Markets formed a pan-European network named Euro.NM with
a Markets Harmonization Agreement that established similar regulations. Its members were the
French Nouveau Marché, the German Neuer Markt, the Dutch Nieuwe Markt NMAX, EuroNM
Belgium, and the Italian Nuovo Mercato (later renamed MTax). In the UK, no independent new
market was launched, but a new market segment (techMark) was created grouping the companies
listed on the LSE operating in high-tech industries. Following the collapse of the internet bubble,
the new markets were disbanded.
The third and most successful model is a ‘demand-side’ segmentation. This is typically associated
with London’s popular Alternative Investment Market (AIM). These markets are not officially
regulated markets, as defined by the European Financial Services Directive. In particular, the main
effect of this categorization as “Exchange-regulated” (i.e., unregulated) is that the national listing
authorities (equivalent to the US Securities and Exchange Commission) are not required to approve
the prospectus when the listing does not involve a public offer1. Since inclusion on these markets
1 Under Part VI of the Financial Markets and Securities Act 2000, the UK Listing Authority (UKLA) has a legal
obligation to oversee the listing process, and to ensure that its rules are met. This duty requires the UKLA to review and
approve the prospectus or listing particulars for any security admitted to listing, thus being included in the Official List.
On the other hand, since the AIM is not a Recognized Investment Exchange, neither the UKLA nor the LSE are
required to approve the prospectus when the listing does not involve a public offer, relying on the company’s
Nominated Advisor (NomAd) to ensure compliance. This opportunity would have vanished with the introduction of the
EU Prospectus Directive in 2003, requiring any issuer admitted to trading on a regulated market to produce a UKLA-
approved prospectus. To preserve this different regulatory regime, the LSE changed the status of the AIM from
regulated market to “Exchange-regulated” market (a multilateral trading facility) in 2004. As compulsorily reported on
the front page of the Admission Document of companies listing on the AIM through a placing: “The rules of AIM are
5
does not constitute listing on an official market, the principal regulatory requirements for organized
markets do not apply to them and no publication of a prospectus is required if it is a “non-public”
offering intended for qualified institutional buyers, in which case a shorter admission document is
substituted.
This model of market organization, launched with the AIM in 1995, has been mentioned as a model
to be emulated by the other stock markets in Continental Europe when trying to (re)launch second-
tier markets such as the Alternext by Euronext, the Freiverkehr in Germany, or the MAC in Italy.
This type of exchange-regulated market is now the model adopted for the second markets by all of
the stock exchanges in Europe that we focus on.
3. The IPO market in Europe
In this paper, we analyze the population of all 3,755 IPOs that took place on the stock markets of
the four largest European economies in the period 1995-2009. Namely, for France we use the Paris
Bourse until 2004 and Euronext afterwards (including Belgian, Dutch, and Portuguese IPOs), for
Germany we use the Deutsche Börse, for Italy we use the Borsa Italiana, and for the UK we use the
London Stock Exchange. Our sources of data are described in the data appendix.
Table 2 categorizes the population of IPOs according to the stock exchange and to the market type
they choose. There is no strong competition for listings between the stock exchanges of the four
major economies in Europe. Or, at least, the home bias prevails over the possible benefits of listing
abroad. With the exception of the AIM, no other market has a significant number of IPOs by
foreign companies2. Also, the exception of the AIM does not involve any special attractiveness at
the expense of the other ‘mature’ stock markets of Continental Europe3. It is therefore not the case
less demanding than those of the Official List of the UK Listing Authority. It is emphasized that no application is being
made for admission of these securities to the Official List of the UK Listing Authority. Further, the London Stock
Exchange has not itself approved the contents of this document”. 2 We count only 36 companies from our sample countries that chose a foreign market for their IPO. These are mainly
Dutch companies that listed either on the German Neuer Markt during the first ‘hot’ period, or on the AIM during the
second ‘hot’ period. Similar minor exceptions involve Austrian and Swiss companies going public in Germany. 3 The AIM is the only European market that has been able to attract significant international attention. However, as
Doidge et al. (2009) demonstrate, it is incorrect to interpret the success of the AIM as evidence of a decline in the
attractiveness of US exchanges. Moreover, the foreign companies going public through IPOs on the AIM are mainly
from tax- haven British Territories such as Bermuda, British Virgin Islands, Guernsey, Isle of Man, Jersey, and the
Cayman Islands or in other countries with historical ties to Britain (Australia, Canada, Hong Kong, and USA) or Israel.
The contribution to the flow of IPOs on the AIM by any other country can be counted on the fingers of two hands.
6
that a secondary market in one country is perceived as a close substitute for another in a different
country. We deduce that the IPO market in Europe is a series of domestic markets4.
IPOs tend to cluster in time and in industry, with hot markets with many new issues followed by
cold markets with lower issuing activity5. Cycles in IPOs are particularly evident in second markets.
Different types of second markets have been launched and closed after a few years. As a whole,
however, their ability to attract new companies has been successful in hot periods and has rapidly
collapsed in cold ones, as shown in Figure 16.
There have been two ‘hot’ periods for IPOs during our 15-year sample period, each accounting for
almost one third of the IPOs. The first period (1998-2000) saw the success of the ‘new’ markets in
Continental Europe. The iconic market was the German Neuer Markt. Most of the firms going
public in Germany over the last fifteen years chose this market (304 IPOs out of a total of 603 IPOs
in Germany in the period 1995-2009), even though it was dedicated to tech stocks and only existed
for less than seven years. In the year of its launch (1997), 11 of 16 listed companies at the Neuer
Markt declared that the good image of the market was the main motive for a listing in this market
(Theissen, 1998). The Neuer Markt soon became very prestigious, and 282 companies went public
on this market during 1998-2000 (Table 2). Such numbers remain unmatched in the history of IPO
markets in continental Europe. With the collapse of the internet bubble, the value of the brand
“Neuer Markt” quickly became so negative that in 2002 only one company applied for a listing on
the Neuer Markt. That was the last IPO for the market before it closed in 2003.
4 For this reason, throughout the paper we consider country effects, but do not address the issues of international
attractiveness. We restrict the firm choice to the listing among different stock markets (i.e. secondary vs main market)
within the same national exchange. The aim is to identify the motives and the consequences of the choice of a second-
tier market. 5 Several theoretical models offer explanations for this phenomenon. Most of them imply a correlation between
corporate financial decisions and capital market prices. The basic idea is that financing decisions may be conditioned by
the intention to capitalize on temporary mispricings. Firms would raise capital when it is convenient, generally via the
issuance of overvalued securities. Whether this is corporate opportunism, compensation for risk, or simply good luck is
hard to prove (Baker, 2009). However, viewed as a whole, the evidence indicates that market valuations play a
nontrivial role in driving equity issues (Graham and Harvey, 2001; Baker and Wurgler, 2002) and, in particular, they
play an important role in the decision and timing to go public (Ritter and Welch, 2002). Ritter (2011) addresses the low
volume of IPOs this past decade in many developed countries and argues that it could be due to “a structural break
whose fundamental cause is attributable to some of the same global and technological forces that are the underlying
causes of changes in the distribution of income and wealth throughout the world”. Gao et al. (2011) identify the cause
of the structural shift as a decline in the relative profitability of small stand-alone companies compared to larger
organizations. 6 The number of IPOs on the main markets in our sample is on average 56 per year, varying between only 3 in 2009 to a
maximum of 108 in 2000. New markets have an average of 33 IPOs, but with no IPOs in most of the years. The number
of yearly IPOs in seasoning markets varies from 0 to 73, whereas on exchange-regulated markets the variation is from
16 to 353.
7
The second hot period (2004-2006), coincided with the emergence of exchange-regulated markets,
thanks to the success of the AIM. In practice, the IPOs on this type of market are often “non-public”
offerings distributed to qualified institutional buyers, and are equivalent to private placements. This
is the case for 1,572 pure private placings out of a total of 1,642 IPOs on the AIM7. Since 2005, 38
private placings have been used also by companies going public on the exchange-regulated markets
in continental Europe8.
[INSERT TABLE 2 AND FIGURE 1 HERE]
4. The choice to go public on second markets
4.1. Do firms going public on main vs second markets have different characteristics at the IPO?
In Table 3, we document that the characteristics of the firms going public on main markets are
different from that of the companies going public on second markets. First, companies on the main
markets are larger and older, as expected. However, there are some differences according to the
model of the second-tier market, with companies going public on seasoning markets being almost
as old as companies listing on the main markets. Among the second markets, new markets were the
ones associated with higher capital raising at the IPOs. Despite the limited size of their companies
(median pre-issue assets of 11.5m €), Panel A of Table 3 reports that the IPO proceeds were
substantial (28.6m € in median). As reported in Panel B of Table 3, such high proceeds at the IPO
are associated with a high level of underpricing (11.1% in median) and of valuations (Tobin’s Q of
3.32 in median)9.
7 The remaining 70 IPOs on the AIM are hybrid offers that required a prospectus, vetted and approved by the national
regulator. Until 1991, placings were allowed on the London Stock Exchange for offers raising up to £15 million, with
public offers being mandatory for larger issues. Following the Initial Public Offers Review in July 1990, the LSE
expanded the use of placings and in December 1993, the threshold was raised to £25 million. From January 1995, the
LSE allowed scientific research-based companies to choose freely between placings, public offers, and hybrids without
regard to offer size (Amendment 4). In January 1996, the LSE abolished restrictions on retail participation for all types
of issuers. 8 9 of these private placing IPOs are on the Italian market Expandi, which was a ‘seasoning’ EU-regulated market until
it was transformed into an exchange-regulated market in December 2007. 9 Tobin’s Q is measured as the ratio of the market value of assets to the book value of assets, where the market value is
calculated as the sum of the book value of assets and the market value at offer prices of common stock less the book
value of common stock. Industry specificity must, however, be taken into account as by definition the new markets
were dedicated to companies in high tech industries. This means that new markets’ IPOs are concentrated in a few high
Q industries. This assertion is supported by the average Industry Q, defined for each firm as the average Tobin’s Q of
the industry to which the firm belongs and is calculated annually for each 1-digit ICB industry (Industry Classification
Benchmark). New markets show higher Industry Q. Section 6 of this paper is dedicated to the relationship between
valuation differences and the number of IPOs in the following periods and, especially, to their distribution between
main and second markets.
8
Finally, we investigate the role of venture capital in taking the companies public. The main
evidence is that, at a single country level, despite their higher concentration in technology sectors,
companies going public on second markets are as often venture-backed as companies on the main
markets. In particular, exchange-regulated markets seem to be perceived as a valid alternative to
venture funding, allowing firms to not need mezzanine financing before listing. Some young firms
may view the access to these markets as a sort of ‘public venture market’ to finance their growth
projects, as an alternative to VC financing10
.
[INSERT TABLE 3 HERE]
4.2. Would firms going public on second-tier markets otherwise have remained private?
We wonder whether companies choose to go public on a second market or are obliged to in their
selection because they do not fulfill the more stringent listing criteria required by the main markets.
In other words, is going public on a second market a choice or an obligation?
