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Stock liquidity and second

blockholder as drivers of corporate

value: Evidence from Latin

America

Carlos Pombo

Rodrigo Taborda

No.

41

NOVIEMBRE DE 2015

Documentos

CEDE

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Serie Documentos Cede, 2015-41

ISSN 1657-7191 Edición electrónica.

Noviembre de 2015

© 2015, Universidad de los Andes, Facultad de Economía,

CEDE. Calle 19A No. 1 – 37 Este, Bloque W.

Bogotá, D. C., Colombia Teléfonos: 3394949- 3394999,

extensiones 2400, 2049, 3233

[email protected]

http://economia.uniandes.edu.co

Impreso en Colombia – Printed in Colombia

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Stock liquidity and second blockholder as drivers of corporate

value: Evidence from Latin America

Carlos Pombo

Rodrigo Taborda

Abstract

This paper examines the relationship between firm value and blockholders in Latin Amer-ica. Econometric results for a comprehensive data set of more than 550 firms listed in the six largest stock markets of the region support a positive effect of variables measuring the exis-tence, contestability, dispersion and identity of blockholder on performance (Tobin’s Q) only for highly liquid stocks. The identity of the second largest blockholder (family, foreign, finan-cial or the State) emerges as critical for such effects. The study supports the voice and exit approach as a disciplinary mechanism on firm performance.

JEL codes:G32, G34.

Key words:Blockholders, firm value, corporate governance.

We are grateful to Luis Guti´errez, for helpful comments to previous versions of this paper. Also to Mar´ıa

Camila de la Hoz helpful research assistance.

Universidad de los Andes. Facultad de administraci ´on. Calle 21 # 1 - 20. Bogot´a, Colombia. Phone

571-3394949 x. 3976, 3675. E-mail:[email protected]. Corresponding author.

Universidad de los Andes. Facultad de administraci ´on. Calle 21 # 1 - 20. Bogot´a, Colombia. E-mail:

[email protected].

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Liquidez y segundo accionista como determinates del valor de las

empresas: Evidencia en Latinoam´erica

Carlos Pombo

Rodrigo Taborda

Abstract

El documento estudia la relaci ´on entre valor de la firma y grupos de accionistas en Lati-noam´erica. Los resultados econom´etricos de una base de datos de mas de 550 empresas activas en los seis mercados accionarios m´as grandes de la regi ´on, sugieren un efecto positivo de las variables que miden la existencia, capacidad de reto al accionista mayoritario, dispersi ´on e identidad del grupo de accionista sobre la variable de desempe ˜no (Q de Tobin), pero solo para las acciones con mayor liquidez. La identidad del segundo accionista mas grande (familia, ex-tranjero, financiero o estatal) es igualmente importante para el efecto sugerido. Los resultados respaldan los mecanismos de voz y amenaza de salida, como herramientas de disciplina sobre el desempe ˜no de las firmas.

C ´odigos JEL:G32, G34.

Palabras clave:Grupos de accionistas, valor de la firma, gobierno corporativo.

Se agradecen los comentarios de Luis Guti´errez a versiones anteriores del documento. Igualmente a

Mar´ıa Camila de la Hoz por su trabajo de asistente de investigaci ´on.

Universidad de los Andes. Facultad de administraci ´on. Calle 21 # 1 - 20. Bogot´a, Colombia. Phone

571-3394949 x. 3976, 3675. E-mail:[email protected]. Autor para correspondencia.

Universidad de los Andes. Facultad de administraci ´on. Calle 21 # 1 - 20. Bogot´a, Colombia. E-mail:

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1 Introduction

Recent empirical literature on blockholder ownership has focused on the presence of multiple

large shareholders and their interactions, and how these can affect firm management either through

direct intervention (monitoring) or through share trading. Edmans(2013), for example, argues

that the presence of multiple blockholders creates two conflicting governance effects. In the first,

known as the voice mechanism or shareholder activism, multiple blockholders serve “as a

com-mitment device to reward or punish the manager ex-post for his actions”. By contesting

con-trol, blockholders can align interests to implement either profitable projects or simply to monitor

managers. The second effect, known as the exit mechanism, occurs in firms with multiple

block-holder structures and sees dispersed (and small) blockblock-holders punish the largest shareblock-holder, or

management, by exiting the firm, i.e. by trading their shares, thus affecting firm value. This

approach to corporate governance highlights that, by possessing better information about firm

value, smaller blockholders can use the exit strategy as a device to discipline the behavior of the

largest blockholder. On the one hand, when blockholders contest control, a positive effect on

monitoring appears, since the second or third blockholders are given more equal voting rights

in circumstances where, due to other mechanisms, they cannot exert absolute control. These

mechanisms may include the issuing of non-voting shares or multiple share classes, pyramidal

and cross-share ownership structures, or the existence of disproportionate board representation

(Villalonga and Amit,2010).

On the other hand, a negative effect of blockholder ownership may result from the

possibil-ity that small shareholders might be subject to expropriation by large shareholders, turning the

agency problem from one of controlling blocks to controlling minorities. In such circumstances

firm management responds to the interests of the controlling owners, reducing firm value when

large shareholders derive private benefits from related party transactions. In addition, excessive

monitoring by blockholders induces a loss of value, since management may refrain from certain

profitable initiatives when a vigilante approach is followed by large shareholders.

The paradigm of the benefits of a widespread ownership structure, mainly fostered by the

prevalent -though not precisely accurate- belief that the United States is characterized by diffuse

ownership, has led to increased academic interest in studying corporate governance in settings

where large shareholders dominated the landscape.1 At the same time, this has view defined a

policy agenda that favors increasing ownership dispersion in developing countries as a corporate

governance mechanism.

This perspective has evolved in line with the reality that blockholders have come to represent

the dominant ownership structure in corporate finance. Moshirian et al.(2014) summarize

ev-idence that shows how ownership by large shareholders is also a prevalent corporate structure

in developed countries. Under this new reality, whereby widespread ownership has come to be

1An example of the argument that ownership is widespread is provided by the work ofBecht(2001), whileHolderness

(2009) has been pivotal in debunking this view.

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used as a mechanism for increasing corporate governance and ultimately corporate value in

de-veloping countries, public policy is at a crossroads. Where to go? Should corporate governance

be increased or ownership structures disseminated? The former approach has been widely

ac-cepted and implemented in developing countries (McGee,2009). Whether or not such positive

initiatives exist in practice, beneficial effects on corporate value are not guaranteed. The latter

approach, on the other hand, cannot be warranted, as a policy interventions aimed at reducing

the concentration ownership are hardly an economic policy option.

The highly concentrated ownership structure of public and private firms in Latin America

provides a useful scenario for an empirical investigation of the association between firm value

and ownership in developing countries. Leaving aside the option of dispersed ownership or

tighter corporate governance laws or guidelines, the remaining question is how intermediate

ownership structures relate to firm value.

