Abstracts
Abstract
Many studies have attempted to explain the long-term underperformance phenomenon of initial public offerings (IPOs). In this paper, we use the specificities of the French market to analyze whether the control-ownership wedge explains IPO long-run performance. Moreover, we investigate whether this relationship is driven by high-tech firms. Using data from a sample of 402 French high-tech and non-high-tech IPOs that went public during 1997-2011, we find that the separation of ownership and control rights of the largest shareholder is negatively associated with long-term performance of French IPOs. This finding indicates that IPOs with disproportional ownership structure underperform other firms in the one- to five-year period following the initial offering. Such separation increases the likelihood that controlling shareholders extract private benefits of control to the detriment of minority shareholders, leading to a low long-term performance. The empirical findings also show that our conclusions are not driven by high-tech firms.
Keywords:
- IPOs,
- high-tech firms,
- long-term performance,
- control-ownership divergence,
- controlling shareholders
Résumé
Cette étude analyse l’effet de la différence entre les droits de contrôle et les droits aux flux financiers de l’actionnaire contrôlant sur la performance à long terme des introductions en bourse. En utilisant un échantillon de 402 entreprises françaises introduite en bourse entre 1997 et 2011, nous trouvons que cette différence est associée négativement à la performance à long terme des entreprises introduites en bourse en France. Ce résultat indique que les entreprises présentant une séparation entre les droits de contrôle et les droits de propriété sont moins performantes que les autres sur un horizon allant de un à cinq ans suivant l’offre initiale d’introduction. Une telle séparation augmente la probabilité que les actionnaires de contrôle tirent des avantages privés du contrôle au détriment des actionnaires minoritaires, entraînant une faible performance à long terme. Les résultats empiriques montrent également que les conclusions ne sont pas causes par les entreprises de haute technologie.
Mots-clés :
- Introduction en bourse,
- entreprises de haute technologie,
- performance à long terme,
- séparation contrôle-propriété,
- actionnaire contrôlant
Resumen
Esta investigación analiza como la diferencia entre control y propiedad de un accionista mayoritario puede explicar el rendimiento a largo plazo de las OPIs. Para ello, disponemos de una muestra de 402 OPIs francesas realizadas en el periodo 1997-2011. La evidencia obtenida indica que la separación de los derechos de propiedad y control del accionista mayoritario se asocia negativamente con el rendimiento a largo plazo de las OPIs francesas. Este estudio permite extraer que las OPIs francesas con una estructura de propiedad desproporcionada tienen un rendimiento inferior al de otras empresas en el período de uno a cinco años después de la oferta inicial. Dicha separación aumenta la probabilidad de que los accionistas mayoritarios obtengan beneficios privados de dicho control en detrimento de los accionistas minoritarios, lo que lleva a un bajo rendimiento a largo plazo. Los resultados empíricos también revelan que nuestras conclusiones no derivan únicamente de empresas de alta tecnología.
Palabras clave:
- OPIs,
- empresas de alta tecnología,
- rendimiento a largo plazo,
- divergencia control-propiedad,
- accionistas
Article body
The interest of academics and practitioners in understanding the performance of initial public offerings (IPOs) has grown over the past two decades. Past research, mainly on the US market, attempts to explain the long-run performance phenomenon, and reports an important underperformance of IPO stocks over up to a five-year period after going public (Ritter, 1991; Loughran and Ritter, 1995). Despite growing empirical evidence addressing this topic in many countries outside the US, most studies still focus on the US market. Furthermore, as yet, there have been no attempts to examine the impact of disproportionate ownership on IPO long-term performance in developed markets. The present study revisits the issue of IPO performance by focusing on the effect of ownership–control structure on post-issue long-term performance of French IPOs. More precisely, we augment empirical research on IPOs by investigating the effect of disproportionate ownership structure on long-term performance of French IPO firms and examining whether this relationship is driven by high-tech newly-listed firms.
The separation of control and cash flow rights in concentrated ownership entities shapes firm decisions. Stulz (1988) argues that the presence of large controlling shareholders comes at a cost. As ownership and control increase, the positive effect on firm value associated with CEO ownership starts to decrease compared to its negative effect related to his/her entrenchment behavior. The empirical findings of McConnell and Servaes (1990) consistently support the theoretical arguments of Stulz (1988). They show that the relationship between firm value and the fraction of common stock owned by corporate insiders decrease when insider ownership reaches 40% to 50%, corresponding to a situation where insiders maintain almost full control of the firm while owning a smaller fraction of firm ownership. In this respect, Shleifer and Vishny (1997) argue that it is likely that the interests of large controlling shareholders are at odds with those of other firm stakeholders. Nenova (2003), among others, show that superior-voting shares are always traded at a premium compared to inferior-voting shares, suggesting that minority shareholders anticipate the misuse of firm resources in the presence of high levels of control-ownership wedge. Boubaker (2007) shows that firm value decreases with control-ownership wedge for French-listed firms. Smart and Zutter (2003) show that dual-class IPOs experience lower initial returns and fewer control events during the post-IPO period than single-class IPOs, suggesting that controlling shareholders of these firms are more inclined to protect their private benefits of control. Smart et al. (2008) show that dual-class IPOs experience less CEO turnover and trade at lower prices compared to their single-class peers both at the IPO and for the long-run. Faulkender and Wang (2006) show that one extra dollar of cash contributes less to firm value as the divergence between insider voting rights and cash flow rights increases.
This study relates to two strands of the literature. First, it seeks to review and extend existing research that explains long-run performance of newly-listed firms around their IPOs. This literature attempts to provide several explanations for firm performance in the long-run (Ritter, 1991; Carter et al., 1998; Chan et al., 2004; Goergen et al., 2007). Second, this paper relates to the literature on the effect of corporate governance on the outcome of IPOs (Ahmad-Zaluki et al., 2011; Bell et al., 2014; Judge et al., 2015).
In contrast to the US context, the French context provides an interesting setting for studying the control-ownership structure for several reasons. First, the French corporate governance landscape exhibits high levels of ownership concentration, dominance of family-controlled firms and the presence of family members in management (Faccio and Lang, 2002). Second, the controlling shareholders of these firms can separate their cash flow rights from control rights using various mechanisms such as double voting shares, non-voting shares, and pyramid structure. Prior studies on the French context provide evidence that mechanisms separating control rights from cash-flow rights are commonplace in France. For instance, Boubaker and Labégorre (2008) show that French-listed firms mainly use double voting shares and pyramid structures as control-enhancing devices and that the latter ensures a larger discrepancy between ownership and control. Boubaker and Labégorre (2009) document the importance of families at the helm of French firms who very often maintain control while holding an incommensurately small fraction of cash-flow rights. These results are consistent with those of Barontini and Caprio (2006), who show that families are frequent users of control-enhancing mechanisms in Europe. Similar results have been reached by Faccio and Lang (2002) for Western continental European countries.