Panel A of Table 4 shows that the admission criteria are similar at leading European stock
exchanges and are very similar to those that apply at most of the major stock exchanges around the
world. There are basically three ‘measurable’ requirements to have: (1) a record of audited financial
statements (3 years), (2) minimum market capitalization (from 700,000 £ on the Official List in
London to 50m € on the Eurolist) and (3) free float rules (25%)11
.
[INSERT TABLE 4 HERE]
In addition to the main markets, there are the ‘exchange-regulated’ markets. Their unregulated
nature, according to EU directives, makes them autonomous from the national listing authorities
(except in the case of a public offer). In terms of the time required for admission to these markets, it
is possible to create and list a new company within a few weeks. There are no rules regarding the
10
Of course, the extent of these patterns is largely dependent on country specificities. For instance, the proportion of
VC-backed IPOs is larger on the London Stock Exchange, whatever market is considered; whereas companies in Italy
are typically more mature when they decide to go public. 11 There are other ‘non-measurable’ requirements that can even be a more important barrier to entry. These involve
different levels of compliance and on-going obligations regarding disclosure and transparency.
9
minimum number of shareholders, unlike, for example, the New York Stock Exchange and
NASDAQ, which do not have percentage public float requirements.
We investigate whether companies going public on the exchange-regulated markets would meet the
listing requirements of the respective main markets. Specifically, in Panel B of Table 4 we estimate
the number of these companies that did not meet them. Out of 2,144 IPOs on exchange-regulated
markets in the period 1995-2009, we find that 1,511 companies (70.5% of the total) could not go
public on the respective main market. Only 603 IPOs on exchange-regulated markets fully satisfied
the listing criteria imposed by the main markets and opted for the exchange-regulated markets. We
find that 95% of the companies going public on exchange-regulated markets in France (i.e. Marché
Hors-cote, Marché Libre, and Alternext) and 100% of the companies in Italy going public on MAC
and AIM Italia did not fulfill the requirements of their main markets. In particular, size and free
float are the impeding requirements. Two-thirds of the companies that went public on the AIM in
London were not eligible for listing on the main market, mainly due to age constraints12
. This could
be related to the timing motivation leading to the listing. By contrast, only 44% of the German
companies that selected the exchange-regulated Freiverkehr Markt would not have been able to list
on the main market.
4.3. Do firms going public on main vs second markets perform differently in the aftermarket?
We investigate the performance of companies after their IPOs with reference to (1) stock price
performance, (2) liquidity, (3) survival profile, and (4) M&A deals and corporate control.
(1) Long-run stock price performance
Stock price performance is measured in terms of 3-year and 5-year Buy-and-Hold Abnormal
Returns (BHARs). These are calculated for stock i in time period T as follows:
1)1( delist) min(T,
1
,, −
+= ∏
=t
tiTi RBHR
∑ ∏∏= ==
+−
+=
N
i t
tM
t
tiT RRN
BHAR1
delist) min(T,
1
,
delist) min(T,
1
, )1()1(1
12
Age is measured in terms of years since incorporation. If age is measured since the creation of the company, the
measured age would be higher for some companies, as several companies incorporated only when they decided to go
public.
10
Ri,t is the return on stock i at time t, T is the time period for which BHR is to be determined, N is the
number of stocks in a portfolio, and Rm,t is the raw return of the FTSE Euromid index, excluding
dividends13
. The BHARs are biased upwards by approximately 3% since the benchmark return on
the FTSE Euromid index return does not include dividends.
[INSERT TABLE 5 HERE]
Using the same benchmark index for all the IPOs means that we are comparing asset classes with
different levels of risk. As a consequence, less risky companies, such as those going public on the
main markets, should show a better performance if the realized market risk premium is negative,
and worse performance if the realized market risk premium is positive. In Table 5, we report,
indeed, that on average, main market IPOs show an apparent over-performance relative to the
benchmark, whereas the most negative figures are for new markets’ companies. The 580 main
market IPOs from 1995 to 2006 have an average 3-year buy-and-hold abnormal return of 12.3%,
whereas the 2,305 total IPOs have an average BHAR of -11.2%, implying average second-market
abnormal performance of -19.0%. The difference in riskiness is unlikely to account for this large
difference of 31.3% in BHARs.
Table 5 also reports the long-run returns on IPOs by specific markets. Of note is the poor
performance of AIM IPOs relative to Official List IPOs on the London Stock Exchange. Official
List IPOs have a 3-year BHAR of 25.3%, whereas AIM IPOs have a 3-year BHAR of -27.5%.
Gerakos et al (2011) report similar numbers for the long-run returns in London, and also report
liquidity differences similar to what we report.
(2) Liquidity difference
13
Post-IPO returns are measured over a period of 36 and 60 “months”, defined as intervals of 21 trading days. The first
21 trading days after the IPO are excluded, as underwriter banks are sometimes still stabilizing prices during this period.
Thus, the BHR reflects the return an investor could earn without assuming that the investor was able to receive a share
allocation at the offer price. Returns include both capital gains and dividends. Min(T, delist) is the earlier of the last
month of trading or the end of the three-year or five-year window. Market transfers are not considered as delistings here
(e.g. if an IPO lists on a second market and then transfers to a main market after 1.6 years, the 3-year buy-and-hold
return on this stock is computed over 3 years).
11
Trading platforms involve both direct and indirect network effects in both trading and listing14
. As a
consequence, traders prefer to trade on a platform where there are many other active traders.
Similarly, if one of the benefits for the firms of being listed is the liquidity provided to their shares,
the more liquid is a market, the more attractive it is. We compare the liquidity of the companies
going public on the main vs second markets. We adopt two measures of liquidity. Bid-Ask Spread
is calculated as the average ratio of the ask minus bid spread divided by the midpoint of the bid and
ask prices, expressed as a percentage. Turnover is calculated as the average of the ratio of the
aggregate shares traded per day divided by the number of shares outstanding, and is also expressed
as a percentage. We expect larger spreads and lower turnovers for IPOs on the second markets.
Table 5 shows that lower spreads are found for main market companies, an average of 2.2% vs. the
average of 7.6% for second market IPOs15
. Liquidity levels, however, are different on the different
types of second markets, with new markets characterized by heavy trading volumes. The interest
raised by these high-tech companies during the internet bubble was indeed so high that they show
the highest average turnover. The exchange-regulated markets represent the other extreme, where
very high bid-ask spreads and low turnovers testify that the lack of liquidity is a problem for most
of the listed companies.
(3) Delisting rates
Second markets were once considered as ‘seasoning’ markets, allowing businesses to learn to
experience life as a public company without the full discipline of the main markets’ rules. To some
extent, this was the ‘curse’ of second-tier markets, whose successful companies were meant to leave
the second markets to list on the main ones, whereas unsuccessful companies were expected to
eventually delist. We investigate what occurred in practice, and find that delistings were not
particularly more common on second markets compared to main markets. Even more interestingly,
market transfers were very uncommon, with the exception of the switch from and to London’s
AIM. The peculiarities of delistings refer to country-specificities rather than specificities related to
the type of market, as shown in Table 5. Most of the companies that went public in London over the
last fifteen years have now gone private for either good or bad reasons (52.0%). The probability of
delisting is instead lower on the other exchanges, particularly in Germany (25.2%) and Italy
(27.1%).
14
Direct network effects exist when consumers value a product more, the more other consumers use the same product,
whereas indirect network effects exist when an increase in consumption by one set of users increases the value of a
complementary product to another distinct set of users. 15 If we calculate the turnover divided by the number of newly issued shares (instead of total share outstanding), the
average turnover of the main markets increases more than that of the second markets.
12
Figure 2 graphs the Kaplan-Meier estimator of the survival profile of IPOs, by listing market. The
lowest probability to survive is found for companies going public in London and on an exchange-
regulated market, whereas seasoning and new markets prove to provide more stable listings. This
survival pattern is also due, however, to the absence of seasoning and new markets in the UK,
where delistings are more common. The 60-month delisting rates are approximately 42% for
exchange-regulated markets and 20-28% for other markets. In the next subsection, a Cox regression
model is used to compare the survival profile of main vs second market IPOs, controlling for
country effects.
[INSERT FIGURE 2 HERE]
The interpretation of these results involves several factors. First, a higher survival profile of IPOs in
continental Europe than in London may be related to the nature of the companies that went public
(companies are bigger and older, see Table 3). More importantly, the difference in the rate of
delisting must also consider regulatory differences. Delistings are indeed more difficult and ‘costly’
in continental Europe, where they compulsorily involve a tender offer16
.
(4) M&A deals and the market for corporate control
Firms going public have a different probability of transferring control or delisting depending on the
market types. In particular, IPOs can be part of a larger process of transferring control rights, where
owner-managers of private firms use the IPO as part of a divestiture strategy (Brennan and Franks,
1997; Zingales, 1995). In order to identify potential acquirers and to increase a firm’s visibility,
shareholders of private firms could decide to use sequential divestitures through IPOs rather than
outright sales. The process of going public would therefore be responsive to adverse selection
problems by increasing the amount of information available on the firm (Reuer and Shen, 2003).
The IPO increases the level of a firm’s disclosure, and the consequent decrease in information
asymmetries may, in turn, increase the opportunities for equity deals. Thus, existing shareholders of
private firms can maximize their firm’s value by adopting the strategy of divesting after taking the
company public, rather than directly selling a still-private firm at a value limited by an illiquidity
16
The idea is that, by imposing an offer to purchase, minority shareholders of firms going private are to some extent
more protected from “leaving money on the table”, since they can at least recoup the residual value of the company.
This continental European tender offer requirement, though protecting minority shareholders, sometimes results in
companies remaining listed for long times, despite very few trades.
13
(lack-of-marketability) discount. This divesture strategy could be of interest in particular for taking
companies public on the second markets, where the listing fees are lower.
Finally, a company may decide to delist and transfer to another market17
. In contrast to London,
market transfers are definitely uncommon in continental Europe, as shown in the last column of
Table 5. In our sample, only 8 companies switched markets by March 2010, out of 1,670 IPOs in
France, Germany and Italy. Of prime importance for our research, there has also been a significant
flow of companies switching between the markets on the London Stock Exchange. Specifically, 282
companies left the LSE Official List to transfer to the AIM during 1995-March 2010, of which 36
went public in 1995 or later; during the same period, 90 firms switched from the AIM to the
Official List, of which 71 were IPOs in our sample. Of the latter, 8 IPO companies that transferred
to the Official List later came back to the AIM. Such bi-directional flow between the Official List
and the AIM points to complementarities in the appeal of the two markets. Section 5 of this paper is
dedicated to this issue and does not investigate the decision to go public, but that of transferring
between markets.
In Table 5, we report simple sorts. We now investigate whether being listed on a main vs second
market affects the probability of (1) being delisted, (2) being targeted in M&A deals, and (3)
transferring control. To this end, we implement Cox proportional hazard models, where the
dependent (failure) variable is equal to one if a company (1) was delisted after the IPO, (2) was a
target in at least one M&A attempt after the IPO, or (3) transferred control after the IPO, where a
transfer of control is identified when the equity sold to acquirers in an M&A deal reaches 50
percent. The time variable is equal to the time that elapses from the IPO to the event (delisting,
target M&A, control transfer). The independent variables include dummies for the market type
(main vs second market, as well as a single dummy for each market model) and the stock exchange.