This paper examines the relationship between firm value and multiple blockholders from such

a standpoint. In particular, it looks at presence, contestability, distribution and type of

block-holder as they relate to market corporate value. Econometric results for a comprehensive data

set of more than 550 firms listed in the six largest stock markets of the region between 1997 and

2011 support a positive effect of variables measuring the existence, contestability, dispersion and

blockholder’s identity upon Tobin’s Q only for highly liquid stocks and three of the second

block-holder identities (family, foreign and financial institution). The study supports the validity of the

voice and exit approach as a disciplinary mechanism on firm performance and highlights the role

of liquidity and of the nature of the second largest blockholder in question.

The paper contributes to the literature by addressing empirically two analytical alternatives

that can shed light on approaches to increasing firm value under a setting of high ownership

con-centration in emerging markets. First, it emphasizes that blockholder contestability is effective

within an intermediate ownership structure of highly liquid stocks and, second, it provides

ev-idences that the nature of the second largest blockholder is central in explaining firm valuation.

Both options identify the potential benefits blockholders receive as a result of actions taken by the

second large shareholder. The above behavior deters other voting blocks from forming coalitions,

diverting the firm’s cash flow through bad quality investment projects or attempting to prevent

related party transactions.

Ownership structures in Latin America allows to hypothesize that the second blockholder is

crucial in this connection and that the situation described for the region might also elucidate the

case of other emerging markets. Nearly 50% of the firms in this study have a controlling

block-holder with equity rights above 50%, while less than 5% of firms are widely held (i.e. the largest

shareholder has less than 10% of equity). The remaining 45% of firms in the sample exhibit

mul-tiple blockholders without direct control, but that are still of considerable size (i.e. the largest

shareholder has more than 10% of equity), meaning that there is scope for forming controlling

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last group of firms shows (using the mean value) that when the largest voting block colludes with

the second largest, the coalition represents around 45% of direct votes, a figure that rises to 54%

when the third top blockholder is included. High ownership concentration implies low

sepa-ration ratios between ownership and control. Empirical country-level case studies on corporate

ownership in Latin America, based on real sector firms, show that separation ratios between

own-ership and control are close to 0.85 (Guti´errez and Pombo,2009). This means that a controlling

shareholder will need 42% of equity rights if they are to obtain control over a firm’s voting rights.

Thus, in targeting the empirical analysis on the role of blockholder coalitions and their effects on

firm value, measured by direct votes, is fully justified by the circumstances on the ground.2

The empirical approach of this article uses the available information to establish an

appro-priate association between ownership structure and firm value. A fixed effects transformation

for the panel data structure is favored over a random effects transformation. Several firm-level

control variables are included, as well as country macroeconomic characteristics. A high liquidity

dummy (shares in the top 75th percentile of liquidity of each country) is interacted with the

vari-able(s) of interest and the the average marginal effect is obtained. This is the baseline estimation

and the associated results hold for all our measures of presence, concentration, dispersion and

coalition of blockholders.3

Furthermore, the aforementioned interaction is expanded using a firm dummy variable

iden-tifying the second largest blockholders (family, local, foreign, financial institution and state).

Un-der this specification some of the second blockholUn-ders have a statistically significant effect on firm

value, meaning that these are the types of shareholders that reinforce the previous result.

The main result of the paper is the identification of a positive association between large

share-holders and firm value only in highly liquid stocks, in particular when family, foreign or financial

entities are the second blockholder. The approach used to examine blockholders goes beyond

presence or size, extending to the dispersion of shareholders and their ability to foster good

in-ternal corporate governance (contestability).

The remainder of the document is structured as follows: section 2 presents the theoretical

framework and development of the working hypotheses; section3 analyzes the data and

vari-ables included in the empirical model; section 4 presents the econometric analysis; Section 5

concludes.

2 Theoretical framework and hypotheses

2.1 The contest between blockholders for control

Theoretical models and empirical studies in corporate governance have addressed settings where

more than one large blockholder allows the emergence of contestability on the basis of coalitions.

2Indirect estimation of the wedge between ownership and control sets it at 0.75, similar to the results of direct

mea-surement. The indirect wedge indicator is defined as the Shapley value solution of a four-voting oceanic game to largest shareholder cash flow rights (Guedes and Loureiro,2006).

3Endogeneity is tested in favor of the initial estimation results that support the main findings.

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Two competing views have been proposed. The first refers to the positive effect of blockholder

presence, due to their monitoring role and the second to the benefits of control when large groups

of shareholders form coalitions in order to conduct tunneling strategies that enable them to divert

a firm’s cash flow.

Regarding the first view,Bloch and Hege(2003) analyzed a firm’s governance framework in

which two large blockholders and the remaining dispersed shareholders interact in the

sharehold-ers’ general meeting. The authors show that control contestability between two blockholders that

are seeking to attract the votes of small shareholders tends to reduce rent extraction. Bennedsen

and Wolfenzon (2000) developed a model of firm control where firm founders dilute their

(ini-tial) control by distributing proportional equity holdings to several large shareholders, allowing

them to form a coalition, through which, in turn, they can obtain control and curb private benefit

extraction. Gomes and Novaes(2005) model corporate governance according to two scenarios.

The first occurs when insiders, or the initial founders of a firm, face investment opportunities that

are difficult to evaluate to the extent that sharing control creates bargaining problems. As a

re-sult, ownership structures in which there is only one large shareholder monitoring management

represent the most efficient system for protecting minority shareholders. However,Gomes and

Novaesalso found that in weak legal environments, the optimal ownership structure involves

shared control between multiple blockholders. In these circumstances, the presence of multiple

blockholders is positively associated with firm value.

The second view concerns the benefits of control that accrue when large groups of

share-holders form coalitions in order to conduct tunneling strategies that enable them to divert cash

flow. Zwiebel(1995) argues that investors may choose to hold a significant block equity in a

firm because it confers them partial benefits of control, especially in those cases where the next

blockholder is insufficiently large and they feel the need to form a coalition.

The theoretical model of control contestability had its origins inLa-Porta et al.(2002), who

modeled managerial rent extraction, and inMaury and Pajuste(2005), who extended the baseline

model to reveal contestability behavior more explicitly among multiple large shareholders. The

model has two main assumptions: the existence of multiple large shareholders can reduce profit

diversion (i.e., that control contestability is value-enhancing), and diversion of profits by the

con-trolling coalition is costly. The theoretical work ofLa-Porta et al.andMaury and Pajustesupports

the first two hypotheses of this paper:

H1: Firm value (performance) increases with blockholder presence and higher power

con-testability.