Moreover, the French context features relatively low levels of minority shareholders protection, inefficient law enforcement rules (Roosenboom and Schramade, 2006), and relatively less developed capital markets (Dyck and Zingales, 2004). Thus, such separation increases the incentives of the controlling shareholders to extract private benefits of control at the expense of minority shareholders, which causes a conflicts of interest between large and minority shareholders (Bebchuk et al., 2000). Unlike in the US and the UK where widely-held firms dominate the economic landscape, we focus on closely held firms which are the norm in France. Thus, the French context is perfectly suited to analyze how the agency conflict between large and minority shareholders affect the performance of IPO.
Hence, this study contributes to both the IPO and the corporate governance debates as it offers a new framework for examining the effect of ownership–control structure of IPO firms on their long-term performance. First, this study contributes to the IPO performance literature by offering a new explanation for the long-term underperformance of French IPOs. Second, it extends both the corporate finance and corporate governance literatures by focusing on the role of control-ownership structure in certifying IPO firms’ quality and offering interesting empirical additional insights on the performance of IPOs in France, which is an attractive setting to study the IPO process[1].
Using a data set of 402 French IPOs issued between 1997 and 2011, we provide evidence that IPO long-term performance decreases with excess control rights of the controlling shareholders[2], but positively related to their ultimate cash flow rights. These findings are highly significant for up to five years after the offering and remain robust after using several proxies for long-run performance.
The remainder of the paper proceeds as follows. Section 2 briefly reviews the literature on IPO long-term performance and motivates the hypotheses. Section 3 describes the data and empirical model. Section 4 provides the methodology and reports the main results. Section 5 summarizes and concludes the paper.
Literature review and hypotheses
Long-term IPO performance
Numerous studies address the existence of a long-run underperformance anomaly of IPOs around the world and provide several possible explanations for this phenomenon. Ritter (1991) pioneers these studies on the US market and shows that IPO firms perform poorly in the long-run. Loughran and Ritter (1995) find that US IPO stocks underperform by 7% per year in the five years after going public. Brav and Gompers (1997) examine whether venture capitalists impact IPO long-run performance and report that venture-backed companies perform better than nonventure-backed IPOs during the five years after the issue. Carter et al. (1998) find evidence that more prestigious underwriters have a significant positive effect on the long-run performance of IPO stocks.
In the UK, Levis (1993) examines the long-run anomaly of a sample of 712 UK IPOs that went public between 1980 and 1988. Depending on the benchmark used, the author finds that UK offerings experience an underperformance of 8 to 23% over the three years after listing. Espenlaub et al. (1999) investigate the long-run performance of 249 UK IPOs issued between July 1992 and December 1995 and find that venture capital-backed IPOs better perform than other IPOs.
Prior studies on German IPOs show negative long-run abnormal stock returns. For instance, Ljungqvist (1997) finds an average buy-and-hold return of –12.1% three years after going public. Stehle et al. (2000) show that the three-year mean abnormal return of German IPO stocks ranges between 16.1% in the period 1960-1987 and –13.5% during the 1988-1997 period. Likewise, Bessler and Thies (2007) provide new evidence on the determinants of long-run performance of IPOs in Germany between 1977 and 1995. These authors report that IPO stocks have positive long-run abnormal performance for up to 15 months, followed by negative abnormal returns over a 36-month period.
The empirical literature on French IPOs is abundant but mainly focusing on factors affecting the first day initial return. Goergen et al. (2009) show that the underpricing at the French Nouveau Marché is due, among others, to the degree of riskiness of the issuing firms and that it is lower in the presence of lock-up agreements. Chahine and Filatotchev (2008) investigate the impact of venture capitalist affiliation to the lead underwriters on long-term performance of 230 French IPOs issued between 1996 and 2002. They show that IPOs backed by venture capitalists affiliated to more prestigious underwriters have higher performance compared to other newly-listed firms one-year after the IPO date. Bouzouita et al. (2015) shows that initial underpricing lowers the costs related to information asymmetry and illiquity for French IPOs listed on the secondary markets of the Euronext. This result is consistent with those in Sentis (2001) suggesting that underpricing is the result of information asymmetry between the newly-introduced firm and investors. Ben Aissia (2014) show that higher levels of idiosyncratic skewness, turnover and momentum characterize French IPOs with high underpricing. More recently, Ben Aissia and Hellara (2019) find that industry and macroeconomic conditions affect the level of the first-day returns in French IPO market.
Few studies devote attention to exploring the reasons behind IPO long-run underperformance in the French stock market. Degeorge and Derrien (2001) suggest that there is no abnormal long-run performance in the French market. More recently, Boissin and Sentis (2014) analyze the effect of financial analyst recommendations on the long-run performance of French IPOs issued between 1991 and 2005. These authors find that abnormal long-run performance is higher for firms with high analyst coverage compared to those with low analyst coverage over a 3- to 5-year horizon.
Hypotheses
Cash flow ownership
Prior research on corporate governance identifies two types of agency conflicts, the one between managers and owners (Type I) and that between minority and controlling shareholders (Type II). Jensen and Meckling (1976) argue that lower ownership stakes held by firm managers gives them incentives to increase their consumption of perquisites. Thus, firms with higher levels of managerial ownership experience better performance (Morck et al., (1988); Ducassy& Guyot (2017)). The existence of blockholders should have a positive impact on firm performance since these shareholders have larger resources and incentives to obtain information and monitor managers, which mitigates the agency costs (Shleifer and Vishny, 1997). In the same vein, Leland and Pyle (1977) claim that insider ownership serves as a “certification” device that ensures convergence of interests between insiders and outside shareholders, which manifests as better firm performance. Jain and Kini (1994) find evidence that managerial ownership is a significant and positive determinant of IPO operating performance. In other words, firms where the manager owns a substantial ownership stake do not show high long-run underperformance after going public.