We control for the effect of a number of firm characteristics, as the regressions control for (and test)
the influence of factors such as size (log of net sales in the year prior to the IPO, adjusted for
inflation), age (log one plus age at the IPO), leverage (debt over assets), profitability, Tobin’s Q,
VC-backing, and industry and year dummies.
We restrict the sample to firms that actually have a listing choice between the main and second
markets. Hence, we consider the 603 companies that went public on exchange-regulated markets
but could choose the main markets, as identified in Table 4 of Subsection 4.2. As for companies
17
In Table 5, market transfers are not considered as ‘real’ delistings, but accounted for separately in the last column.
14
listed on the main markets, we assume that big companies would not consider second markets as a
listing option. We thus put a maximum limit on the market capitalization at the IPO of 200m €,
adjusted for inflation; 512 of the 845 main market IPOs have smaller market cap. The restricted
sample is therefore composed of 1,115 companies, where the choice of market was not pre-
ordained18
. As shown in the bottom row of Table 6, 39.9% of these firms delisted before December
2010, and 54.3% were targeted in an M&A attempt.
[INSERT TABLE 6 HERE]
Table 6 reports the results of the Cox proportional hazard regressions. We find that going public on
a main market reduces the probability of being delisted, to be targeted in M&A deals, and to
transfer control (though the statistical significance is limited in the latter case). The negative
coefficient on profitability may be interpreted as evidence in support of the matching theory of
ownership change, with less efficient firms being more often the target of other companies
(Lichtenberg and Siegel, 1990). The negative coefficients on Tobin’s Q may point to a lower appeal
of firms with higher valuations. Finally, we find weak evidence of a positive correlation of VC-
backing with the probability of being acquired. The presence of VC in a company may be perceived
as a quality (certification) signal by a potential acquirer, improving the probability of the company
being a target for other firms.
In Tables 5 and 6, we have documented that firms going public on a second market have a higher
probability of delisting, but this does not demonstrate causality. In general, we are unable to address
the endogeneity of the listing choices of the sample companies.
4.4. Do firms going public on main vs second markets have different financing and investing
strategies?
A relevant aspect of the decision to go public is the ability to raise capital at the IPO and thereafter
through Seasoned Equity Offerings (SEOs), also known as follow-on offerings. At the IPO, a
primary offering of newly issued shares increases the number of shares outstanding and raises
18
The restricted sample is composed of 539 AIM companies, 44 Freiverker companies, and 20 companies listed on
Euronext’s exchange-regulated markets (we do not consider other regulated second markets such as the new markets),
plus 295 IPOs on the LSE Official List, 100 on the MTA of Borsa Italiana, 65 in the main market of the Deutsche
Börse, and 52 on the main markets of Euronext.
15
capital for the firm. As a preliminary investigation, we hypothesize that IPOs with a high fraction of
primary shares tend to be used to satisfy the need to raise capital for investment purposes, while the
needs to provide an exit for existing shareholders are more in line with offers of secondary shares.
Firms that are growing the fastest are likely to have the greatest demand for external capital.
Consistent with this logic, in Table 3 we showed that companies going public on the second market
typically offer a larger proportion of new shares over existing shares. This pattern may point to a
different perception of the role of the stock market that is coherent with the nature of the listing
firms. Younger and smaller firms need more external funds to finance their investments. Also, to
the degree that investors want a minimum market value of the free float, a small company will need
to sell a larger fraction to achieve this threshold. Furthermore, since there are fixed costs of going
public, a company that wants to sell a small number of shares will not find it optimal to go public
(see, e.g., Chemmanur and Fulghieri, 1999).
We test whether this higher propensity of second markets’ companies to raise fresh funds at the IPO
is continued in the aftermarket19
. Relatedly, we examine whether companies listed on main versus
second markets have different propensities to invest externally, i.e. to make acquisitions. We
therefore investigate whether capital raised at the IPO and in the post-IPO period are used to pursue
growth strategies through acquisitions. As shown in the bottom row of Table 7, 52.6% of these
1,115 issuers conducted at least one SEO, and 58.5% of the issuers made an acquisition attempt.
In Table 7, we use two Poisson regression models. First, to investigate the propensity of firms to
raise fresh capital after the IPO, the dependent variable is the number of equity issues pursued by a
firm after its floatation. Second, to investigate the determinants of acquisition propensities, the
dependent variable is the number of acquisitions pursued by a firm after its floatation. We use
Poisson regressions because the dependent variables are counts that have a minimum of zero. We
use the “restricted” sample of 1,115 firms that had a listing choice between the main and second
markets, and rely on the same control variables as in previous models (Section 4.3).
[INSERT TABLE 7 HERE]
19
The IPO market and the M&A market are indeed not as independent as often assumed. The fresh capital raised
through an IPO could make available the funds needed to fuel the firm’s external growth. Besides cash acquisitions, the
IPO may also facilitate stock deals, as the establishment of a market price and the creation of public shares allows stock
to be used as currency to buy other firms. Indeed, the prospects of future deals grow as the amount of uncertainty about
valuation for would-be-investors is reduced, since the IPO places a price on the firm (see Brau and Fawcett, 2006;
Bancel and Mittoo, 2009; Celikyurt et al., 2010; Bonardo et al., 2010; Hovakimian and Hutton, 2010; Brau et al., 2011;
and Hsieh et al., 2011).
16
To give an economic interpretation to a coefficient in a Poisson regression, the coefficient is
multiplied by the mean of the dependent variable, reported at the bottom of Table 7. We find that,
compared to IPOs on the second markets, companies going public on the main markets have no
significant difference in terms of the number of follow-on equity issues, but a higher propensity to
pursue acquisitions. UK IPO-firms are more active in the SEO market, while German firms tend to
take part more frequently in acquisitions. Firm size is positively related to the number of deals
undertaken as an acquirer. Large firms may be better able to realize efficiencies from the
internalization of assets or technologies from a target firm because they can apply these assets on a
sufficiently large scale (Maksimovic and Phillips, 2001). Interestingly, more profitable firms are
characterized by a lower frequency of raising equity after the IPO, probably because they have more
internal funds available. Companies with higher valuations at the IPO tend to be less active in the
aftermarket with the number of acquisitions decreasing by 3 deals per unit increase in the post-IPO
Tobin’s Q. Venture Capital backing is negatively related to the propensity to acquire, but positively
related (though slightly significantly) to the number of SEOs. The lower propensity to acquire by
VC-backed companies may have been due to the financial aims of venture capitalists, which
typically consider the IPO as an exit strategy (Black and Gilson, 1998) rather than a means to
finance growth.
5. The choice to delist from main markets to transfer to second markets
For a firm to choose to delist from one market and transfer to another one, the attractiveness of a
listing must have changed. The attractiveness of a listing to a firm can change because the bundle of
attributes of the listing location has changed or because the firm itself changed so that a different
bundle of attributes has become more attractive. We examine the motivations for companies
switching between markets with different regulatory regimes.
This analysis is related to the literature examining the costs and benefits associated with regulation.
While different authors (e.g. Mahoney and Mei, 2009; Greenstone et al., 2006; Coates, 2007; and
Leuz, 2007) arrive at different conclusions, in general this literature suggests that policymakers’
enthusiasm for tighter regulatory standards is not matched by unambiguous evidence that the
benefits outweigh the costs. Furthermore, some authors have recently cautioned that the optimal
17
amount of disclosure and reporting is likely to vary across firms (Bushee and Leuz, 2005; Iliev,
2010).
A number of empirical studies explore the reasons why firms switch between listing regimes and
how the switch affects their valuation and the liquidity of their shares. Harris et al. (2008) study the
companies that were forced to de-list from Nasdaq and then traded on the Pink Sheets. They find
that “trading down” to the Pink Sheets cost shareholders dearly. Macey et al. (2008) analyze
mandatory delistings, moving from the NYSE to the Pink Sheets due to breaches of listing
requirements. They find that the costs of delisting are generally high, with the stock price
considerably lower on the Pink Sheets than on the NYSE. Bid-ask-spreads and volatility also tend
to increase after delisting. Leuz et al. (2008) investigate the performance of companies that
voluntarily deregister their shares in the period 1998-2004 and thus cease to be subject to SEC
reporting requirements. They find evidence that firms that deregister tend to have weaker corporate
governance and worse prospects than firms that do not.
In this section, we investigate the motivation behind the decision to delist from one market in order
to transfer to another. As shown in Table 5, market transfers take place between the two markets of
the London Stock Exchange quite frequently, but are uncommon in continental Europe20
. We
therefore investigate the transfer decision with reference to the AIM and the official list in London.
Market transfer within the LSE has been very frequent, despite the two markets sharing the same
legal and trading systems.
Since its launch in June 1995, the AIM has attracted 282 firms from the Official List, while ‘only’
90 companies left the AIM for the main market, as shown in Figure 3. Therefore, perhaps
surprisingly, the net flow of companies switching markets has been very heavily towards AIM. In
particular, this trend reaches its top from 2001 to 2006, when 77% of the transfers occur, while it
shows a dramatic decrease in the last three years of our sample period21
. In the same period of great
attractiveness of the AIM (2001-2006), the Official List listed only 19 firms transferring from the
AIM, compared to 18 transfers in 2000.
20
Market transfers on the three continental stock exchanges are indeed extremely rare (less than 30 in fifteen years) and
market transfers from one country to another did not happen with reference to the four major stock exchanges under
investigation. 21
A possible motivation for this reduction in transfer from the Official List to the AIM after 2007 is the following: until
the end of 2006, the decision to switch between the two markets could be made by management. This was true also for
transfer from the Official List, where such decisions were not a matter upon which the listing rules required shareholder
approval. In 2007, the rules were changed so that firms switching from the main to the secondary market need to obtain
the approval of a majority of the shareholders before doing so.
18
[INSERT FIGURE 3 HERE]
5.1. What are the motivations behind the decision to transfer to second markets?
Companies transferring between markets issue an official document in which they sometimes
explain the motivations leading to the switching decision, especially when transferring to the
Official List. Table 8 summarizes these reasons. Firms transferring to the AIM often cite the lower
costs (31.7%), the flexibility (20.3%), and minor regulation (16.3%)22
. These reasons are all related
to the more flexible environment of the AIM and corroborated by Jenkinson and Ramadorai (2010),
who analyse the news released by switching firms and find the most common reason for
transferring to the AIM was “the burden imposed by the continuing obligations associated with the
listing rules of the Official List”23
. Besides differences on the listing requirements, there are
important differences regarding the ongoing obligations. For instance, in terms of disclosure
requirements, firms listed on the Official List have to comply with stringent requirements set out in
‘Listing, Disclosure, and Transparency Rules’, whereas no directives are given to AIM companies.