H2: The higher the probability of forming a controlling coalition among the largest

sharehold-ers increases, more likely will be rent divsharehold-ersion to the benefit of the coalition, lowering firm value

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2.2 The role of the second blockholder

Empirical research on corporate governance suggests that the type of controlling shareholder

present in a given company is essential to understanding the link between ownership structure,

agency costs and firm value. Claessens et al.(2002) find that the expropriation of minority

share-holders is more likely when the largest controlling shareholder is a family or the state. The

un-derlying assumption is that different types of blockholders have distinct incentives and abilities

to monitor the controlling shareholder. Empirical results from regional or country case studies

on the marginal effects of blockholder identity and firm value confirm that the kind of second

blockholder is important when it comes to contesting the agency costs of controlling owners. For

instance,Jara-Bertin et al.(2008), based on sample of 1,200 European corporations, find that such

firms where the two largest shareholders can be classified as “family shareholders” firm value

de-creases. Similarly,Attig et al.(2009) who studied a sample of 1,252 East Asian public companies

found that the presence of either a family or the state as second largest shareholder represents a

value premium of between 0.23 and 0.96 on firms Tobin’s Q. In contrast, there is no significant

effect if the second blockholder is a widely held firm.

Recent research on family firms has focused on analyzing the effects of the presence of

mul-tiple large shareholders on firm value. In two related works on family listed firms in Spain,

Sacrist´an-Navarro et al.(2011) andSacrist´an-Navarro et al.(2015) found that there is a premium

of 3.5% on a firm’s Return on Assets (ROA) when a it has a second blockholder.

Research on the role of institutional investors, mainly from developed capital markets, shows

a consistent positive effect of the presence of this type of investors on firm governance, efficiency

and performance. Moreover, it is expected that independent institutional owners (e.g.

invest-ment firms or banks) are more prone to behave as investors with high levels of control and to

act as management watchdogs because of their low monitoring costs and their capacity to collect

information and implement risk management protocols. Such investors have less natural

poten-tial for developing business relations with the corporations (Almazan et al.,2005). International

evidence shows that the premium for the presence of institutional ownership is 0.12 on the

To-bin’s Q ratio of a firm (Ferreira and Matos,2008). Recent studies for Latin America find there is a

premium of 0.08 (De-La-Hoz and Pombo,2015). These conceptual elements and findings support

the third hypothesis of this study:

H3: The presence of an independent second blockholder enhances firm performance.

2.3 The role of market liquidity and the blockholder voice mechanism

The approach under which blockholder contest acts as an internal governance mechanisms lies

on the assumption of deep and working financial markets. Within the Latin American business

environment, the issue of liquidity is of particular interest, as it is for other emerging markets,

since financial markets are not precisely widespread and on the contrary high concentration of

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relatively few firms take part. Tracing back the inner logic of corporate governance and financial

performance, this relationship becomes meaningful in well-functioning and healthy stock

mar-kets. Disregarding the direction of causality, good corporate governance practices are supposed

to work in developed markets, in which firms adjust their behavior based on prices set by the

market.

Stock market development, liquidity and corporate behavior have been examined by several

authors. The existing evidence supports the argument that high liquidity provides the incentives

blockholders require to monitor firm performance either explicitly or implicitly. An early study

(Falkenstein,1996) suggested that investors (in particular mutual funds) prefer to invest in stocks

with high visibility and low transaction costs. One of the arguments used to explain this behavior

is that traders will choose stocks with high levels of visibility in the press and also those that have

been listed for a long time.

There is a well-grounded theoretical approach supporting the association between market

liq-uidity and firm performance. A liquid stock market provides an opportunity for non-shareholders

to become shareholders, encourages management compensation, reduces managerial opportunism

and promotes investment. The most important result ofFang et al.(2009) investigation of stock

liquidity and firm performance is that firms with liquid stocks perform better in the market. The

mechanism by which liquidity increases performance involves improved information on market

prices and managerial compensation. The hypothesis advanced by Fang et al. is particularly

powerful for industries with high levels of business uncertainty. Chung et al.(2010) find that

firms with better corporate governance typically display better financial performance. However,

causality runs from corporate governance to higher liquidity. This result suggests that firms

alle-viate trading issues (liquidity) by improving their corporate governance record. The mechanism

provided for such a dynamic is the improvement of financial and operational transparency, which

decreases information asymmetries between current and outside investors.

Roosenboom et al.(2014) works according to the hypothesis that stock liquidity weakens the

incentives of firms to monitor management. Here, a seldom traded stock with poor market

re-views faces lower returns once it becomes the subject of a takeover bid from another firm. The

threat of disciplinary trading is weaker in these cases, CEO turnover is higher, and markets reduce

firm value. Ultimately, market liquidity becomes a monitoring device that signals the underlying

relationship between ownership and performance. Liquidity empowers blockholders to employ

an exit strategy in response to careless management that threatens shareholders and market’s

view of the firm’s sustainability. Roosenboom et al.’s empirical results suggest that lower

liquid-ity is associated with withdrawal from takeover bids that would trigger negative announcements,

higher CEO turnover and lower premiums. There is no evidence of an association between lower

liquidity and increasing performance. These results are in line with the active role of intervention

by institutional investors in monitoring management when low liquidity hinders exit.

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posi-tive effect of stock liquidity on blockholder governance. Liquidity and blockholder formation are

linked, the latter is favored by high liquidity, while the former increases the likelihood of

block-holders governing through voice and exit. Ultimately, in these circumstances, firm performance

increases.Chung et al.(2010) show that liquidity induces activism from blockholders, improving

the firm’s market performance. That is, regardless of how costly activism may be, these authors

find positive payoffs from activism when firms are recurrently traded.

Stock turnover in Latin America is structurally low. For instance, between 2000 and 2012

median stock turnover for all companies included in the S&P Latin America Index was below 20

basis points. Over the same period stock turnover in representative companies in the S&P 500

was 150 basis points. The aforementioned theoretical elements and figures for the structure of

financial markets in the region support the idea that the threat of blockholder exit and hostile

takeover are not credible strategies in the case of Latin America. This leads to the next working

hypothesis:

H4. Blockholder contestability, and the positive effect upon firm performance, becomes

feasi-ble in developing capital markets for firms with highly liquid stocks.

The following sections describes the data, outlines the empirical design of the study and

ana-lyze the econometric results.