Following the same reasoning, we should also expect long-term performance of IPOs to increase with the ultimate cash flow (UCF) rights of the largest controlling shareholders at the offering date. High UCF rights provide controlling shareholders with strong incentives to maximize their firms’ future performance. Claessens et al. (2002) suggest that higher UCF rights play a significant role in aligning the interests of large and minority shareholders. Furthermore, they (p. 2741) point out that “[i] nvestors with large ownership stakes … are able to collectinformation and oversee managers, and so can help overcome one of the principal–agentproblems in the modern corporation–that of conflicts of interest between shareholders andmanagers.” Using a sample of 1,301 East Asian corporations, these authors find evidence that firm value increases with the UCF rights of the largest shareholder. Additionally, La Porta et al. (2002) observe that firms with higher cash-flow ownership by the largest shareholder have higher firm valuations in countries with high protection of minority shareholders. In the same vein, Lemmon and Lins (2003) show that firm value increases with the cash flow rights of the controlling owner. Consistently, Barontini and Caprio (2006) use a sample of 675 publicly traded firms in 11 Continental European countries and find that firm valuation and operating performance are positively and significantly related to the ultimate cash-flow rights of the controlling shareholder.
In light of these arguments, we draw the following hypothesis
H1: The long-run performance of an IPO firm increase with the ultimate cash-flow rights of the controlling shareholder.
Separation of control rights and cash flow rights
Much of the early literature on the theory of firms is hinged on the assumption of widely dispersed ownership. This approach was propagated by Baumol (1959), Jensen and Meckling (1976), and Grossman and Hart (1980). For instance, Grossman and Hart (1980) argue that shareholders of firms that feature widely dispersed ownership have limited incentives to monitor management. Grossman and Hart (1988) and Harris and Raviv (1988) conclude that the departure from the one-share-one-vote rule could be socially non-optimal as it maximizes the benefit of control to the large shareholder and would generate additional costs for the firm, lowering shareholder value. In the same thread, Morck, Shleifer, and Vishny (1988) study the relationship between managerial ownership and firm value. They document a negative relationship in the 5%-25% ownership range, suggesting an entrenchment effect caused by a situation of quasi-entire control of the company while holding an incommensurate small fraction of cash flow rights.
Bebchuk, Kraakman, and Triantis (2000) consider that control-enhancing mechanisms that separate control from cash flow rights aggravate the extent of the agency conflict between controlling and minority shareholders, leading to more potential consumption of private benefits that are only in part borne by the control party. The authors show that for given level of a control stake, agency costs rise nonlinearly in a sharply manner when the fraction of cash flow rights of the controlling shareholder decreases. Consistent with these findings, Masulis, Wang, and Xie, (2009) show that as the control-ownership wedge increases, CEOs benefit from higher compensation, make value-destroying acquisitions, the value of cash-holding is lower to minority shareholders, and capital expenditures do not fully increase shareholder value. Claessens et al. (2002) and Lemmon and Lins (2003) investigate the link between ownership-control structure and firm performance in Asian countries and find evidence that firm value decreases as control rights exceed cash-flow rights. Barontini and Caprio (2006) confirm this inverse relationship in Continental Europe. Similar conclusions were reached by Lemmon and Lins (2003), Lins (2003), Harvey, Lins, and Roper (2004), and Gompers, Ishii, and Metrick (2010). Shleifer and Vishny (1997) suggest that a concentrated ownership structure leads to a new agency conflict, as the interests of the controlling and minority shareholders are not perfectly aligned. La Porta et al. (1999) is the first study that identifies ultimate controlling shareholders by tracing the chain of ownership until the ultimate owners. The authors argue that the separation of ownership and control of the controlling shareholders increases their incentives to extract private benefits of control at the expense of minority shareholders.
Existing empirical research on corporate governance shows the separation of control and cash flow rights lowers firm value (e.g., Cronqvist and Nilsson, 2003;; Torres et al., 2017), lowers financial visibility (Boubaker and Labégorre, 2008), lowers stock liquidity (Attig et al., 2006), increases the cost of equity capital (Guedhami and Mishra, 2009; Lin et al., 2011), lowers demand for high-quality auditors (El Ghoul et al., 2015), leads to longer debt maturity (Ben Nasr, et al., 2015), and to more reliance on bank debt financing (Boubaker, et al., 2017). Based on these arguments, we hypothesize that separating control rights from cash flow rights would create an entrenchment behavior that eventually decreases long-term performance. The foregoing reasoning leads to the following hypothesis.
H2: The long-run performance of an IPO firm decreases with the separation of control rights and cash flow rights of the controlling shareholder.
However, the preceding reasoning does not necessarily mean that the separation of control rights and cash flow rights is detrimental to firm survival. Indeed, Derouiche et al. (2018) provide evidence that excess cash flow rights affect the survival rate of French IPOs. In particular, they show that the survival rate is positively influenced by the level of excess control since the latter provides incentives for owners to ensure the continuity of firm operations and maintain their private benefits for a longer period. Firm survival does not necessarily come with a better firm performance since its objective here is to consume private benefits of control at the expense of minority shareholders.
Data and empirical model
This section describes our sample selection procedure, outlines the empirical model, defines control variables, and provides descriptive statistics of the main variables.
Data
Sample selection
To define our sample period, we use the largest recent time period available at the beginning of this study. So we start in 1997[3] and end in 2011 since we need performance measure five years after (i.e. in 2016). So, your sample consists of 402 French IPOs from 1997 to 2011. Companies from the utility and financial sectors (SIC codes 4900-4999 and 6000-6999, respectively), foreign firms, offerings issued over-the-counter, and those moved to a different exchange are excluded from our sample. Ownership data and firm and issue characteristics at the offering (age, offering size, name of the lead underwriter, offer price, and industry classification) are gathered from the prospectuses of the offering firms, the French financial markets authority (Autorité des marchés financiers, AMF), NYSE-Euronext websites, and from the firms’ websites. Financial data are collected from the Worldscope database.
Measures of ownership structure variables
Following Claessens et al., (2000) and Faccio and Lang (2002), the UCF rights are computed as the sum of the products of ownership stakes of the controlling shareholder along the different control chains. The ultimate control rights (UCO) are calculated as the sum of the weakest links (i.e., the lowest percentages) in the control chains. Hence, we start by defining the direct owners of our sample IPOs, the owners of these direct owners, the owners of their owners, and so on. Thus, we determine the complete ownership and control chains back to the ultimate owners. Ultimate owners are classified into four types, namely, family, government, widely held firms, and widely held financial institutions. Widely held firms are those without ultimate controlling owners at the 10% control threshold.