Other common motivations for transferring to the AIM are the possibility to grow (6.5%), and in
particular to pursue M&As (30.9%). For companies listed on the AIM, shareholder approval for a
merger or acquisition is required only if the transaction is at least equal to the value of the company
itself. Moreover, an announcement to the market of the transaction suffices for AIM companies
willing to pursue related party transactions, whereas even this would require shareholder approval
on the Official List.
22
Another motivation cited for transferring to the AIM relies on fiscal benefits (12.2% of our sample). Several tax
advantages are indeed in place in the UK related to investments in qualifying unquoted companies. In particular,
companies traded on AIM are regarded by the Inland Revenue as unquoted for this purpose. Tax reliefs available
include advantages for both individual investors (business asset taper relief and gift relief on the Capital Gains Tax
CGT, the Enterprise Investment Scheme EIS, the Inheritance tax IHT, the Relief for losses, and the Venture Capital
Trusts VCTs) and for corporate investors (Corporate Venturing Scheme CVS). An outline of the various tax reliefs
available to investors in AIM companies is reported on the website of the London Stock Exchange. 23
Leitterstorf et al. (2008) and Jenkinson and Ramadorai (2010) study the effects on stock prices of the announcements
of market transfer between the AIM and the Official List. Leitterstorf et al. (2008) find that firms that only announce a
transfer between markets do not experience any statistically or economically significant abnormal returns. On the
contrary, abnormal returns are found only for firms that announce equity issuance alongside their decision to transfer to
another market – positive returns for those switching from the AIM to the Official List and negative for those switching
the other way. They do not find any significant liquidity effect associated with transfers. Jenkinson and Ramadorai
(2010) find that companies moving from the AIM to the Official List experience positive announcement effects,
whereas companies switching the other way experience negative announcement effects. However, once these
companies actually start trading on AIM, average returns are strongly positive. In summary, firms switching to a lighter
regulatory regime tend to suffer negative return and liquidity effects around the announcement and/or movement date.
However, the price changes around the move to the lighter regulatory regime may reflect a signal about the prospects of
the firm rather than the effect of lighter disclosure regulation.
19
[INSERT TABLE 8 HERE]
5.2. Is the market transfer related to a change in governance of the firm?
The trading mechanisms used by AIM companies are identical to those used by listed companies on
the Official List. However, only firms on the Official List are required to be approved for listing by
the UK Listing Authority. These companies are subject to the Combined Code on Corporate
Governance, which is a code revised in 2003 as the UK’s response to the corporate scandals that
induced SOX and could be considered to be a regulatory cost-increasing change24
. On the other
hand, listing requirements on the AIM are minimal. Hence, we would expect that transfer onto the
Official List would be related to an increase in the level of mechanisms of corporate governance.
Vice versa, we would expect a decrease to be associated with the delisting from the main market for
transferring to the AIM, though these firms typically specify that they do not envisage alterations in
the standards of governance following the transfer.
To investigate the evolution in the mechanisms of corporate governance, we compare transferring
firms with a set of comparable companies that differ for the decision of staying on the same market.
The matching sample is based on companies listed on the AIM, as this is the reference market for
companies desiring more flexibility. For this matching, we start from the population of firms listed
on the AIM in the period 1995 - 2010 that do not belong to our sample of transferring firms, as
described in the data appendix. We use the nearest-neighbor propensity scores based on
independent characteristics considered important to the analysis (Dehejia and Wahba, 2002). We
estimate a logistic regression, where the predictive variables are firm size, age, and industry
dummies. In this way, we have a matched sample of 90 listed firms that do not transfer markets to
be compared to the sample of transferring firms25
. We refer to the sub-samples respectively as the
“matching sample” for companies that do not experience transfer, and the “transfer sample” for
companies that switch. After defining the structure of the new model, taking the same time
24 The Cadbury Report, published in 1992, included a ‘‘Code of Best Practice.’’ In 1998 the Hampel Report led to the
publication of the Combined Code of Corporate Governance (‘‘Combined Code’’). 25
To match treatment units with control units, we first estimate the propensity scores based on observable
characteristics in year 0, the year of transfer. Second, we separate the treatment group from the rest of the population
and sort the observations within each group from lowest to highest propensity score. Third, we discard any independent
companies with a propensity score outside the range exhibited by transfer firms (common support criterion). Fourth, we
group the remaining independent firms into “blocks” with similar propensity scores and perform balancing tests for
each predictive variable as well as the propensity scores themselves. These balancing tests are based on differences in
means t-tests between transferring and non transferring companies within each block. Finally, we rank the firms within
each block by propensity score and assign each treatment firm with its closest match from the control sample.
20
reference of the moving sample, we have collected the annual reports of the companies in the
matching sample. We have then investigated for each company of the two sub-samples five
variables affecting corporate governance policies: board size, the number and proportion of non-
executive directors, whether there is a split between the figures of CEO and Chairman, percentage
of non-executive chairman, and whether there is a non-executive chairman (Table 9).
[INSERT TABLE 9 HERE]
We find that firms transferring from the AIM to the Official List change their corporate governance
mechanisms in preparation for switching. Three years before the transfer, transferring firms are
similar to those of the matching sample. They both have, on average, boards of five to six members,
of which around 40% are non-executives. Having two separate individuals occupy the position of
chairman and CEO is pretty common (around 78%), with having a non executive chairman being
fairly common in both samples (61% matching vs 52% transfer). As time passes, however, the
difference between transferring and matching companies becomes more pronounced, and
companies take a different trajectory after the transfer. The number of board members and the
percentage of non-executives rises in firms that move to the Official List, while they remain almost
stable for non-transferring companies. In particular, it seems that companies add a director in
anticipation of the transfer. As soon as they join the main market, they also raise the
representativeness of non-executive directors and more often the chairman becomes a non-
executive. The different evolution in terms of the split between chairman and CEO is less evident.
On the other hand, companies moving from the main market to the AIM tend to decrease the level
of their corporate governance. Three years before the transfer, they have on average larger boards
than companies on the AIM. However, this difference soon disappears and the governance
mechanisms of companies joining the AIM from the main market become indistinguishable from
those of other AIM-listed firms26
.
6. Valuation and listing choices
26
After the transfer, transferring and already listed firms are similar in terms of governance. The only difference,
although statistically weak (10%), is actually in favor of the matching firms. The split between chairman and CEO
seems indeed to become less frequent in companies that joined the AIM from the main market than in other AIM-listed
firms.
21
One motivation for choosing between a main market listing and a second market listing is that there
might be valuation differences if capital markets are not perfectly integrated27
. By choosing to list
on a more regulated market, the company is expected to commit itself to better governance and
higher disclosure. Controlling shareholders therefore trade off the cost of improved investor
protection and market monitoring, which reduces their private benefits, against the opportunities
expected from the listing on a major market, such as financing growth opportunities on better terms
(Doidge et al., 2009). The superior regulation hypothesis predicts therefore that firms with higher
Tobin’s Q are more likely to list on main markets, both because firms with greater growth
opportunities want to, and because the commitment to greater regulation results in a higher Q. As a
result, we would expect that firms listed on the main market are worth more.
Offsetting this tendency, the lower requirements for listing on second markets allow companies to
more easily schedule their IPO in order to take advantage of “windows of opportunity”. These are
periods of market buoyancy during which other companies in the same industry tend to be
overvalued (or, alternatively, have their cash flows capitalized at a higher multiple). The immediate
reference is to the internet bubble, affecting upwardly the valuation of technology firms. New
markets provided an easy path to list firms, often with extremely high Q ratios, due also to their
limited pre-issue book value (Table 3).
Thus, valuation differences between markets may reflect the causal effect of different regulatory
requirements, or listing may reflect firms choosing to go public on a market where investors are
giving higher valuations. For instance, one of the reasons that a Chinese firm may decide to list in
Shanghai rather than Hong Kong or Singapore is that investors in Shanghai may be willing to pay a
higher price with less than perfectly integrated markets. Main market vs second market listings may
be affected by valuation differences, too. We explore whether the differences in valuation and
performance between Main Markets (MMs) vs Second Markets (SMs) IPOs affect the distribution
between MMs and SMs- of IPOs in the following periods.
Figure 4 reports the number of IPOs per year and their median Tobin’s Q (Tobin’s Q IPOs). This
median IPO valuation measure is compared to the median Tobin’s Q of listed firms for that year
(Tobin’s Q listed firms). The sample of listed firms is made of 7,067 firms present in Datastream
27
Lerner (1994) hypothesizes that private-market vs public-market valuation ratios vary through time, and the relative
valuations affect a biotech firm’s decision to go public vs using additional venture capital financing. The cross-listing
literature also recognizes that valuation differences affect a firm’s choice of whether to cross-list or not (i.e. Doidge et
al., 2009). Furthermore, the style investing literature (see Barberis and Shleifer, 2003) documents that firms that are
categorized as similar have a higher covariance once a categorization is made.
22
for the four stock exchanges (France, Germany, Italy, and the UK)28
. Inspection of Figure 4 shows a
positive correlation between the level of the market, as represented by Tobin’s Q, and IPO volumes.
In particular, differences in valuations between companies listed on main vs second markets are
correlated with the distribution of IPOs in the following periods. The two ‘hot’ periods with more
than 200 IPOs per year on the second markets (1998-2000 and 2004-2007) are preceded by years in
which there is an increase in the difference in median valuations between companies listed on main
and second markets.
[INSERT FIGURE 4 HERE]
7. Conclusions
In countries with sophisticated financial systems, there is usually more than one market for the
trading of securities, characterized by different regulatory requirements. Second markets have less
stringent listing requirements than main markets, and the vast majority of European IPOs during
1995-2009 have listed on these markets. Two of these second markets listed most of the firms going
public in their respective countries. The majority of the firms going public in Germany in this
period chose the Neuer Markt, even though it was dedicated to tech stocks and only existed for
seven years. In spite of minimal protection of minority shareholders, London’s AIM has succeeded
in attracting many listings, including both IPOs and transfers from the Official List. Most of the
IPOs on this exchange-regulated market are offered exclusively to institutional investors, and are
equivalent to private placements.
We find that the long-run performance of second-market IPOs in Europe is poor relative to main
market IPOs: 3-year buy-and-hold abnormal returns of +12.3% for main market IPOs, versus -
19.0% for second-market IPOs. Furthermore, this underperformance is present even when internet
bubble-period IPOs are excluded from the sample of IPOs during 1995-2006. Among the different
types of second markets, the long-run performance is the worst on the exchange-regulated markets,
such as AIM. One interpretation of this differential performance is that investors are insufficiently
skeptical about the returns that can be expected from firms going public on markets with lower
regulatory requirements.
28 In the selection, we included both listed (Datastream: Active) and unlisted firms (Datastream: Dead series). The
average value for each year refers only to firms that are listed at the end of the corresponding year.
23
We also find that, after controlling for the size and age of the listing company, IPOs that list on
second markets are more likely to be subsequently delisted or targeted by an acquiring firm. They
are also less prone to make acquisitions than main market-listed IPOs, and rarely develop liquid
trading. However, these markets have been successful in providing small firms with the opportunity
to raise funds at the IPO and in follow-on offerings, as more than half of their newly listed
companies are able to issue seasoned offerings.