3 Data

3.1 Sources and data characteristics

This study uses an unbalanced panel of more than 550 non-financial firms and 6,785 firm-year

data points from six Latin American countries (Argentina, Brazil, Chile, Colombia, M´exico and

Per ´u) for the period 1997 to 2011 (15 years). The main source of the dataset was Thomson’s

Datastream platform of financial information (Thomson Reuters Datastream,2012); Worldscope

platform was used to gather information on shareholding records. Other primary sources

com-prised databases of financial regulators in each country sampled, as well as the annual reports of

each firm. In particular, the shareholder signatures for Chile, Colombia Per ´u and Brazil were

ob-tained from the Economatica database and the respective local regulatory agencies.4 Ownership

information for Mexico and Argentina was also compiled using: i) U.S. Securities and Exchange

Commission form 20F for cross-listed companies and, ii) annual reports compiled by the Mexican

stock exchange. Table1(Panel A) summarizes the construction of the sample and its

representa-tiveness. The data extraction began with 4,809 firms. After removing non-active firms and those

for which no financial information or equity instruments were available, the number of firms fell

to 558. The sample is representative because the selected firms imply more than 40% of total

corporate market capitalization reported by the World Bank for each country (Panel B).

4Superintendencia de Valores y Seguros (Chile), Superintendencia del Mercado de Valores (Peru), Comissao de

Val-ores Mobiliarios (Brazil), Superintendencia Financiera (Colombia), Comisi ´on Nacional Bancaria y de ValVal-ores (Mexico), and Comisi ´on Nacional de Valores (Argentina).

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Table1here.

Firms are gathered into three broad ownership brackets. Firms whose largest blockholder

owns more than 50% of the stocks, are named “Firms with absolute control”, while firms whose

largest blockholder holds fewer than 10% of stocks are termed “Widely held firms”. Those in

between, whose largest shareholder owns between 50% and 10% of the stocks are named “Firms

with multiple blockholders”. This breakdown fits well into the purpose of the study, reflecting

the highly concentrated ownership among first shareholders, as previously reported in Chong

and Lopez-de-Silanes(2005).

Table2summarizes the sample distribution according to the structure of blockholders. On

average, firms with multiple blockholders –that is, whose largest shareholder holds more than

10% and less than 50% of equity rights– make up about half the sample. In most of the remaining

firms, at least 50% of company equity is controlled by a single shareholder. Around 13 companies,

or 3% of the sample, are widely held. Colombia is the only country in which widely held firms

account for more than 5% of the sample. This ownership distribution is similar to that reported

byLaeven and Levinein their study of 1,657 European firms, confirming that multiple

blockhold-ers without absolute control and high ownblockhold-ership concentration are common across large capital

markets.

Table2here.

Table3shows the distribution within the sample of the first and second largest shareholders

by firm ownership structure and blockholder identity. Panel A shows the number of firm-year

observations. Two aspects should be mentioned in relation to these figures. First, local firms,

whether limited liability or incorporated, are the main source of large shareholders, followed by

firms owned by families or by financial institutions. The state is the last source of blockholders.

Second, these figures might seem to contradict the findings of previous studies on ownership

and control in Latin America, this is, that families are the first source of large and/or controlling

shareholders (Porta et al.,1998;Claessens et al.,2002;Faccio and Lang,2002). This phenomenon

may be explained by cases where families use (country specific) alternative legal structures that

are not observable in the information collected, resulting in an underestimation of the importance

of family ownership. For instance, families might constitute a trust fund managed by a financial

institution. Whenever this is the case, it is the trust fund the one recorded as the shareholder.

Panel B of Table3depicts the average ownership of the first and second blockholder by

iden-tity and firm ownership structure. There are a few features worth mentioning. First, ownership

participation of second blockholders is remarkably similar regardless of the nature of the

block-holders in question and of the firm’s ownership structure. For instance, for the sample of firms

with multiple blockholders the largest shareholder has around 29% of equity rights regardless of

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is the case for the second largest shareholder, whose equity rights range from 14.5% to 18.5%.

Second, in firms with multiple blockholders there is scope for the second voting block to contest

the largest shareholder or to form a coalition in order to obtain absolute control. This prediction

is independent of whether the second blockholder is a family, foreign or a financial institution.

The ownership sum of both shareholder blocks is close to 50% in all cases. Eventually, all second

blockholders will become pivotal in the formation of a coalition.

Table3here.

The ownership structure of the firms with multiple blockholders is of particular interest. In

any attempt to characterize the ability of shareholders to form coalitions in cases where there

is no controlling shareholder, ownership distribution is highly relevant. Table4shows how, on

average, the first two shareholders account for 45% of ownership, and 54% if they engage with

the third blockholder. This holds true for all firms and for all types of blockholder (family,

lo-cal, foreign, financial institution or state) regardless of the blockholder with which the largest

shareholder wishes to engage in a coalition attempt.

Table4here.

3.2 Blockholder variables: presence, contestability, and dispersion

This study defines a blockholder as an investor with equity rights (direct votes) representing less

than 50% and more than 10% of ownership in a listed company. Thus, blockholder presence is a

dummy variable for firms fulfilling this shareholder characteristics.

Three measures for blockholder contestability are explored: i) the Shapley value of the top

three shareholders; ii) the ratio of the second shareholder to the first and iii) the ratio of the

second and third shareholders to the first.

The Shapley value, as a solution to a cooperative game, measures the probability for the largest

shareholder to form a coalition with either of the next two largest shareholders.5 By

constructu-ion, the Shapley value is one for all firms where the largest shareholder has more than 50% of the

firm’s equity rights, because it implies absolute shareholder control.

The second measure is the contestability index 2nd to 1st shareholder defined as the ratio of

the shares of the second blockholder to the shares of the largest one, that is:

Contest. index 2nd to 1st=Share 2nd shareholder

Share 1st shareholder (1)

The index approaches one when the direct votes of the top two blockholders are similar. The

closer to one means the second blockholder can contest the power of the first, therefore the

op-timal strategy is to engage in a coalition. The farthest from one means that the first shareholder

can advance in decision making without the second largest. This indicator grows in relevance for

5Leech(2002)’s construction of oceanic finite games to compute power indices is followed, this variable was obtained

from using the online application available athttp://homepages.warwick.ac.uk/˜ecaae/ssocean.html#data input.

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firms without absolute control and for multiple blockholders where the largest block is able to

engage in a coalition with the second shareholder, achieving a controlling position.

The third measure, contestability index 2nd and 3rd to 1st shareholder, proxies the ability of

the second plus the third largest shareholders to challenge and monitor the largest shareholder.

It is defined as:

Contest. index 2nd and 3rd to 1st=Share 2nd shareholder+Share 3rd shareholder

Share 1st shareholder (2)

Dispersion estimates are defined using two Herfindahl-Hirschman Index (HHI) type measures.

First, the standardHHIis constructed using the first to fourth largest shareholders:

HHIconcentration=

∑4 i=1s

2 i

100 (3)

wheresiis the share ofithshareholder´s shares.

A higherHHIconcentration indicates the presence of a large shareholder, and his inherited

control; this is an obvious result for the segment of firms with a controlling shareholder, about

50% of the sample described above. For the 45% of the sample where non-controlling large

share-holders have been identifiedtheHHIconcentration will always be lower than for firms with

con-trolling shareholders.