We consider the following stylized example to illustrate the computation of our ownership structure variables (i.e., ultimate cash flow and control rights)[4]. Let’s consider a family that owns 30% of the direct cash flow rights and 40% of the direct control rights of firm A and 11% of the direct cash flow and control rights of firm B (that is, OFamily, A = 30%; VFamily, A = 40%; and OFamily, B = VFamily, B = 11%). Firm A, in turn, holds 20% (30%) of the direct cash flow (control) rights of firm B (i.e., OA, B = 20% and VA, B = 30%). As a result, the family is the ultimate owner of firm B. Its ultimate cash flow rights are the sum of the products of cash flow rights along the different control chains, that is, UCF = (OFamily, A × OA, B) + OFamily, B = 17%. Its ultimate control rights equal the sum of the weakest links along the different control chains, that is, UCO = min (VFamily, A; VA, B) + VFamily, B = 41%. Using UCO (UCF) as the post-IPO control (cash flow) rights of the ultimate owner, we define our two measures of control-ownership wedge:
Excess_control is the difference between the control rights (UCO) and cash flow rights (UCF) of the ultimate owner, all divided by her control rights (UCO); Excess_control = (UCO-UCF)/UCO = (41% - 17%) / 41% =0,59
Excess_ratio is the ratio of the control rights to cash flow rights; Excess_ ratio=UCO/UCF = 41% / 17% = 2.41.[5]
Empirical model
Using an ordinary least squares regression, we estimate the following empirical model to test our hypotheses:
where, Long-run performance measures are the buy-and-hold market-adjusted returns (BHRs) and the cumulative market-adjusted stock returns (CARs) accumulated for 12, 24, 36, and 60 months starting from one month after the IPO month;
Excess control variables (-), is proxied using Excess_control and Excess_ratio.
Control variables are firm age (LnAge), firm size (LnAsset), offer size (Ln_Size), initial return (Initial_Return), offer price (Offer_price), and underwriter reputation (Underwriter). LnAge is the age of the firm (in years) at the offering date measured as the natural logarithm of the difference between the year of introduction and the year in which the company was founded. LnAsset proxies for firm size. It is the natural logarithm of the total assets at the offering date. Ln_Size is of the offering calculated as the natural logarithm of the gross proceeds. Initial_Return is the difference between the closing price at the first trading day and the offering price, all divided by the offering price. Offer_price is the offer price of the IPO. Underwriter is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. Appendix I reports definitions for all the variables used in our analysis.
Control variables
We use control variables identified in the literature as potential determinants of IPO long-term performance. Control variables include firm age, firm size, offering size, initial return, offer price, and underwriter reputation.
Age refers to the age of the IPO firm, in years, since establishment. Bhabra and Pettway (2003) and Ritter (1991) report that the best-performing firms are those with longer business histories, as they possess more experience, and so less ex ante risk. Therefore, we expect a positive relationship between firm age and long-run performance.
Size is often measured either through firm size (natural logarithm of total assets) or issue size (natural logarithm of gross proceeds). Ritter (1991) shows that large firms are likely to experience better long-run performance, as they are generally more diversified, have better access to capital markets and are less exposed to financial distress costs. Thus, we posit that firm size has a positive effect on IPO long-run performance.
Initial return. Carter and Dark (1990) find evidence that abnormal 18th month aftermarket returns are slightly lower for firms with higher initial returns compared to firms with lower initial returns. Ritter (1991) claims that industries with the lowest average initial return perform better than those with the highest average initial return. Firms with higher initial returns need to correct more regularly for their subsequent prices, which leads to lower long-run performance. Thus, we expect a negative relation between initial return and IPO long-run performance.
Offer price. According to the signaling theory, high-quality firms tend to choose a higher stock price at their IPO as a signal of their quality. In fact, they underprice at the time of offering in the hope of regaining this loss in the future when the true quality is revealed, and thus they present better long-run performance (Álvarez and González, 2005).
Underwriter is the underwriter’s quality ranking. Prior studies find a positive relation between underwriter reputation and IPO long-run return. IPO firms handled by prestigious underwriters are expected to experience less severe long-term underperformance (Michaely and Shaw, 1994; Carter et al., 1998). In fact, a high-quality underwriter helps in reducing information asymmetry between issuers and investors, and thus it signals a high-quality issue.
Descriptive statistics
Table 1 provides descriptive statistics of the independent variables (Panel A) and long-term performance variables used in our model (Panel B). As shown in Panel A, the average excess control rights (Excess_control) of our sample firms is 9.97% (Excess_ratio is 1.15). The average largest shareholder holds 43.5% of firm cash flows. Regarding firms characteristics, IPO firms include young and firms with an average (median) age of about 14 years (9 years). In addition, they range from small-sized firms (5th percentile total assets equals € 7.5 million) to large-sized firms (95th percentile total assets equals € 675.90 million) with a mean (median) size of € 402.45 (€ 45.22) million. We also observe that 41.3% of the sample firms are underwritten by prestigious underwriters. Regarding long term performance measures, we note in Panel B that the mean (median) BHR falls from 0.154 (‒0.173) in the first-year following the IPO to ‒0.050 (‒0.296) five-year period after the listing, while the average CAR declines initially and then increases in the third and fifth years after the IPO to reach a peak of 0.228.
Table 2 reports the mean and median values of post-IPO performance measures for the two-subsamples divided by whether the firm has positive excess control and allows comparing between the mean BHR (CAR) of firms with excess control and those without excess control. The mean BHR for IPOs with excess control declines over the five years after the IPO, whereas that for firms without excess control falls over the first two years then increases. The mean CAR for each subsample shows a slight decline during the first three years after going public, but then increases.
Table 3 displays pairwise correlations among the independent variables used in our regression. The results show that the absolute value of the correlation coefficients between the regressors used in the same specification range between 0.008 and 0.691, indicating that multicollinearity is not a serious issue in our study.[6] In addition, all variable inflation factor (VIF) coefficients are less than 2, and tolerance coefficients are greater than 0.5.
Methodology and results
Methodology
To investigate the long-run performance of the sample firms, we compute for each newly-listed firm, CAR and the buy-and-hold returns (BHR).
CAR is calculated as follows:
where rit is the monthly raw return of the stock, and rmt is the monthly raw return of the benchmark portfolio.
Following Ritter (1991), the buy-and-hold returns for a stock (BHR) are computed as follows:
where rit is the monthly raw return of the stock, and rmt is the monthly raw return of the benchmark portfolio.
Regression results
This section presents regression results that link the separation of cash flow rights and control rights to the post-IPO long-term performance. We estimate our regressions using standard ordinary least squares. In all regressions, the standard errors of the coefficient estimates are corrected according to White (1980). We estimate our model with 13-, 25-, 37-, and 61-month CARs (Table 4) and BHRs (Table 5) as dependent variables. Governance variables are Excess_control, Excess_ratio, and UCF. Control variables are LnAge, LnAsset, Ln_Size, Offer_price,Initial_Return, and Underwriter.