Generally, the expectation is that successful companies listed on a second market will ‘graduate’,
and eventually move to the main market. This has almost never happened on the stock exchanges of
continental Europe. In London, this has occurred, but even more small cap firms on the Official List
have moved down to AIM, particularly in the period from 2001 to 2006. In general, second markets
have been particularly attractive to companies in hot periods, though rapidly collapsing in cold
ones. The two ‘hot’ periods with more than 200 IPOs per year on the second markets (1998-2000
and 2004-2007) were preceded by years in which there was an increase in the difference in median
valuations between companies listed on main and second markets.
24
Data appendix
A.1. The population of Initial Public Offerings.
Our main source of information is the EURIPO database (www.euripo.eu), managed by Universoft,
a spin-off of the University of Bergamo (Italy). It contains data and provides offering prospectuses
on more than 5,000 companies that went public in Europe since 1985. Based on these data, we
consider the population of all 3,755 companies that went public on the stock markets of the four
largest European economies (Germany, the UK, France, and Italy) during the period 1995-2009.
The list of Initial Public Offerings includes all and only those ‘real’ IPOs, i.e. those of operating
companies. As for Initial, we refer only to companies that had never been publicly listed before, on
whatever stock exchange. As for Offerings, we refer only to new listings raising money, regardless
of whether primary or secondary shares are being issued/sold. We therefore exclude introductions
(admissions with no initial offer, common on the AIM and on all the other second markets), re-
admissions, and market transfers, as well as listings of companies already listed on other stock
markets. IPOs of investment entities (such as investment trusts) are also excluded. Private
placements, however, are included if they are listed on an exchange (e.g., UK placings).
A.2 The population of firms that delist and transfer to another market.
Information on market transfers comes from the stock exchanges. In particular, for the sample of
companies listed on the London Stock Exchange that switched from the AIM to the Official List
and vice versa, we use data from the LSE directory ‘New Issue and IPO summary’, which classifies
all AIM admissions, and has done so from the time of the inception of AIM. Transfers from the
AIM to the Official List are traced with reference to the AIM Factsheets at the section “Cancellation
of admission”. AIM Factsheets are published monthly on the LSE website since 1995. The
motivation of transfer is deduced from the official transfer documents.
A.3 Firm information
We collect our information from issuing prospectuses, transfer documents, and annual reports. Data
are codified for all available years prior to the IPO (from prospectus information, which contains
mandatory information for at least three years before listing), as well as for all available years after
the IPO (from subsequent annual reports). Information such as the year and country of
incorporation of the firm, size of the offer and free float, or financial and business data comes from
25
the IPO prospectuses. Offer data have been cross-checked with Dealogic. For accounting data of
companies whose end of fiscal years is in a month different from December, we considered it
ending the following December. As for continental European firms, since 1999 most information is
reported in euros. For earlier years, we use monthly averages of the exchange rate between the ECU
and national currencies to obtain a euro-equivalent. For non-euro based companies, the exchange
rate for financial statement information is the average of the year, while for information related to
the offer (e.g. IPO proceeds), the exchange rate is as of the day of the IPO. The source of data on
exchange rates is Datastream. However, apart from descriptive statistics, financial data are
employed in panel regressions, where they are left in local currencies. The section dedicated to
market transfer refers to the London Stock Exchange. For that section, monetary figures are in
pounds sterling. Inflation-adjusted measures reported in Table 3 and used for selecting the sample
of Table 5 are in 2009 millions of Euros, using Purchasing Power Parities (EU27=1) by Eurostat.
The industry classification of each firm is defined by the four stock exchanges and is based on the
official classification adopted by the European stock exchanges, namely the ICB (Industry
Classification Benchmark).
A.4 Venture Capital
In order to identify venture capital financing we could not rely on a simple procedure and employed
a broad definition of VC financing. To be specific, we define venture capital firms as institutional
shareholders that focus on start-up financing, including bank subsidiaries. This information comes
from a detailed examination of the directors’ associations and ‘Other significant shareholders’
section of the prospectus, which are standard disclosure requirements in Europe. Such information
is not confined to the IPO year, but extends back in time, up to at least the three previous years.
Venture capital firms were identified from several sources including national associations, such as
the European Private Equity and Venture Capital Association (EVCA), British Venture Capital
Association (BVCA), Association Francaise des Investisseurs en Capital (AFIC), Bundesverband
Deutscher Kapitalbeteiligungsgesellschaften (BVK), Associazione italiana del private equity e
venture capital (AIFI), and National Venture Capital Association (NVCA). We also referred to
other directories, including Pratt’s Guide to Venture Capital Sources, and Venture Capital Resource
Directory. We also included Venture Capital Trusts (VCTs) that are managed by established VC
firms.
A.5 Share information
26
Offer prices are from offering prospectuses, when disclosed as fixed price offers, or from the
website of the stock exchanges. The first-day price for calculating underpricing was provided by the
stock exchanges. Stock prices, trading volumes, and bid-ask spreads are from Datastream, as is the
benchmark FTSE Euromid index. Information on delistings comes from directories of the stock
exchanges, cross-checked with Datastream, and is measured up to December 2010. The motivation
for delisting was deduced from official statistics provided by the stock exchanges, measured
through December 2010. A delisting is classified as ‘‘voluntary’’ if a firm is in compliance with an
exchange’s listing standards and voluntarily takes steps to delist its shares. A delisting is classified
as “imposed” when it is required by the Stock Exchanges in cases in which firms fail to meet their
listing requirements, when firms are bankrupt, in financial distress, or are undergoing some kind of
restructuring or liquidation. Firms are also delisted when they are acquired, and these cases are
classified as ‘”M&A”, for mergers and acquisitions.
A.6 M&As, SEOs and control transfer
Information on merger and acquisition (M&A) deals, seasoned equity offerings (SEOs) and other
capital raisings is from Thomson One Banker Deals, which in turn relies on other sources, such as
stock exchanges, trade publications, law firms, and investment bank surveys. This database
provides information on worldwide markets from publicly announced M&As involving both private
and public firms. Information has been gathered for companies going public in 1995-2009, with
SEOs and acquisitions attempts by the firm measured through March 2010. In line with other
authors (e.g. Bertrand and Zuniga, 2006), we keep all restructuring deals, composed of both
completed (78.6% of the deals of our sample firms) and pending (21.4%) deals. Thus, our sample
firms could be targeted in several M&A transactions, since with M&As we do not refer exclusively
to the combination of two companies to form a new company. The raw data were checked to
eliminate double counting of transactions. Deals are identified by the cut-off ownership levels for
mandatory disclosures required by national laws. In all the jurisdictions evaluated, there is a formal
obligation that required major shareholders to disclose their holdings in a company. The percentage
level at which such an obligation is triggered varies from country to country. France (Code de
Commerce, article L. 233-7) and Germany (Securities Acquisition and Take-over Act, sections 21
and 22) adopted 5% as a base level, as in the US, while Italy (Law No. 58 of 1998) and the UK
(Companies Act 1985 sections 198-212) were at 2% and 3%, respectively. To identify those
companies whose control was transferred in M&As, we summed the number of shares transacted in
27
M&A deals (where the firm was the target). The control transfer is assumed to take place when the
equity sold to acquirers reaches 50 percent.
A.7. Corporate governance
The source of information on the LSE-listed companies that did not transfer (i.e. the matching
sample) is the London Stock Exchange website. Data on size (net sales), age (since incorporation),
and industry are from Thomson One Banker and are used for the matching procedure. Data on
board structure for transferring and matching firms are from their financial statements or from their
IPO official documents.
We consider four variables of corporate governance: (1) ‘No. Directors’ is the size of the board of
directors; (2) ‘Non executive directors’ refers to the number and proportion of non-executive
members of the board of directors; (3) ‘Split’ is the proportion of companies that split the roles of
the Chairman and the CEO; (4) ‘Non executive chairman’ is the proportion of companies that
appointed a non-executive director as a chairman.
28
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31
Table 1. Evolution of the structure of European Stock Markets and models of segmentation
Panel A. Evolution in the structure of the European Stock Markets
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Paris Bourse / Euronext
main Premier Marché
Eurolist seasoning Second Marché
new
Nouveau Marché
Exch-reg Hors-c. Marché Libre Marché Libre / Alternext
Deutsche Börse
main Amtlicher Markt
seasoning Geregelter Markt
new
Neuer Markt
Exch-reg
Freiverkehr Markt
Borsa Italiana
main MTA
seasoning Mercato Ristretto Expandi
new
Nuovo Mercato Mtax
Exch-reg
MAC / AIM Italia
London Stock
Exchange
main Official List
new USM
new
(techMark)
Exch-reg AIM
Panel B. Models of market segmentation Model of segmentation and
market models Supply
(target firms) Demand
(target investors) Successful
period Markets
Sequential segmentation: seasoning markets
Size: SMEs
No restrictions Nineties Second Marché of Paris Bourse, Geregelter Markt of Deutsche Börse, Mercato Ristretto and Expandi of Borsa Italiana, USM of London Stock
Exchange
Sectorial segmentation: new markets
Industry: high-tech
No restrictions Internet Bubble
Nouveau Marché of Paris Bourse, Neuer Markt of Deutsche Börse, Nuovo Mercato / MTax of Borsa Italiana
Demand-side segmentation: Exchange-regulated markets
Age: young
Qualified institutional
buyers Zero years
Marché Hors-cote and Marché Libre of Paris Bourse, Alternext (and Marché Libre) of Euronext, Freiverkehr Markt of Deutsche Börse, MAC and
AIM Italia of Borsa Italiana, AIM of London Stock Exchange
32
Paris Bourse / Euronext. We use the French Paris Bourse until the creation of Euronext with the merger of the four stock exchanges of Belgium, France, the
Netherlands, and Portugal, where the first listing took place on January 27, 2005. Afterwards, we consider Euronext in its entirety. The French Premier Marché,
the Second Marché, the Nouveau Marché (where the first listing took place on March 20, 1996) merged into the newly created Eurolist on February 18, 2005. In
parallel, Euronext launched an Exchange-regulated market, named Alternext (first listing May 17, 2005). This market coexists with the precedent Marché Libre,
which replaced Marché Hors-cote in September 25, 1996.
Deutsche Börse. Traditionally, there have been two markets in Germany: the main (Amtlicher Markt) and the second market (Geregelter Markt), though the
difference between the two was less marked than in other European stock exchanges. On November 1, 2007, Geregelter Markt was absorbed by Amtlicher Markt
to create a single German EU-regulated market. The Freiverkehr Markt was launched as an Exchange-regulated market, with the first listing on June 21, 2005.
Previously, the new market dedicated to high-tech companies, the Neuer Markt (first listing on March 10, 1997; closed and switched to Geregelter Markt on June
5, 2003), established a record for the average annual number of IPOs for Continental Europe (304 IPOs during the 6.5 years of its existence).