The second dispersion estimate highlights the difference between subsequent shareholders in

order to measure their dispersion:

HHIdifferences=

∑4 i=1(S

2 i −S2i)

100 (4)

wheresiis the share ofithshareholder´s shares, andS−iother shareholder different fromi.

TheHHIdifference is a measure of shareholder distribution. The higher the index the larger

the distance (in shares) between shareholders. In conceptual terms theHHIdifferences reflect the

inequality in ownership in the same way that a Gini coefficient would in income distribution.

3.3 Firm performance and financial control variables

In line with existing empirical research on firm value and multiple blockholder ownership (Claessens

et al.,2002;Faccio and Lang,2002;Mishra,2011;Attig et al.,2009), several variables were

consid-ered to measure firm performance and financial characteristics. Tobin’s Q andROAwere used to

measure firm performance. The former is the prefered measure of firm value, and was calculated

using the method proposed byBlack et al.(2006) who define the variable as the ratio between

mar-ket value and the book value of assets. Marmar-ket value is the sum of the marmar-ket value of common

stock and preferred stocks (if any), plus the book value of long-term liability and minority

inter-est. ROAis the net income to total assets ratio.ROAis one proxy for firm performance, especially

when no market data is available; it is useful because, unlike alternative financial performance

indicators such as Return on Equity (ROE), it is independent of a firm’s capital structure.6

6All results presented in the paper are those from using Tobin’s Q, estimation results usingROAare not qualitatively

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Several financial variables are included in the econometric estimation, with the purpose of

capturing the behavior and characteristics of firms appropriately, and particularly those related to

blockholder structure. The natural logarithm of assets (deflated using the Consumer Price Index

(CPI)) is used as a proxy of firm size. It is expected that a negative coefficient will be observed in

the estimation results and that large and long-established firms will demonstrate slower market

dynamics than small and young companies. This variable can also capture a moral hazard effect

easily observable in small firms, which are harder for external investors to monitor and where, in

the absence of a watchdog, reckless management can divert resources.

Wedge is measured as the ratio between Shapley value and the cash flow rights of the largest

shareholder(S1). FollowingGuedes and Loureiro(2006) this measure is used as an approach to

identify shareholders voting rights in cases where data on direct ownership is available.

Sales growth is measured as the annual growth rate of operating income. This variable is

appropriate for measuring investment opportunities. Firms with better growth opportunities are

expected to grow faster. Consequently, a positive relationship is expected between this variable

and the value and performance measures.

Leverage is measured as the ratio of the book value of total liabilities to total assets. A high

leverage indicates a scenario of financial stress affecting the firm, and challenges to its managerial

decisions. A low value indicates financial leeway. Existing empirical evidence suggests that

lever-age may have either a positive disciplinary effect on the free use of cash flow by manlever-agement, or

a negative one if it increases the probability of bankruptcy or of a firm’s aggregate financial risk.

Stock beta is the standard measure of systemic risk for a firm’s stock with respect to the

mar-ket; it measures shares that have been actively traded in the stock market for more than 180 days

in a given year. The Free Cash Flow (FCF) to equity ratio is defined as EBITDA minus expenditure

on tax and interest to total firm equity. This is an indicator of a firm’s short term liquidity.

Tangibility is measured as the ratio between plant, property and equipment and total assets.

Lower asset tangibility signals that a firm’s cash flow is presumed to be generated by intangibles

(know-how, branding, etc.), implying high firm market value. The expected relationship with the

dependent variable is negative.

3.4 Country specific institutional and macroeconomic variables

Country macroeconomic and institutional variables are included in the empirical baseline

equa-tion. Latin American countries share the same legal origin (French) and are therefore classified in

the empirical literature on corporate governance as having similar investor protection standards.

The institutional variables mainly deal with the existing ability within a country to undertake

business initiatives, which ultimately have an effect on the market value of firms. Most of the

variables fulfill the purpose of representing the power of the financial market to promote private

enterprise.

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The Emerging Market Bond Index (EMBI) primarily reflects the degree of trust felt by

inter-national investors in a country’s economic performance. Bonds issued by local firms in world

markets will be in demand as long as the firms and the country show future positive prospects.

Domestic credit corresponds to the indebtedness of the private sector within a country; it refers

also to any financial resources that may be provided, such as loans, the purchase of non-equity

securities, trade credits and other accounts that establish a claim for repayment.

Legal rights and business and financial freedom deal with the narrower characteristics of

countries that help foster private enterprise.

Legal rights, business freedom, and financial freedom deal with narrower characteristics of

the countries in fostering private enterprise. Specifically, legal rights refers to the ability to

accu-mulate private property and wealth; it is understood to be a central motivating force for workers

and investors in a market economy. The recognition of private property rights, with sufficient

rule of law to protect them, is a vital feature of a fully functioning market economy. Secure

prop-erty rights give citizens the confidence to undertake entrepreneurial activity, save their earnings

and make long-term plans in the confidence that their income, savings, and property (both real

and intellectual) are safe from unfair expropriation or theft. Business freedom concerns the

indi-vidual’s right to establish and run an enterprise without interference from the state. Burdensome

and redundant regulations are the most common barriers to the free conduct of entrepreneurial

activity. Financial freedom seeks to guarantee a transparent and open financial system ensuring

fair access to finance and the promotion of entrepreneurship. An open banking environment

en-courages competition to provide the most efficient financial intermediation between households

and firms and between investors and entrepreneurs.7 All institutional variables, except a

coun-try’sEMBI, are expressed with respect to the corresponding variable for the United States.

The set of macroeconomic variables is: countryGDPgrowth (per capita), annual inflation rate

(CPI) and the corporate market capitalization to Gross Domestic Product (GDP) ratio. These

vari-ables were chosen as they characterize even further the current state of each economy. Table 5

presents the summary of the statistics for firm performance discussed above along with the

con-trol variables that were included in the econometric baseline estimating equation.

Table5here.

4 Econometric analysis

Three econometric equations were estimated with the purpose of identifying the predicted

as-sociations of blockholder interactions on firm market value. The three equations are consistent

with the previous treatment of blockholder presence, contestability and dispersion. In all three,

the effect of liquidity and of the identity of the shareholder are included as independent variables

and interactions (level and slope).