Table 1
Summary statistics of variables
This table depicts the summary statistics of variables used in our model. Panel A reports descriptive statistics on the governance variables and firm characteristics used in our regressions. Panel B presents descriptive statistics on performance measures. The sample includes 402 French lPOs over the period 1997–2011. Appendix I reports definitions for all the variables used in our analysis.
As shown in Table 4, every one-percentage-point increase in excess control rights (Excess_control) results in a 0.59% (1.04%, 1.19%, and 1.19%) decrease in CARs 13 months (25 months, 37 months, and 61 months, respectively) post-IPO; this decrease is statistically significant at the conventional levels for all post-IPO periods. Likewise, as shown in Table 5, an increase of one percent in excess control rights (Excess_control) results in a significant decrease of 1.02% (0.64%, 0.94, and 0.81%) in BHRs 13 months (25 months, 37 months, and 61 months, respectively) after the IPO. Moreover, Table 4 shows that the coefficients of Excess_ratio are negative and statistically significant at the 10% level in specification 2 and at the 1% level in the remaining specifications. Again, in Table 5, we still find a negative and significant effect of the control-ownership wedge of the largest shareholder (Excess_ratio) on BHR. Consistent with our hypothesis, these findings suggest that firms with higher separation of control and cash flow rights underperform other IPOs in the long-run. Control-ownership wedge, thus, provides controlling shareholders with strong incentives to extract more private benefits of control to the detriment of firm performance.
As shown in Table 4, we find that the coefficients of the ultimate cash flow rights of the controlling shareholder (UCF) are positive and significant (at 5% and 10% levels) 25, 37, and 61 months post-IPO. Table 5 also reports a positive and significant relationship between cash flow rights and 25-month and 37-month BHR. These results support, to some extent, the prediction that IPO long-run performance increases with the cash flow rights of the ultimate owners. Controlling shareholders with high cash flow rights are more inclined to maximize their firms’ future performance, since they own a large proportion of firm ownership. In other words, firms where owners hold large ownership stakes are less likely to suffer from agency problems, and thus from long-term underperformance.
With regard to control variables, the coefficient on firm age (LnAge) is statistically insignificant, implying that it makes no difference whether that IPO firms have long operating histories. The coefficients on lnAsset are positive and statistically significant, indicating that larger firms perform better in the long-term. However, the coefficient on ln_Size is negative and statistically significant, suggesting that firms with greater offering size underperform in the long-run. Overall, the coefficient on Offer_Price is positively and statistically related to IPO long-term performance, suggesting that the offer price can serve as an indicator of the issue quality. This evidence is consistent with the view that low-priced IPOs are more likely to delist due to financial distress over the first five years post-IPO, and thus high-priced IPOs outperform low-priced ones (Fernando et al., 2004). In the same vein, the finding regarding Initial_Return suggests that there is a negative and statistically significant relationship between underpricing and long-run performance one year after the IPO. Underwriter reputation, Underwriter, is positively associated with the long-run performance. The relationship is statistically significant when the long-run performance is measured after 13, 25 and 37 months following the IPO for CARs and 13 months for BHARs. This result is consistent with the theory that IPOs with more prestigious underwriters perform better in the long-run (Carter et al., 1998).
Table 2
IPO performance measures by excess control
This table presents the means and medians of post-IPO performance measures by subsample (firms without excess control and firms with excess control). The sample includes 402 French lPOs over the period 1997–2011. Appendix I reports the definitions for all the variables used in the analysis.
Table 3
Pearson correlations
This table reports Pearson correlations between the independent variables used in our main regressions. The sample includes 402 French lPOs over the period 1997–2011. Appendix I reports definitions for all the variables used in our analysis.
Robustness tests
To test the robustness of our results, we perform several additional tests. First, we use relative wealth ratios as a measure for long-run performance. Then, we conduct sensitivity tests using additional control variables, including another proxy for excess control and excluding all IPOs issued during the crisis years from the sample.
Relative wealth ratios
To test the robustness of our main results, we use the relative wealth as a proxy for long-term performance. Following Loughran and Ritter (1995), we compute wealth relative ratios as the mean return of the IPO portfolio for a period (between t=1 and t=T, being alternatively 13, 25, 37, and 61 months) over the mean return of the respective benchmark in the same period. The wealth relative ratios are measured as follows
where, rit is market return on the security; E(rit) is expected return, and N is number of IPOs.
Table 4
The impact of control-ownership structure on the post-IPO long-term performance (CARs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 5
The impact of control-ownership structure on the post-IPO long-term performance (BHRs)
In this table, the dependent variable is market-based performance, measured as the BHRs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash-flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
We further re-estimate our regressions to examine the impact of ownership–control structure on the wealth relative ratios for the one-, two-, three-, and five-year periods post-IPO. The results are reported in Table 6. The coefficients of Excess_control and Excess_ratio remain negatively related to the long-term performance. This finding is consistent with H1, suggesting that separating ownership and control provides incentives to the controlling shareholders to extract private benefits of control at the expense of other shareholders. Moreover, the coefficients of UCF are positive and statistically significant 25 and 37 months post-IPO, indicating that high ultimate cash flow rights give controlling shareholders incentives to preserve their wealth and thus to maximize the firm’s future performance. The signs and statistical significance of the estimated coefficients on control variables remain qualitatively unchanged.
Sensitivity tests
We perform several additional sensitivity tests including additional control variables, using an alternative measure for excess control and excluding the financial crisis period (2007-2008). The results are reported in Table 7. In columns 1, 2, and 3 of this table, we include additional control variables that were used in previous studies, such as Audit, Hot_period, and Number_of_risks, respectively[7]. In column 4, we use Expropriation as an alternative measure for excess control. Expropriation equals the difference between controlling rights and cash flow rights of the largest shareholders. Finally, we exclude from the sample IPOs that are listed during the financial crisis of 2007-2008. All findings remain qualitatively the same as those reported in previous tables.
Table 6
The impact of control-ownership structure on the post-IPO long-term performance (WRTs)
In this table, the dependent variable is market-based performance, measured as the WRTs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
High-tech versus non-high tech firms
In this section, we attempt to check whether there is a systematic difference between high-tech and non-high-tech firms regarding the relationship between ownership structure and post IPO long-term performance. Benveniste and Spindt (1989) observe that high-tech firms are younger, suffer from greater information asymmetry and are thus most likely to benefit from information acquisition during the book-building period. In the same vein, Kim et al. (2008) expect a higher degree of information asymmetry and increased investor uncertainty for highly leveraged high-tech firms.