Borsa Italiana. The main market in Italy is the Mercato Telematico Azionario (MTA). The second market dedicated to small-and-medium-sized enterprises
(SMEs) was the Mercato Ristretto until it was replaced by the Expandi market on December 1, 2003. The market dedicated to high-tech company was launched
on June 17, 1999 as Nuovo Mercato, and then labeled MTax in September 19, 2005. Both these markets were recently closed, with the listed companies
switching to the main market MTA (MTax on March 3, 2008; Expandi on June 22, 2009). The Exchange-regulated market Mercato Alternativo dei Capitali
(MAC) was launched with the first listing on July 18, 2007. Following the merger with the London Stock Exchange, the AIM Italia was also launched, with the
first listing on May 8, 2009.
London Stock Exchange. The London Stock Exchange is historically made of two markets: a main (Official List) and a second market. The Unlisted Securities
Market (USM) operated until December 1, 1996. Companies listed on the USM were then forced to join the newly created Alternative Investment Market (AIM),
whose first IPO took place on June 19, 1995. There has been no ‘new market’ in London, where the market segment techMark dedicated to high-tech companies
listed on both the Official List and the AIM has been active since 1999.
33
Table 2. The population of European IPOs over the last 15 years.
1995-1997
1998-2000
2001-2003
2004-2006
2007-2009
Total 1995-2009
Foreign companies
No. IPOs from other countries of the
sample
No. Private placings
No. % No. % No. %
Paris B./ Euronext
main 2 7 7 66 31 113 13.5 8 7.1 - - -
seasoning 69 101 11 5 0 186 22.2 3 1.6 1 - -
new 31 116 7 0 0 154 18.4 3 1.9 1 - -
Exch-reg 21 107 69 97 91 385 45.9 15 3.9 1 7 1.8
Total 123 331 94 168 122 838 22.3 29 3.5 3 7 0.8
Deutsche Börse
main 17 55 6 46 18 142 23.5 11 7.7 3 - -
seasoning 11 46 9 5 8 79 13.1 8 10.1 2 - -
new 11 282 11 0 0 304 50.4 36 11.8 8 - -
Exch-reg 0 0 0 44 34 78 12.9 10 12.8 1 13 16.7
Total 39 383 26 95 60 603 16.1 65 10.8 14 13 2.2
Borsa Italiana
main 33 48 22 27 17 147 64.2 1 0.7 - - -
seasoning 1 1 1 14 15 32 14.0 0 0.0 - 9 28.1
new 0 36 4 1 0 41 17.9 0 0.0 - - -
Exch-reg 0 0 0 0 9 9 3.9 1 11.1 - 9 100
Total 34 85 27 42 41 229 6.1 2 0.9 - 18 7.9
London S.E.
main 165 147 35 68 28 443 21.2 38 8.6 3 317 71.6
Exch-reg. 175 274 218 786 189 1,642 78.8 325 19.8 16 1,572 95.7
Total 340 421 253 854 217 2,085 55.5 363 17.4 19 1,889 90.6
Total 4 Exchanges
main 217 257 70 207 94 845 22.5 58 6.9 6 317 37.5
seasoning 81 148 21 24 23 297 7.9 11 3.7 3 9 3.0
new 42 434 22 1 0 499 13.3 39 7.8 9 - -
Exch-reg 196 381 287 927 323 2,114 56.3 351 16.6 18 1,601 75.7
second 319 963 330 952 346 2,910 77.5 401 13.8 30 1,610 42.9
Total 536 1,220 400 1,159 440 3,755 459 12.2 36 1,927 51.3
% 14.3 32.5 10.7 30.9 11.7 12.2
34
The table reports the number of Initial Public Offerings (IPOs) by stock exchange and by subperiod. Markets are classified according to the models summarized
in Table 1. The number of IPOs includes only those of operating companies. As for Initial, we refer only to companies that had never been publicly listed before,
on whatever stock exchange. As for Public, we do not require that public trading develops. As for Offerings, we refer only to new listings raising money,
regardless of whether primary or secondary shares are being issued/sold. We therefore exclude introductions (admissions with no initial offer, common on the
AIM and on all the other second markets), re-admissions, market transfers, as well as listings of companies already listed on other stock markets. IPOs of
investment entities (such as investment trusts) are also excluded. Private placements, however, are included if they are listed on an exchange (e.g., UK placings).
The number of private placings is reported in the last column.
The number of IPOs from countries of the sample is the number of companies from other countries of the sample (i.e. for London, the companies from Belgium,
Italy, France, Germany, the Netherlands, and Portugal) that did not go public in their home market.
35
Table 3. European firms at IPO, by listing market
Panel A: Firm characteristics and offer proceeds
Stock Exchange
Market model
VC-backed Age (years) Sales (m€) Assets (m€) Proceeds (m€)
% mean median mean median mean median mean median
Paris B. / Euronext
main 36.0 18.3 9 1,590.9 166.1 4,021.5 220.9 630.7 166.5
seasoning 36.8 17.1 12 80.6 35.4 63.8 26.8 13.2 7.2
new 38.7 7.8 6 16.0 10.4 15.1 8.5 18.8 11.1
Exch-reg 23.5 13.0 8 176.6 7.3 219.8 5.5 31.1 1.5
Total 31.0 13.4 9 316.5 13.7 660.2 11.2 105.7 6.3
Deutsche Börse
main 39.7 34.3 13 1,052.7 124.8 2,087.1 78.0 281.2 85.3
seasoning 29.2 17.1 9 31.5 15.0 24.9 17.5 38.0 21.2
new 48.7 11.0 8 61.2 14.5 50.7 12.5 64.3 37.6
Exch-reg 31.5 15.8 7 21.9 7.8 17.4 8.6 14.8 10.0
Total 42.6 17.2 9 285.7 18.5 522.6 16.3 105.5 37.2
Borsa Italiana
main 22.1 44.4 31 704.3 147.6 1,185.7 162.5 307.5 80.4
seasoning 22.7 22.4 16 56.8 33.0 96.8 35.6 29.0 18.0
new 35.9 9.8 8 62.0 22.5 39.7 22.4 109.7 43.2
Exch-reg 25.0 10.3 12 21.3 16.7 38.5 28.9 8.8 8.5
Total 24.9 37.6 24 472.0 88.0 783.3 93.5 221.4 52.2
London S.E.
main 65.7 8.8 4 509.5 41.1 451.6 30.1 193.1 64.8
Exch-reg. 61.9 6.6 2 26.9 5.3 24.5 5.4 14.6 6.9
Total 62.9 6.9 2 129.4 8.2 115.3 7.6 52.5 8.5
Total 4 Exchanges
main 49.0 28.6 13 779.3 80.6 1,331.5 68.1 286.3 76.5
seasoning 33.8 17.7 12 65.0 31.1 57.0 25.7 21.5 9.4
new 44.6 9.9 8 47.3 12.6 38.8 11.5 54.0 28.6
Exch-reg 51.5 8.2 4 53.2 6.5 59.0 5.7 17.4 5.5
second 48.5 9.5 6 53.4 9.9 55.3 8.5 24.1 9.8
36
Total 48.2 13.6 6 217.2 16.5 343.0 14.2 83.2 14.6
Main vs second Test difference
0.464 16.20 *** 14.52 *** 13.74
*** 10.26 ***
15.56 *** 12.73 ***
11.78 *** 19.17 ***
Panel B: Offer characteristics
Stock Exchange
Market model
Primary shares (%) Free float (%) Underpricing (%) Tobin's Q Industry Q
mean median mean median mean median mean median mean median
Paris B. / Euronext
main 23.0 16.5 29.2 25.0 5.3 3.4 1.84 1.54 2.79 2.59
seasoning 8.9 0.0 19.7 18.0 2.9 1.1 2.04 1.71 2.48 1.70
new 29.9 26.8 27.2 26.6 55.0 2.3 4.11 3.24 3.83 3.48
Exch-reg 7.6 0.0 14.1 10.0 7.3 3.9 3.29 2.13 3.00 2.50
Total 14.0 6.3 19.8 18.2 15.9 2.5 2.96 2.04 3.00 2.35
Deutsche Börse
main 32.4 29.4 27.0 28.3 9.6 2.5 2.56 2.03 2.73 2.32
seasoning 31.5 31.0 16.4 16.7 29.1 5.1 3.60 2.02 3.12 2.31
new 31.4 29.9 26.7 26.6 48.1 21.1 5.97 3.41 4.25 4.14
Exch-reg 34.6 31.5 23.4 23.1 3.0 1.4 3.72 2.27 2.90 2.50
Total 32.0 30.0 25.0 26.0 32.7 6.7 4.61 2.84 3.57 2.84
Borsa Italiana
main 23.3 22.1 31.2 31.9 9.7 3.1 1.77 1.52 2.28 1.70
seasoning 32.3 31.0 26.3 31.3 9.5 5.7 1.81 1.47 2.77 2.48
new 32.7 28.1 27.2 24.1 21.9 4.1 5.07 3.35 4.02 4.60
Exch-reg 35.4 17.1 25.0 16.7 20.8 10.0 1.90 1.91 2.35 2.41
Total 23.3 26.0 29.6 30.0 12.2 4.1 2.38 1.68 2.67 2.26
London S.E.
main 39.1 32.7 39.5 34.7 13.7 8.4 3.58 2.18 2.73 2.35
Exch-reg. 50.5 37.5 38.8 30.8 18.9 10.2 3.86 2.16 2.84 2.57
Total 48.1 36.3 39.0 31.4 17.8 10.0 3.80 2.16 2.82 2.54
Total 4 Exchanges
main 32.9 27.6 34.5 31.9 11.3 5.4 2.83 1.91 2.66 2.31
seasoning 15.1 11.3 19.5 18.8 10.2 1.2 2.40 1.72 2.67 1.99
new 31.0 28.5 26.9 26.4 47.9 11.1 5.32 3.32 4.10 4.04
37
Exch-reg 42.2 32.9 33.7 28.4 16.4 8.8 3.74 2.16 2.87 2.54
second 37.8 29.2 31.1 26.3 21.9 8.3 3.90 2.34 3.06 2.59
Total 36.7 28.9 31.8 23.8 19.5 7.5 3.64 2.22 2.97 2.54
Main vs second Test difference
- 3.87 *** -2.58 ***
3.85 *** 6.93 *** - 5.03
*** -5.90
*** - 4.29
*** -8.52 ***
- 6.67 ***
-7.27 ***
Age is measured as years since incorporation to IPO. Annual Sales and Assets are the last data published in the offering prospectus. Monetary figures are in 2009
millions of Euros, using Purchasing Power Parities (EU27=1) by Eurostat. All financial data before 1999 were converted into Euros. The exchange rate used for
companies based in non-euro countries is the average of the year of the IPO for accounting figures, while the exchange rate at the day of the IPO is used for the
Proceeds of London IPOs (source: Datastream). Proceeds do not include money from the exercise of overallotment options, as this information is not available
for all IPOs. Primary shares (%) is the average ratio of the number of newly issued shares over the number of pre-IPO shares, while free float is the ratio of the
number of shares offered at the IPO (including primary and secondary shares) over the number of shares outstanding after the IPO (i.e. pre-issue shares + primary
shares). Our definition of free float (also labeled public float) is different from that used by the stock exchanges in Europe, which consider as free float all the
share-ownerships lower than the cut-off ownership levels for mandatory disclosures required by national laws. Tobin’s Q is calculated as the ratio of the market
value of assets to the book value of assets, where the market value is calculated as the sum of the book value of assets and the market value of common stock less
the book value of common stock. Industry Q is the average Tobin’s Q of the industry to which a firm belongs and is calculated annually for each 1-digit ICB
industry (Industry Classification Benchmark). The tests compare firms going public on main vs second markets (second markets include seasoning, new and
exchange-regulated markets). The significance levels are based on t-statistics (mean), the Mann-Whitney U-test (rank), or a Z-test of equal proportions as
required. Significance levels are at 1% (***), 5% (**), or 10% (*).