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The equation used to estimate the presence effect is:

Tobin’s Qit=β0+β1Presenceit+β2Liquidityit+β3Identityl

+β4Presenceit×Liquidityit

+β5Presenceit×Identityl

+β6Liquidityit×Identityl

+β7Presenceit×Liquidityit×Identityl

+β8kX1it+β9kX2j+ϵit (5)

The equations used to estimate the contestability effect is:

Tobin’s Qit=β0+β1Contestabilityit+β2Liquidityit+β3Identityl

+β4Contestabilityit×Liquidityit

+β5Contestabilityit×Identityl

+β6Liquidityit×Identityl

+β7Contestabilityit×Liquidityit×Identityl

+β8kX1it+β9kX2j+ϵit (6)

The equations used to estimate the dispersion effect is:

Tobin’s Qit=β0+β1Dispersionit+β2Liquidityit+β3Identityl

+β4Dispersionit×Liquidityit

+β5Dispersionit×Identityl

+β6Liquidityit×Identityl

+β7Dispersionit×Liquidityit×Identityl

+β8kX1it+β9kX2j+ϵit (7)

where:β3,β5,β6andβ7are a vector of coefficients of lengthl−1 = 4corresponding to thel= 5

identity values: 1. family, 2. local, 3. foreign, 4. financial institution and 5. state (family is used

as the base group); and the interaction withLiquidityand the variables of interest.X1is the set of

control firm variables andX2is the set of country control variables.iindexes firms andttime.

Liquidity is a dummy variable for those firms in the top 75% of the most traded stocks by

country while Identity is a dummy variable for the identity of the second largest blockholder.

The coefficients of interest are those associated to presence, contestability and dispersion, which

shows the association between the different blockholder interests and firm market value.

Fur-thermore, what matters here is the marginal effect associated with the corresponding interaction

whenever they are “active”, in the case of liquidity : β1, β4, β5, β7wheneverLiquidityandIdentity

are not zero. The interactions are included in the equation in such a way that they modify the

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constant and slope in order to fully capture the effect of the firm’s liquidity and of the identity of

the shareholder.

The econometric results presented below are the result of an exploration of a simple equation

where Tobin’s Q is regressed against the variable of interest, adding the firm and country control

variables discussed above in batches. This process has proven useful when coefficients produce

meaningful results following the inclusion of control variables and when the estimation method

is improved by using Fixed Effects (FE) rather than Ordinary Least Squares (OLS). Such strategies

help to overcome the two basic estimator biases suspected to be present in the econometric results:

omitted and unobserved variables.8

Given the longitudinal structure of the data, the econometric estimation is theFE

transforma-tion for panel data structure, because the Hausman specificatransforma-tion test rejected the null of Random

Effects (RE) specification as the true model and because of the need to control for unobserved

fixed variables that are inherent in the estimating equation.

4.1 Econometric results. Liquidity marginal effects

This section reports the main findings of the study. The first point worth highlighting is that

the set of interactions used to group highly liquid stocks and identity in the baseline equations

become pivotal in the findings associated to the hypotheses of the paper. Therefore, the analysis

does not focus on the role of an average firm, leading the discussion instead toward the role of

high market liquidity and blockholder identity as drivers of firm value.

Table6shows the marginal effects of blockholder presence, contestability and dispersion on

firm Tobin’s Q, following the econometric specification discussed above. The regression

coeffi-cients of the firm financial controls, country institutional and macro variables are not reported.9

For each variable of interest, the table shows the marginal effects corresponding to three

specifica-tions. First, variable of interest without interacspecifica-tions. Second, variable of interest plus interaction

with high liquidity. Third, variable of interest plus interaction with high liquidity after including

identity interaction.

Several results are worth highlighting. First, blockholder presence implies a premium on firm

value of between 0.13 to 0.17 units on Tobin’s Q (columns 2 and 3) after liquidity and identity

are considered. Regression coefficients are significant at 5%. The positive effect suggests that the

mere presence of blockholders increases value to shareholders even in cases of absolute control

(i.e. first blockholder with ownership greater than 50%). This effect is greater than the reported

byLaeven and Levine(2008) for European firms, whose results show that there is a premium

on Tobin’s Q of 3.7 units of the control rights of the largest shareholder for firms that only have

multiple blockholders. The above results validate the first working hypothesis, which states that

blockholder presence is value enhancing.

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Secondly, with regard to the contestability variables (Shapley value, and the Contestability

In-dices) the relationship is negative. The Shapley value marginal effects on firm value (columns 4 to

6) are all negative, as expected. That is, as the probability of a controlling coalition being formed

between the largest block and subsequent blockholders increases, firm value decreases. When

re-gressions include liquidity and second blockholder interactions, the marginal effect ranges from

-0.14 to -0.34. This finding is particularly important since were the probability of forming a

con-trolling coalition to rise 10 decimal points (i.e. from 0.4 to 0.5) Tobins’ Q would decrease by 0.034

units. In value terms, if a firm shows a Tobin’s Q ratio of 1 and corporate capitalization is 10

million dollars, the rent diversion of a potential coalition will reduce asset value by 340,000

dol-lars. This result agrees with the tendency reported byMaury and Pajuste(2005) for 612 Finnish

firms, of a -0.20 regression coefficient, and by Guti´errez and Pombo(2009) who report

regres-sion coefficients of -0.30 and -0.58 for medium and highly liquid stocks for 140 Colombian firms.

These results provide powerful validation of our second hypothesis, which proposed a negative

effect on firm value due to potential tunneling and rent diversion by the blockholders’ controlling

coalition.

Given that the Contestability Indices are inversely related to the Shapley value, the former

dis-plays a positive association with firm value. They also capture the potential control exerted either

by the second or the next two blockholders on the largest one. The marginal effect ranges from

0.13 to 0.17 (columns 7 to 12). For instance, if the contestability index of the second blockholder

changes by one standard deviation (0.32) then Tobin’s Q increases by 5.4 units when regressions

are controlled by the stock liquidity and type of blockholder dummies.

The third set of results corresponds to dispersion measures. The regression coefficients are

presented in columns 13 to 18. TheHHIcaptures the dispersion of cash flow rights of blockholders.

The regression coefficients are (as expected) negatively related with firm Tobin’s Q indicating that

as dispersion increases there is more room for tunneling by the controlling shareholders. Their

size effect lies between -0.39 (column 17) and -0.44 (column 18), suggesting that a change of one

standard deviation on blockholders dispersion (0.26) will reduce Tobin’s Q by an average of 0.11

units. This result reinforces the one derived using the Shapley value. In fact the lower the control

power of the second or third blockholder the greater the rent capture by the controlling voting

block. Regression coefficients in all cases are significant at 5% when regressions are controlled by

stock liquidity and second blockholder-type dummies.

The last set of results supports the third and fourth working hypotheses, in the sense that the

second blockholder is a key element in improving the internal governance of firms, particularly in

emerging markets such as Latin America. The consequence for firms with illiquid, seldom traded

stocks, probably retained with the sole purpose of complying with stock exchange rules, is that

the absence of such an internal corporate governance mechanism, i.e., blockholder

contestability-increases firm agency costs and deteriorates investor protection.

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Table6here.