During the high technology boom in the late 1990th, the characteristics of high-tech IPOs were considerably different from those of non-high-tech ones. Bratov et al. (2002) show that a majority of high-tech IPOs have little pre-IPO revenues which results in less or no profits. They are considered risky firms since their operating cash flows tend to be more volatile. Pukthuanthong-le and Walker (2008) investigate whether the relationship between insider ownership and underpricing differs between high-tech and non-high-tech IPOs. They find that insiders of high-tech firms tend to increase their pre-IPO ownership when they anticipate underpricing to be high. In the same vein, Kim et al. (2008) focus on the impact of leverage for high-tech and non-high-tech firms on IPO underpricing. The authors conclude that high leverage for high-tech firms is related to greater risk and uncertainty, leading to higher underpricing. In our context, we concentrate on how the link between ownership-control structure and long-term performance differs depending on whether an IPO firm operates in the high-tech sector or not. Following prior studies, we expect long-term performance of high-tech IPOs to rise with the ultimate cash flow rights of the largest controlling shareholders since large insider ownership serves as a “certification” mechanism that guarantees convergence of interests between insiders and outside shareholders, leading to better long-term firm performance. In contrast, separating ownership from control of high-tech IPOs would yield to an entrenchment behavior that eventually lowers long-term performance since high-tech IPOs are exposed to more asymmetric information and uncertainty compared to non-high-tech ones.
Table 8 compares firm characteristics between high-tech and non-high-tech firms. The separation of control rights and cash flow rights is less important in high-tech IPO firms than other newly-listed firms. The average mean (median) excess control is 8.1% (5%) for high-tech firms where it is 9% (12%) for the other, suggesting that owners of high-tech firms are less likely to consume private benefits of control at the expense of minority shareholders. In other words, our main results do not seem to be driven by high-tech firms. Owners of high-tech firms own on average a substantial ownership stake in their firms that amounts to 39% (Median 38%) compared to 46% (Median 42%) for the owners of other firms. These differences are statistically significant at the conventional levels. Moreover, on average, high-tech firms are younger, smaller, have lower offer price, and exhibit lower initial returns.
Table 7
Sensitivity tests
This table reports the results of sensitivity tests. For sake of parsimony, only results using the dependent variable CAR 25 months after IPO are reported in this table. In columns 1, 2 and 3, we incorporate additional control variables used in prior studies namely auditor prestige, hot period and number of risks. In column 4, we use expropriation (UCO–UCF) as an alternative proxy for excess control. In column 5, we exclude firms listed during the crisis period (2007–2008). Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is a dummy variable which equal one if the underwriter’s quality ranking, compiled as the total proceeds of IPOs underwritten by the lead underwriter during the sample period in percent of total proceeds, exceeds the third quartile, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
To further understand whether our results depending whether IPO firms belong or not to the high-tech industry, we rerun our main model while including a dummy variable Hightech that equals to one for firms in high-tech industries, and zero otherwise. We also interact this variable with Excess_control, Excess_ratio, and UCF, each in a different specification. Tables 9, 10 and 11 present the results where the long-term performance of the IPO firms is measured using CARs, BHARs, and the relative wealth ratio, respectively. These measures are computed 13, 25, 37 and 61 months after the date of the offering. The results consistently show that all the interaction terms are non-statistically significant, suggesting that our main results are not driven by high-tech firms. In other words, there is no evidence that the presence of a separation of control and cash-flow rights in high-tech firms leads to lower long-term performance. Owners of these firms do not seem to use control—enhancing devises to extract private benefits of control.
Table 8
Descriptive statistics for subsamples and Difference-Between-Means (Medians) t-statistics
This table reports descriptive statistics for subsamples (high-tech and non-high-tech firms) and difference between means and median t-statistics.
Table 9
Does control-ownership structure differently impact the post-IPO long-term performance of High tech firms? (CARs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is equal to one for firms in high-tech industries, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5% and 1% respectively.
Table 10
Does control-ownership structure differently impact the post-IPO long-term performance of High tech firms? (BHRs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is equal to one for firms in high-tech industries, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 11
Does control-ownership structure differently impact the post-IPO long-term performance of High tech firms? (WRTs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is equal to one for firms in high-tech industries, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Conclusion
There has been very little research on the effect of ownership structure on the long-run performance of IPOs. In this study, we improve our understanding of how ownership–control structure, especially the separation of control and cash flow rights of the largest shareholders, affects IPO performance in the long run. To date, research on this topic is limited to developing markets and is non-existent in developed countries. For instance, we provide new evidence for one of the most active European developed markets (i.e., France). An additional attractive feature is that French corporations are characterized by a concentrated ownership structure.
Using a sample of 402 French IPOs listed during the 1997-2011 period, we investigate the impact of ownership–control structure on IPO long-term performance 1, 2, 3, and 5 years after listing. Several interesting findings emerge from this analysis. First, we find that IPOs perform worse when there is a wedge between ownership and control rights of the dominant shareholders. This result is consistent with the view that the separation between control and cash flow rights gives the majority shareholder the power and the incentive to extract private benefits to the detriment of minority shareholders. On the other hand, we find that both CAR and BHR increase with the ownership interests of the controlling shareholders. This result suggests that higher cash flow rights lessen the controlling shareholder’s incentive to extract private benefits, which enhances the IPO’s long-run performance.
The present study is subject to certain limitations. First, the initial offerings are from a developed market with a specific market organization, which limits the generalizability of the results to other emerging markets where the problem of control-ownership wedge is severe. Given the growing availability of data, the generalizability of the results can be enhanced by conducting similar studies for other economies such as in East Asia and Central and East Europe where ownership structures are highly concentrated.
Moreover, this study shows that the divergence of control and cash flow rights partly explain the long-term underperformance of French IPOs. However, it does not consider whether there are other large shareholders in the firm that may play an important monitoring role and limit the extraction of private benefits of control. The role of the controlling shareholder after the IPO could be affected by the presence of other blockholders who have the incentive, the power and the means to closely monitor the firm and make sure that is being run in the best interests of all its constituents. A very interesting research avenue would consider the outcome of the power interplay between multiple large shareholders following IPOs.
This study shows that the high-tech firms do not behave differently from others following IPOs with respect to the relationship between control-ownership wedge and long-term firm performance. Hence, the greater uncertainty they face does not seem to materially affect the extraction of private benefit after an IPO. A possible extension would be to focus on whether the high-tech non-high-tech differences can affect the managerial decisions to make IPOs or not.