38
Table 4. Going public on the second markets: Measurable listing requirements
This table reports the ‘measurable’ listing requirements for the main market and the exchange-regulated market of each exchange as of early 2011. The
requirements for listing on the main markets typically refer to (1) minimum free float at the IPO (we define free float as the ratio of the number of shares
offered at the IPO over the number of shares outstanding after the IPO), (2) minimum market capitalization at offer prices; and (3) minimum years of
financial statements prior to the IPO. We applied these requirements to the companies that went public on the second exchange-regulated markets and
calculated the number of companies that did not respect them (i.e. the number of companies that listed on an exchange-regulated market that could not go
public on the respective main market). a Waivable by the admission committee.
Country
France Germany Italy UK 4 exchanges Euro.NM US Main vs exchange-regulated market
Eurolist vs Alternext
Amtlicher vs Freiverkeher
MTA vs AIM Italia /MAC
Official List vs AIM
Main vs second
New markets
NYSE Nasdaq
Panel A: Listing requirements
1) Free float (Minimum percentage of shares in public hands)
25% vs None 25% vs None 25% vs None
25% vs None
20%
1,100,000 shares
500,000 shares
(2) Size (minimum market capitalization)
50 vs 2.5 m€ 1.25 m€ vs None
40 m€ vs None
700,000 £ vs None
5 m€
60 $ m free float
1 $m
3) Age (years of prior financial statements required)
3 vs 2 3 vs 1 3 vs 1 3 vs None
3 a
3 a 3 a
Panel B: Number of IPOs on the Exchange-regulated markets, 1995-2009
No. of IPOs on the Exchange regulated markets, 1995-2009
385 78 9 1,642 2,114
Failing to meet main market listing requirements due to: (1) Free float (% of the total) 283 (73.5%) 22 (28.2%) 7 (77.8%) 489 (29.8%) 801 (37.9%) (2) Size (% of the total) 345 (89.6%) 2 (2.6%) 5 (55.6%) 14 (0.9%) 366 (17.3%) (3) Age (% of the total) 40 (10.3%) 13 (16.7%) 1 (11.1%) 876 (53.3%) 930 (44.0%)
Not meeting listing requirements for at least one reason
365 (94.8%) 34 (43.6%) 9 (100%) 1,103 (67.2%) 1,511 (71.5%)
39
Table 5. Mean stock market performance and liquidity measures for European firms after the IPO, by listing market
Performance 3-year
Performance 5-year
Liquidity measures (%)
Delistings
Reasons (%) Market transfer
from (No.) No. BHR BHAR No. BHR BHAR
Bid-Ask
Turn-over No. %
Volun-tary Imposed M&A Unknown
Paris B. / Euronext
main 31 46.6 25.4 15 37.9 -9.3 1.1 4.5 - seasoning 169 56.7 34.3*** 164 33.2 15.6 3.1 11.1 85 45.7 0.0 3.5 1.2 95.3 -
new 135 -5.3 -11.6 135 -33.3 -58.8*** 2.7 12.4 70 45.5 0.0 5.7 0.0 94.3 1 Exch-reg 204 -8.5 -25.2*** 169 -4.4 -46.7*** 12.6 3.5 124 32.2 3.2 19.4 0.8 76.6 3
Total 539 15.9 -0.2 483 1.6 -27.7*** 7.1 7.1 298 35.6 1.3 10.4 1.0 87.2 4
Deutsche Börse
main 74 -17.6 -30.1*** 67 -6.5 -29.6** 2.1 2.6 32 22.5 0.0 0.0 0.0 100.0 - seasoning 57 -66.9 -69.7*** 55 -69.2 -90.7 3.5 10.0 23 29.1 0.0 4.3 0.0 95.7 1
new 285 -18.7 -11.1 284 -72.2 -91.9 2.7 15.0 97 31.9 10.3 3.1 0.0 86.6 2 Exch-reg 1 -37.2 -28.3 - - - 2.8 3.4 0 0.0 - - - - -
Total 417 -25.2 -22.5 406 -61.0 -81.4 2.7 10.5 152 25.2 6.6 2.6 0.0 90.8 3
Borsa Italiana
main 161 31.4 3.8 150 53.6 10.5 0.9 6.0 48 32.7 16.7 12.5 45.8 2.1 1 seasoning 4 36.7 -13.7 3 -3.8 -50.3 1.8 4.8 3 9.4 0.0 0.0 0.0 100.0 -
new 35 -71.7 -50.1 35 -70.2 -91.9 0.7 31.3 11 26.8 27.3 9.1 45.5 18.2 - Exch-reg - - - - - - 2.0 0.5 0 0.0 - - - - -
Total 200 16.1 -5.9* 188 29.5 -9.6 1.0 9.6 62 27.1 11.4 9.8 56.1 22.8 1
London S.E.
main 314 48.5 25.3** 277 39.3 12.9 3.0 9.7 237 53.5 10.5 6.3 47.7 35.4 36 Exch-reg. 835 3.9 -27.5*** 466 0.5 -45.7*** 9.0 4.1 848 51.6 21.5 19.6 30.4 28.5 71
Total 1,149 13.3 -13.1** 743 15.0 -23.9* 7.7 5.3 1,085 52.0 19.1 16.7 34.2 30.0 107
Total 4 Exchanges
main 580 35.2 12.3* 509 37.4 5.9 2.2 7.0 336 39.8 9.1 6.5 44.8 39.5 37 seasoning 230 25.6 7.7 222 7.4 -11.6 3.1 10.3 111 37.4 0.0 3.6 0.9 95.5 1
new 455 -18.8 -14.2 454 -60.5 -82.0 2.5 15.5 178 35.7 7.3 4.5 2.8 85.4 3 Exch-reg 1,040 1.4 -27.0*** 635 -0.8 -46.0*** 9.5 3.9 972 46.0 19.1 19.5 26.6 34.7 74 second 1,725 -0.7 -19.0 1,311 -20.1 -52.6*** 7.6 6.5 1,261 43.3 15.8 16.0 21.0 47.2 78
Total 2,305 8.3 -11.2 1,820 -4.0 -36.3 6.3 6.9 1,597 42.5 14.2 13.8 26.7 45.4 115
Main vs. second test difference
2.69
*** 2.45
***
5.65 ***
5.62 ***
-15.28
*** 1.86
**
-0.420
40
Buy-and-Hold Abnormal Returns (BHARs) are calculated for stock i in time period T as follows:
1)1( delist) min(T,
1
,, −
+= ∏
=t
tiTi RBHR
∑ ∏∏= ==
+−
+=
N
i t
tM
t
tiT RRN
BHAR1
delist) min(T,
1
,
delist) min(T,
1
, )1()1(1
Ri,t is the return on stock i at time t, T is the time period for which the buy-and-hold return (BHR) is calculated, N is the number of stocks in a portfolio, and Rm,t
is the raw return of the FTSE Euromid index, excluding dividends. Post-IPO returns are measured over a period of 36 and 60 “months”, defined as intervals of 21
trading days. The first 21 trading days after the IPO are excluded, as underwriter banks are sometimes stabilizing prices during this period. Hence, the time period
is actually from 22 days to 36 or 60 months after the IPO, so at most 35 or 59 months of returns are used. Min(T, delist) is the earlier of the last month of trading
or the end of the three-year of five-year window. Market transfers are not considered as delistings here (e.g. if an IPO lists on a second market and then transfers
to a main market after 1.6 years, the 3-year buy-and-hold return on this stock is computed over 3 years). Average BHRs and BHARs are reported. The difference
from zero of 3 and 5-year BHARs is tested based on the Lyon et al. (1999) test, that controls for skewness in the distribution of abnormal returns, and correcting
for new listing and rebalancing biases. A further adjustment (Jegadeesh and Karceski (2004)) is performed to correct for heteroskedasticity, serial correlation and
weights to differ across observations. Heteroskedasticity arises because the number of sample firms in each month varies, while serial correlation is caused by
contemporaneous returns. Liquidity is measured as bid-ask spreads and turnover relative to the first year of trading after the IPO (average values). Bid-Ask
Spread (%) is calculated as the average ratio of the Bid-Ask spread divided by the midpoint of the bid and ask prices using the closing bid and ask prices from
Datastream during months 2-13 after the IPO. Turnover is calculated as the average ratio of shares traded per day divided by the number of shares outstanding
(%). A delisting is classified as ‘‘voluntary’’ if a firm is in compliance with an exchange’s listing standards and voluntarily takes steps to delist its shares, and as
“imposed” when it is required by the Stock Exchanges in cases in which firms fail to meet their listing requirements, when firms are bankrupt, in financial
distress, or are undergoing some kind of restructuring or liquidation. Firms are also delisted when they are acquired, and these cases are classified as a ‘‘M&A’’.
Percentage of delistings are relative to the number of IPOs, while percentage of delisting reasons are relative to the number of delistings. Finally, a company may
decide to delist and transfer to another market (market transfers are not considered in delisting statistics). There were 78 transfers from second markets to main
markets and 37 vice versa (36 from LSE Official List to the AIM, and one from Italy’ main market to the new market Nuovo Mercato). 3-year BHARs are
calculated for IPOs from 1995 to 2006, while 5-year BHARs are calculated for IPOs from 1995 to 2004. Liquidity measures are for IPOs from 1995 to 2008.
Statistics on delistings include all of the sample of 3,755 IPOs and refer to delistings taking place up to December 2010. Market transfers are not considered as
delistings, but are reported separately in the last column (for Germany, the transfers when the Neuer Markt was disbanded are not included as transfers). Tests in
the last row compare firms going public on main vs second markets (second markets include seasoning, new and exchange-regulated markets). The significance
levels are based on t-statistics (mean), the Mann-Whitney U-test (rank), or a Z-test of equal proportions as required. Significance levels at 1% (***), 5% (**) or
10% (*).
41
Table 6. Cox proportional hazard regression on the probability to delist, be targeted in M&A deals, or transfer control.