4.2 Econometric results. Marginal effects of second blockholder identity

The results presented in the previous section showed how the second blockholder is important

to firm value and becomes a key player exerting direct monitoring on the largest shareholder or

possibly resorting to the exit mechanism (voice) in order to discipline firm management for highly

liquid stocks. It becomes crucial, therefore, to distinguish the identity of the second blockholder

if firm value is to be maximized. This section is devoted to disentangling whether a particular

kind of blockholder is more effective than others in enforcing managerial control.

As described in the data section, the second blockholder is sub-divided according to their

main composition or identity as family, local, foreign owned, financial institution or state. In the

second set of results the ownership effect by type of second blockholder is disaggregated. Figure

1summarizes the marginal effect of each variable of interest, disentangled by the identity of the

second largest shareholder.10

Figure1here.

The principal results may be summarized as follows. First, the positive and significant effect

of second blockholder identity on firm value, for high liquid stock firms, is observed when they

are financial firms, foreign investors or the state. The extent of the marginal effects of these types

of blockholders is greater than that of family and local firms.

Second, after classifying by identity the findings show a substantial differential effect. The

change between the mere fact of there being a second large shareholder and it being of a value

enhancing kind, such as a financial firm, is not trivial. In this case the corresponding marginal

effect changes from 0.17 to 0.41, or to 0.52 if the state is the second voting block. Similar results are

observed for the contestability indices. The capacity of the second blockholder to contest control

with the first is only significant for financial firms; the marginal effect of contestability highlights

this role, increasing from 0.16 to 0.39.

Third, controlling coalitions will harm firm performance considerably more when a financial

firm or the state is involved in the coalition. In these cases the marginal effect on Tobin’s Q

decreases from an average of -0.34 to -0.59 and -0.75, correspondingly.

Fourth, the role of the state as second blockholder deserves special attention. Many firms

in the sample were formerly state owned enterprises, some belonging to the power and energy

sector, that had been privatized during the 1990s. In terms of market capitalization and size,

pri-vatized companies might be categorized as belonging to the subgroup of high stock turnover. In

the shallow Latin American stock markets these firms have become major new players. The role

of the state as second blockholder within other private firms is positive according to our findings.

However, this set of results should be taken with care, given the small number of observations. In

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the case of Chile, for instance, the principal (state owned) development bank is an active

share-holder in mining and public utilities companies.

The findings presented above highlight the importance of financial and foreign firms as

sec-ond blockholders, reinforcing the positive effect on firm performance, in contrast to family, local

and foreign ownership. These results are in line with the findings of the institutional investors

and foreign investment literature. In general terms, it is expected that these two investor types

will behave independently, providing better governance standards. This outcome supports our

third hypothesis, which predicts that the presence of an independent second blockholder

en-hances firm value.

4.3 Endogeneity checks

This section summarizes the endogeneity analysis conducted on the results that have just been

discussed. The purpose is to determine wether the results hold to misspecifications tests due to

a potential endogeneity effect embedded in the estimation results. The empirical literature on

corporate governance stresses the potential endogeneity between corporate governance

funda-mentals and firm managerial choices, such as firm value and ownership (Renders and

Gaere-mynck,2006;Bascle,2008;Larcker and Rusticus,2010;Roberts and Whited,2013;Edmans,2013).

To address these issues, an instrumental variable estimation for fixed effects regressions was

con-ducted.

The likely endogeneity issue in the econometric estimation is simultaneity. The possibility

that omitted variables and sample selection phenomena act as sources of endogeneity is not

ex-amined here. Regarding omitted variables, a large number of firm and country-specific variables

were taken into consideration in order to explain performance. The selected variables had solid

theoretical foundations and were statistically valid. They were therefore capable of providing

information on the financial performance of the firms examined. In terms of the sample selection

problem, the description of the database in section 3shows the comprehensive structure of the

data at firm level. Therefore, no bias should be anticipated when it comes to estimating results.

To address potential endogeneity consequences in the estimation results, an Instrumental

Vari-ables (IV) estimation was undertaken. Three variables were used as instruments for the

block-holder variables: (1) blockblock-holder definition lagged one period; (2) the free cash flow standard

error for the last three periods; and (3) the operating income standard error for the last three

pe-riods. Each variable was used both individually and jointly in the IVestimation, using robust

standard errors and serial correlation correction on the estimates.

The rationale for using the blockholder definition lagged one period as an instrument is that

lagged variables are an appropriate alternative for an instrumental variable estimation because

they are closely related to the current value of the potential endogenous variable and do not

necessarily explain the dependent variable in the second stage estimation. In the current setting

this option requires some degree of variability between the blockholder definition in periodtand

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periodt−1to assure the logic of instrument validity.

Following the procedure ofHimmelberg et al.(1999), free cash flow volatility and operating

income volatility are also used as instruments. These authors state that one source of ownership

endogeneity is investor risk aversion. Cash flow and operating income volatility are proxies for

firm operating risk. Thus, all other things being equal, the higher a firm’s cash flow volatility,

the less likely it is that multiple blockholder ownership will be present. In other words, thanks

to their ability to signal the estate of the company to potential investors, these variables have the

ability to isolate the potential endogeneity between ownership structure and performance. Such

volatility informs the investor decisions concerning whether or not to increase their ownership.

At the same time, firm market value will show lower levels of response to such volatility.

Table7reports theIVregressions results for joint instruments. The regression equations

repli-cate the estimates of blockholder presence, contestability and dispersion with interactions (that

is, equations5to7). The focus is on the full estimation including high stock turnover firms and

taking into account the identity of the second blockholder. In this case the table displays the full

regressions, including the set of firm-specific financial controls, country institutional and macro

variables.

The principal result of this exploration of endogeneity is that the set of tests used to validate

theIVanalysis favor the original estimation and suggest that theIVestimation results should not

be taken as definitive. To begin with, there is no statistical evidence of endogeneity. The tests

listed at the bottom of the table accept the null hypothesis that the explanatory variables are not

endogenous. The weakest case is the one corresponding to presence of blockholders, which rejects

the null hypothesis at 10% significance; the remaining estimations reject the case of endogeneity

at high levels of statistical significance. From this finding the remaining tests comply with the

standard procedure when estimatingIVregressions. The weak instruments test is also rejected

(high values of the statistic). Therefore, the set of instruments become a valid set of variables

to uncover an endogenous process within the estimation. The under-identification test is also

rejected, with zero probability on the null hypothesis of under-identification. Finally, the valid

instrument test (Hansen J) is accepted, since we have one candidate variable for endogeneity and

three exogenous instruments (as tested above).

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5 Conclusions

This paper examines the relationship between blockholders (that is, largest shareholders

control-ling between 50% and 10% of a firm’s stocks as opposed to majority shareholders with more

than 50%) and firm value. Using different measures of presence, contestability and dispersion it

finds that blockholders are positively associated with market firm value. However, this relation

is not homogeneous and is only observed in highly traded stocks (those in the top quartile of the

distribution). This result contributes to the corporate governance literature by highlighting the

important role played by deeper financial systems as mechanisms of discipline, particularly in

developing countries.