All these findings taken together clearly show that firms do suffer from a large long-term underperformance in the presence of substantial control-ownership wedge. This result holds irrespective whether the newly-introduced entities in the stock market are high tech or non-high tech firms. These results are interesting for academics, managers, and policymakers alike. They put the debate on the one-share-one-vote principle in the forefront of the corporate governance agenda. It suggests that dual-class shares are not exempt of downside effects and that streamlining and trimming pyramid structures could reduce control-ownership wedge, limiting the divergence of interests between controlling and minority shareholders and improving the long-term performance of IPOs in concentrated ownership settings. Policymakers can find new insights in this paper on the effect of control-wedge in shaping firm performance that can help them justifying their decisions regarding the adoption of control-enhancing mechanisms and improving corporate governance. These research findings may also help investors decide whether to invest or not when control rights depart from ownership rights. Our results increase their awareness about the risks they incur when investing in these kind of concentrated ownership firms.
Appendices
Appendix
Appendix 1 . Description of independent variables
Biographical notes
Sabri Boubaker is a Professor of Finance at EM Normandie Business School and Research Fellow at the Institut de Recherche en Gestion (University of Paris Est). He holds a Ph.D. in Finance from University of Paris Est (2006) and a HDR degree (Habilitation for Supervising Doctoral Research) in 2010 from the same university. He has recently published many academic papers in international refereed journals including Financial Management, Journal of Corporate Finance, Journal of Banking and Finance, Journal of International Money and Finance, Journal of Economic Dynamics and Control, International Review of Financial Analysis, European Financial Management Journal, and Journal of International Financial Markets, Institutions and Money.
Alexis Cellier has a master degree from the EDHEC Business School and is a doctor in management from the UCLouvain FUCaM Mons (formerly Fucam Catholic University Faculties of Mons - Belgium) and the University of Perpignan (France). Alexis Cellier is now senior lecturer at the UPEC (Paris Est Créteil University) and member of the IRG laboratory (Institute of Management Research - EA 2354). His research areas include microstructure of financial markets, corporate social responsibility, and corporate finance. His research has been published in international journals such as Brussels Economic Papers, European Financial Management, Journal of Applied Business Research, Finance Contrôle & Stratégie, and Journal of Banking and Finance. He has also contributed to many edited books.
Riadh Manita is an Associate Professor of Accounting and Audit at NEOMA Business School. He holds a Ph.D. from University of Franche comté (2005) in France and a Chartered accountant’s diploma from ISCAE Tunisia (2000). He has published several academic papers in international refereed journals including M@n@gement, Journal of Applied Accounting Research, Annals of Operation Research, International Journal of Business, and Gestion 2000. He has also published many professional papers mainly in “Revue Française de Comptabilité” (CPA Journal in France). Dr. Manita is also a co-author of several books and has published several book chapters in accounting and audit published in prestigious publishers such as Nathan, De boeck, Hermes, and AFNOR.
Narjess Toumi is assistant professor of Finance at Al-Baha University (KSA). She holds a Ph.D. in Finance from University of Paris Est (2018) and a master degree in actuarial sciences and finance from the Institut des Hautes Etudes Commerciales de Sousse (Sousse University). Her research interests include corporate finance, corporate governance, and initial public offerings. She has published several papers in international refereed journals such as Journal of Applied Accounting Research, Journal of Management and Governance, and Gestion 2000.
Notes
-
[1]
Academic research provides several possible explanations for the long-term underperformance phenomenon (e.g., Ritter, 1991; Louhghran and Ritter; 1995; Brav and Gompers, 1997). It remains however silent regarding the effect of control-ownership wedge of the large owner on IPO long-term underperformance.
-
[2]
Control-ownership wedge and excess control are used here interchangeably to refer to the separation of control rights and cash flow rights.
-
[3]
We do not start our sample before 1997 due to missing data on old operations.
-
[4]
UCO and UCF are two continuous variables. UCO is the proportion of ultimate control rights and could vary from 10% (control threshold) to 100% when the large shareholder owns full control of the firm.
-
[5]
In a robustness test, we use an alternative computation method of UCO that considers owners with more than 50% of the control rights as fully controlling the company, thus transforming any UCO greater than 50% to 100%. Our results remain qualitatively unchanged when we consider this alternative definition of the variable. These results are available from the authors upon request.
-
[6]
Kennedy (2008) considers that multicollinearity may not be a problem when the correlation between independent variables is below 0.8. Table 3 shows that only one correlation coefficient is higher than 0.6; the one between LnAsset and Ln_Size. The results (unreported) remain qualitatively the same after running all regressions separately with only one of the two variables as a regressor.
-
[7]
Audit is a dummy variable that takes 1 if the IPO is audited by one of the big audit firms, 0 otherwise. Hot period is a dummy variable that equals 1 if the IPO occurred from 1998 to 2000, zero otherwise. Number_of _risks is the number of risk factors listed in the prospectus.
Bibliography
- Ahmad-Zaluki, N. A., Campbell, K., & Goodacre, A. (2011). Earnings management in Malaysian IPOs: The East Asian crisis, ownership contol, and post-IPO performance. The International Journal of Accounting, 46(2), p. 111-137.
- Aissia, D. B. (2014). IPO first-day returns: Skewness preference, investor sentiment and uncertainty underlying factors. Review of Financial Economics, 23(3), p. 148-154.
- Aissia, D. B., & Hellara, N. S. (2019). Systematic risk, the tradeoff of leverage and IPO first-day returns. Review of Quantitative Finance and Accounting, 53(1), p. 239-256.
- Álvarez, S., & González, V. M. (2005). Signalling and the Long‐run Performance of Spanish Initial Public Offerings (IPOs). Journal of Business Finance and Accounting, 32 (1‐2), p. 325-350.
- Attig, N., Fong, W. M., Gadhoum, Y., & Lang, L. H. (2006). Effects of large shareholding on information asymmetry and stock liquidity. Journal of Banking and Finance, 30(10), p. 2875-2892.
- Barontini, R., & Caprio, L. (2006). The effect of family control on firm value and performance: Evidence from continental Europe. European Financial Management, 12(5), p. 689-723.
- Bebchuk, L. A., Kraakman, R., & Triantis, G. (2000). Stock pyramids, cross-ownership, and dual class equity: the mechanisms and agency costs of separating control from cash-flow rights. In Concentrated Corporate Ownership (p. 295-318). University of Chicago Press.
- Bell, R. G., Filatotchev, I., & Aguilera, R. V. (2014). Corporate governance and investors’ perceptions of foreign IPO value: An institutional perspective. Academy of Management Journal, 57(1), p. 301-320.
- Ben Nasr, H., Boubaker, S., & Rouatbi, W., 2015, “Ownership Structure, Control Contestability and Corporate Debt Maturity”, Journal of Corporate Finance 35, p. 265-285.
- Bessler, W., & Thies, S. (2007). The long-run performance of initial public offerings in Germany. Managerial Finance, 33(6), p. 420-441.