Model a Delistings Targeted in M&As Transfer control
Main market dummy - 0.94*** - - 0.89** - - 0.68* -
Paris B. / Euronext - 0.03 - - 0.14 - - 0.21
Deutsche Börse - 0.23 - 0.59* - 0.22
London S.E. - 0.85*** - 0.76* - 0.48*
Control variables
Ln Sales -0.34 -0.46* -0.19 -0.29* -0.11 -0.26*
Ln (1 + Age) 0.12 0.11 0.15 0.02 0.20 0.20
Leverage 0.45 0.45* 0.21 0.24* 0.08 0.11
Profitability - 0.25 - 0.39 - 0.43* - 0.42* - 0.35* - 0.38*
Tobin’s Q - 0.12 - 0.56 - 0.54** - 0.82** - 0.22 - 0.48*
VC-backed -0.24 -0.46 0.14* 0.13 0.12* 0.11
Industry dummies Yes Yes Yes Yes Yes Yes
Year dummies Yes Yes Yes Yes Yes Yes
Log Pseudo Likelihood b
- 876*** - 836*** - 1,457*** - 1,342*** - 879*** - 892***
Firms involved in delistings or M&A deals
39.9% 445 firms 54.3% 605 firms 28.5% 318 firms
a z-Test for significance of the independent variables, based on robust standard errors.
b Wald χ2
-Test for significance of the regression.
*** 1% significance level; ** 5% significance level; * 10% significance level.
The regressions test whether being listed on a main vs second market affect the probability of (1) be delisted, (2) be targeted in M&A deals, both successful and
unsuccessful, and (3) transfer control. To this end, we implemented a Cox proportional hazard models, where the dependent (failure) variable was equal to one if
a company was (1) delisted after the IPO, (2) a target in at least one deal after the IPO, and (3) transferred control after the IPO. The time variable was equal to
the time that had elapsed from the IPO to the event (delisting, target M&A, control transfer). We restrict the sample to firms that actually have a listing choice
between the main and second market. Hence, we consider the 603 companies that went public on exchange-regulated markets but could choose the main markets.
As for companies listed on the main markets, we assume that big companies would not consider second markets as a listing option. We put a maximum limit on
the market capitalization at the IPO of 200 m€; 512 companies have a smaller market cap. The restricted sample is therefore composed of 1,115 companies going
public in 1995-2009, with seasoned equity offerings (SEOs) and acquisitions attempts by the firm measured through March 2010, and with delistings measured
until December 2010. Sales, leverage (%), and profitability (ROI %) are relative to the last data published in the offering prospectus; Tobin’s Q is measured at the
IPO, using the offer price and the post-issue book value of assets.
42
Table 7. Poisson regressions on the financing and investment behavior of European IPOs.
Model a Number of SEOs Number of acquisitions
Coeff. values Coeff. values Coeff. values Coeff. values
Main market dummy 0.34 0.72 - - 0.65** 2.25 - -
Paris B. / Euronext - - -0.18 -0.38 - - 0.15 0.52
Deutsche Börse - - -0.08 -0.17 - - 0.19* 0.40
London S.E. - - 0.56** 1.19 - - - 0.11 -0.23
Control variables
Ln Sales 0.22 0.47 0.35* 0.74 0.12* 0.42 0.18** 0.62
Ln (1 + Age) 0.18 0.38 0.17 0.36 -0.19 -0.66 -0.15* -0.52
Leverage 0.19 0.40 0.23 0.49 - 0.06 -0.21 -0.07 -0.24
Profitability -0.31* -0.66 -0.32* -0.68 - 0.16 -0.55 -0.36** -1.25
Tobin’s Q -0.21* -0.45 -0.23* -0.49 - 0.92*** -3.18 - 0.87** -3.01
VC-backed 0.41* 0.87 0.31 0.66 -0.29** -1.00 -0.31** -1.07
Industry dummies Yes Yes Yes Yes
Year dummies Yes Yes Yes Yes
Pseudo R 2 %
b 9.44*** 9.86*** 11.64*** 12.15***
Mean values of dependent variable 2.12 3.46
Firms involved in SEO or M&A deals 52.6% 586
firms
58.5% 663 firms
a z-Test for significance of the independent variables, based on robust standard errors. b
Wald χ2-Test for significance of the regression.
*** 1% significance level; ** 5% significance level; * 10% significance level.
The dependent variables are (1) the number of equity deals after the IPO and (2) the number of acquisitions pursued, with seasoned equity offerings (SEOs) and
acquisition attempts by the firm measured through March 2010. We restrict the sample to firms that actually have a listing choice between the main and second
market. Hence, we consider the 603 companies that went public on exchange-regulated markets but could choose the main markets. As for companies listed on
the main markets, we assume that big companies would not consider second markets as a listing option. We put a maximum limit on the market capitalization at
the IPO of 200 m€; 512 companies have a smaller market cap. The restricted sample is therefore composed of 1,115 companies going public in 1995-2009. Sales,
leverage, and profitability are relative to the last data published in the offering prospectus; Tobin’s Q is measured at the IPO, using the offer price and post-issue
shares outstanding, and the post-issue book value of assets. In the columns labeled “values”, coefficients of the regressions are multiplied by the mean of the
dependent variable. These values measure the effect on the dependent variable of a one-unit change in the explanatory variable.
43
Table 8. Motivations of transfers within the markets of the London Stock Exchange, 1996-2009
From Official List to AIM From AIM to Official List
No. % No. %
Lower Costs 39 31.7 0 0.0
M&A 38 30.9 5 8.2
Growth 35 28.5 9 14.8
Interest of shareholders 30 24.4 39 63.9
More flexibility 25 20.3 0 0.0
Less regulation 20 16.3 0 0.0
Fiscal benefits 15 12.2 0 0.0
Visibility & growth 8 6.5 22 36.1
Rules Required 2 1.6 0 0.0
Information on motivations for transfer is from the companies’ transfer documents, at the section entitled ‘background and reasons for transferring to AIM’, or
‘reasons for listing’. 123 out of the 282 firms transferring from the Official List to the AIM disclosed their motivations, with 202 separate motivations being
listed. 61 out of the 90 firms transferring from the AIM to the Official List disclosed their motivations, with 75 separate motivations being listed.
44
Table 9. Evolution of Corporate Governance characteristics around market transfer on the LSE, 1995-2009
No. directors Non-executive Directors
Year Sample No.
obs Mean Median
Mean (No) Mean (%) Split (%)
Non exe. chair (%)
AIM to OL 31 5.77 6 2.48 41.8 77.4 51.7
-3 OL to AIM 184 6.12** 6** 2.77** 45.0 67.4 44.6
Matching 23 5.30 5 2.13 39.5 78.3 60.9
AIM to OL 51 5.98 6 2.74 42.5 71.1 56.5*
-2 OL to AIM 195 5.89 6 2.69 45.3 64.1 43.9
Matching 40 5.68 5 2.65 45.3 77.5 65.0
AIM to OL 55 6.60** 7** 3.12 44.0 75.5 57.4
-1 OL to AIM 202 5.64 6 2.64 46.2 62.4* 48.5
Matching 58 5.91 6 2.90 47.7 77.6 53.4
AIM to OL 60 6.48** 6** 3.25* 49.3 75.9 56.9
0 OL to AIM 214 5.52 5 2.60 46.3 65.4* 44.4
Matching 67 5.82 5 2.75 46.3 71.1 50.7
AIM to OL 52 6.67*** 6*** 3.54*** 52.4* 80.0 68.6**
1 OL to AIM 199 5.48 5 2.63 47.7 64.8* 45.5
Matching 71 5.73 6 2.61 44.5 76.1 50.7
AIM to OL 38 6.68*** 6*** 3.45*** 52.0** 91.9 73.0***
2 OL to AIM 172 5.31 5 2.57 47.8* 66.8* 46.8
Matching 59 5.39 5 2.32 41.6 76.3 57.6
AIM to OL 30 6.58*** 7*** 3.58*** 54.4*** 97.7 76.7**
3 OL to AIM 107 5.17 5 2.44 46.3 71.0 46.7
Matching 26 5.04 5 2.08 40.3 76.9 50.0
The table compares the sample of firms transferring from the Alternative Investment Market (AIM) to the Official List (OL) and vice versa with a matched
sample of non-transferring firms listed on the AIM. We consider four variables: (1) No. Directors is the size of the board of directors; (2) ‘Non executive
directors’ refers to the number and proportion of non-executive members of the board of directors; (3) ‘Split’ is the proportion of companies that split the roles of
the Chairman and the CEO; (4) ‘Non executive chairman’ is the proportion of companies that appointed a non-executive director as a chairman. The tests are for
45
the difference between the transfer and the matching sample. Significance levels are based on t-statistics (mean), the Mann-Whitney U-test (which tests whether
the ranks are drawn from the same distribution, so if there is differential skewness, the ranks can be significantly different even if the medians are the same), or a
Z-test of equal proportions as required. Significance level at 1% (***), 5% (**) and 10% (*).
46
Figure 1. Number of European IPOs by year and by market type
Figure 1. IPOs from the UK, Germany, France, and Italy are included for all years. After Euronext was created on January 27, 2005 with the merger of the
Belgian, French, Dutch, and Portugese exchanges, all Euronext IPOs are included.
0
100
200
300
400
500
600
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Nu
mb
er
of
IPO
s
Number of European IPOs by year and by market type
Main Seasoning Sectorial Exchange-Regulated
47
Figure 2. Survival profile of European IPOs
Figure 2. Survival curves for IPOs by type of listing market and by listing stock exchange. Market transfers are not considered as delistings.
0.0
00.2
50.5
00.7
51.0
0
0 12 24 36 48 60 72 84 96 108 120
Time from IPO (months)
Main
Seasoning
Sectorial
Exchange-reg
Kaplan-Meier estimator
Survival profile by market model
0.0
00.2
50.5
00.7
51.0
0
0 12 24 36 48 60 72 84 96 108 120
Time from IPO (months)
Paris / Euronext
Deutsche Borse
London S.E.
Borsa Italiana
Kaplan-Meier estimator
Survival profile by stock exchange
48
Figure 3. Number of transfers within the markets of the London Stock Exchange, 1996-2009
Figure 3. Number of transfers between LSE Official List and AIM.
01
1213
18
7
42 2 2 2
1211
4
1
75
11
25
36
41
48
22
39
31
6
10
00
10
20
30
40
50
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Number of transfers between LSE Official List and AIM
90 transfer from AIM to Official List 282 transfer from Official List to AIM
50
Figure 4. This figure graphs the number of IPOs by year (histograms) and their median Tobin’s Q at listing (solid lines), distinguishing between main and second
markets. The dotted lines represent instead the median Tobin’s Q ratios of listed firms (main vs second markets listed firms). The median value for each year
refers only to firms that are listed at the end of the corresponding year. The sample of listed firms is made of 7,067 firms present in Datastream for the four stock
exchanges (France, Germany, Italy, the UK). Both listed (Datastream: Active) and unlisted firms (Datastream: Dead series) are included in the selection criteria.
Tobin’s Q is measured as the ratio of market value of assets to the book value of assets, where the market value is calculated as the sum of the book value of
assets and the market value of common stock less the book value of common stock (source of data for listed firms: Datastream). For IPOs, the market value is
measured at offer prices and the book value is post-IPO.