In addition, the paper examines the identity of the second largest blockholders and finds that

it is among firms in which they are financial institutions or foreign companies that the result

holds most strongly. This is not to say that family, local and state second blockholders are not

important, but it is financial institutions and foreign interests that exert the strongest and most

undeniable effects on firm performance.

Taken as a whole, the results highlight the relevance of financial markets and the need to

enlarge stock markets in order to benefit from the mechanisms that result from such processes

and to bring discipline to the classical principal-agent relationship. Most importantly, the paper

shows how it is not just any kind of large blockholder that is capable of exerting the discipline

mechanism, but that for Latin America and perhaps for other economies and regions it is financial

and foreign second large shareholders that are capable of making the difference.

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Tables and figures

Table 1.Sample construction and representativeness Panel A: Construction

Reported Datastream Mnemonics 4,809

Non-active firms (Removed) 1,552

Firms with non-equity instruments (Removed) 1,154

Banks and financial firms (Removed) 937

Firms with insufficient ownership information (Removed) 604

Final 558

Source: Author’s estimation.

Panel B: Representativeness

Assets (Tot.) /GDP Corp. Value /GDP Corp. Value /

Market Cap.

Argentina 0.170 0.144 0.705

Brazil 0.062 0.048 0.091

Chile 1.132 0.778 0.777

Colombia 0.248 0.187 0.482

M´exico 0.115 0.092 0.326

Peru 0.071 0.091 0.211

Note: Reported ratios correspond to the average ratio between 2000 and 2011, derived from the sample.

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Table 2.Ownership structure. Country

Blockholder type Latin Am. Argentina Brazil Chile Colombia Mexico Peru

Control 1st. shareholder 3,383 335 853 604 184 653 754

Multiple blockholders 3,299 114 1,206 643 289 489 558

Widely held 193 0 57 17 66 17 36

Note: Number of firms figures correspond to firm year data points. Source: Author’s estimation.

Table 3.Ownership structure. Type of second shareholder Panel A

Number of firms

Shareholder Blockholder type Family Local Foreign Financial State

1st

Control 1st. shareholder 585 1,188 702 605 142

Multiple blockholders 696 1,030 1,086 266 79

Widely held 92 47 34 8 0

2nd

Control 1st. shareholder 478 664 1,021 296 119

Multiple blockholders 539 836 1,140 317 50

Widely held 95 40 28 16 1

Panel B

Ownership

Shareholder Blockholder type Family Local Foreign Financial State

1st

Control 1st. shareholder 0.694 0.697 0.678 0.715 0.721

Multiple blockholders 0.274 0.322 0.285 0.317 0.267

Widely held 0.076 0.082 0.083 0.085

2nd

Control 1st. shareholder 0.111 0.164 0.105 0.217 0.147

Multiple blockholders 0.146 0.162 0.154 0.185 0.185

Widely held 0.060 0.070 0.066 0.075 0.092

Note: The table shows the number of firms and ownership belonging to a specific blockholder identity and whether they are first or second largest shareholder, and if they determine the ownership struc-ture among controlling 1st shareholder, multiple blockholders or widely held. For example, 585 firms have as first shareholder a family firm that makes the firm belong to one of controlling shareholder, correspondingly this group of firms has an average ownership of 69%.

Source: Author’s estimation.

Table 4.Ownership structure. Blockholder firm

Shareholder All All (Max) All (Min) All (SD) Family Local Foreign Financial State

1 0.298 0.499 0.101 0.118 0.279 0.295 0.300 0.316 0.341

2 0.156 0.499 0.003 0.091 0.146 0.162 0.154 0.185 0.185

3 0.086 0.272 0.000 0.053 0.079 0.090 0.086 0.102 0.066

4 0.055 0.244 0.000 0.041 0.055 0.059 0.057 0.058 0.042

Note: The table shows the ownership structure from the first to the fourth largest shareholder for all the sample and

by ownership identity.

Source: Author’s estimation.

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Table 5.Summary statistics

N Min Max Mean SD

Performance

Tobin’s Q 6,308 0.0800 7.030 1.221 0.727

ROA 6,373 -1.358 2.274 0.119 0.125

ROE 6,365 -46.39 44.50 0.286 1.395

Presence

Blockholder presence 6,682 0 1 0.494 0.500

Contestability

Shapley 6,679 0 1 0.703 0.341

Contest. index 2nd to 1st 6,681 0 1 0.381 0.315

Contest. index 2nd and 3rd to 1st 6,681 0 2 0.581 0.508

Dispersion

H.I. Con. 6,678 0.0126 1 0.348 0.256

H.I. Diff. 6,678 0 1 0.234 0.264

Finance

Size 6,453 -0.258 12.65 5.953 1.854

Wedge 6,679 0 5.556 1.394 0.331

Sales (Growth) 5,993 -24.32 23.95 0.0220 2.202

Leverage 6,453 0.000863 1.437 0.475 0.212

Beta 4,892 1.80e-06 7.736 0.100 0.399

Free cash flow 6,265 -30.27 31.96 0.0955 0.953

Tangibility 6,448 6.72e-06 0.967 0.411 0.246

Institutional

EMBI 6,682 64.85 5,742 482.6 684.7

Domestic credit (w.r.t U.S.) 6,682 0.0548 0.474 0.199 0.110

Legal rights (w.r.t U.S.) 4,086 0.333 0.778 0.490 0.154

Buss. freedom (w.r.t U.S.) 6,682 0.574 1 0.764 0.114

Fin. freedom (w.r.t U.S.) 6,682 0.333 1 0.716 0.156

Macroeconomy

Inflation (CPI) 6,682 -1.170 31.76 6.854 4.303

Market cap. / GDP 6,682 9.570 157.0 53.12 33.29

GDP growth (pc) 6,682 -11.73 8.660 2.624 3.099

Note: The table shows summary statistics for the explanatory variables of interest: presence, contestability, dispersion; and the remaining control variables: finance, in-stitutional and macroeconomic variables.

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T able 6. Mar ginal ef fects Pr esence Shapley Contestability 2 to 1 Contestability 2 and 3 to 1 HI concentration HI dif fer ences Coeff . × P 75 = 1 × P 75 = 1 × T ype Coeff . × P 75 = 1 × P 75 = 1 × T ype Coeff . × P 75 = 1 × P 75 = 1 × T ype Coeff . × P 75 = 1 × P 75 = 1 × T ype Coeff . × P 75 = 1 × P 75 = 1 × T ype Coeff . × P 75 = 1 × P 75 = 1 × T ype (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18) Pr esence

Blockholder presence

Referencias

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