- Bhabra, H. S., & Pettway, R. H. (2003). IPO prospectus information and subsequent performance. Financial Review, 38(3), p. 369-397.
- Boissin, R., & Sentis, P. (2014). Long-run performance of IPOs and the role of financial analysts: some French evidence. The European Journal of Finance, 20(2), p. 125-149.
- Boubaker, S., (2007). Ownership-control discrepancy and firm value: Evidence from France, Multinational Finance Journal, 11 (3&4), p. 211-252
- Boubaker, S., & Labégorre, F., (2008). Le recours aux leviers de contrôle: le cas des sociétés cotées françaises, Finance, Contrôle et Stratégie, 11 (3), p. 96-124.
- Boubaker, S. & Labégorre, F., (2009). Ownership and control structure of French listed firms, Bankers, Markets & Investors, 101, p. 5-19.
- Boubaker, S., & Labégorre, F. (2008). Ownership structure, corporate governance and analyst following: A study of French listed firms. Journal of Banking and Finance, 32(6), p. 961-976.
- Boubaker, S., Rouatbi, W., Saffar W., 2017, The Role of Multiple Large Shareholders in the Choice of Debt Source, Financial Management, 46 (1), p. 241-274
- Bouzouita, N., Gajewski, J. F., & Gresse, C. (2015). Liquidity benefits from IPO underpricing: ownership dispersion or information effect. Financial Management, 44(4), p. 785-810.
- Brav, A., & Gompers, P. A. (1997). Myth or reality? The long‐run underperformance of initial public offerings: Evidence from venture and nonventure capital‐backed companies. Journal of Finance, 52(5), p. 1791-1821.
- Brennan, M. J., & Franks, J. (1997). Underpricing, ownership and control in initial public offerings of equity securities in the UK. Journal of Financial Economics, 45(3), p. 391-413.
- Carter, R. B., & Dark, F. H. (1990). The use of the over-allotment option in initial public offerings of equity: Risks and underwriter prestige. Financial Management, p. 55-64.
- Carter, R. B., Dark, F. H., & Singh, A. K. (1998). Underwriter reputation, initial returns, and the long‐run performance of IPO stocks. Journal of Finance, 53(1), p. 285-311.
- Chahine, S., & Filatotchev, I. (2008). The effects of venture capitalist affiliation to underwriters on short-and long-term performance in French IPOs. Global Finance Journal, 18(3), p. 351-372.
- Chan, K., Wang, J., & Wei, K. J. (2004). Underpricing and long-term performance of IPOs in China. Journal of Corporate Finance, 10(3), p. 409-430.
- Claessens, S., Djankov, S., Fan, J. P., & Lang, L. H. (2002). Disentangling the incentive and entrenchment effects of large shareholdings. Journal of Finance, 57(6), p. 2741-2771.
- Cronqvist, H., & Nilsson, M. (2003). Agency costs of controlling minority shareholders. Journal of Financial and Quantitative Analysis, 38(4), p. 695-719.
- Degeorge, F., & Derrien, F. (2001). Les déterminants de la performance à long terme des introductions en bourse: le cas français. Banque et Marchés, 55, p. 8-18.
- Derouiche, I., Sassi, S., & Toumi, N. (2018). The control-ownership wedge and the survival of French IPOs. Journal of Applied Accounting Research, 19 (2), p. 271-294.
- Ducassy I., & Guyot A. (2017) Complex ownership structures, corporate governance and firm performance: The French context. Research in International Business and Finance, 39 (PA), p. 291-306
- Dyck, A., & Zingales, L. (2004). Private benefits of control: An international comparison. Journal of Finance, 59(2), p. 537-600.
- El Ghoul, S., Guedhami, O., Lennox, C. S., & Pittman, J. (2015). External versus internal monitoring: The importance of multiple large shareholders and families to auditor choice in Western European firms.
- Espenlaub, S., Garrett, I., & Mun, W. P. (1999). Conflicts of interest and the performance of venture-capital-backed IPOs: A preliminary look at the UK. Venture Capital: an International Journal of Entrepreneurial Finance, 1(4), p. 325-349.
- Faccio, M., & Lang, L. H. (2002). The ultimate ownership of Western European corporations. Journal of Financial Economics, 65(3), p. 365-395.
- Faulkender, M., & Wang, R. (2006). Corporate financial policy and the value of cash, Journal of Finance, 61, p. 1957-1990.
- Gompers, Paul A., Joy Ishii, and Andrew Metrick, 2010, Extreme governance: An analysis of dual class firms in the United States, Review of Financial Studies 23, p. 1051-1088.
- Goergen, M., Khurshed, A., & Mudambi, R. (2007). The long-run performance of UK IPOs: can it be predicted?. Managerial Finance, 33(6), p. 401-419.
- Goergen, M., Khurshed, A., & Renneboog, L. (2009). Why are the French so different from the Germans? Underpricing of IPOs on the Euro New Markets. International Review of Law and Economics, 29(3), p. 260-271.
- Grossman, S. J., & Hart, O. D. (1980). Takeover bids, the free-rider problem, and the theory of the corporation. The Bell Journal of Economics, p. 42-64.
- Grossman, S. J, & Hart, O. D. 1988. One share-one vote and the market for corporate control. Journal of Financial Economics 20 (1/2): p. 175-202.
- Guedhami, O., & Mishra, D. (2009). Excess control, corporate governance and implied cost of equity: International evidence. Financial Review, 44(4), p. 489-524.
- Harris, M., & Raviv, A. (1988). Corporate governance: Voting rights and majority rules. Journal of Financial Economics, 20, p. 203-235.
- Harvey, Campbell R., Karl V. Lins, and Andrew H. Roper, 2004, The effect of capital structure when expected agency costs are extreme, Journal of Financial Economics 74, p. 3-30.
- Jain, B. A., & Kini, O. (1994). The post‐issue operating performance of IPO firms. Journal of Finance, 49(5), p. 1699-1726.
- Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), p. 305-360.
- Judge, W. Q., Witt, M. A., Zattoni, A., Talaulicar, T., Chen, J. J., Lewellyn, K.,... & Yamak, S. (2015). Corporate governance and IPO underpricing in a cross‐national sample: A multilevel knowledge‐based view. Strategic Management Journal, 36(8), p. 1174-1185.
- Kim J., and Pukthuanthong K., and Walker T. (2008). Leverage and IPO under-pricing: High-tech versus low-tech IPOs. Management Decision, 46(1), p. 106-130.
- La Porta, R., Lopez‐de‐Silanes, F., & Shleifer, A. (1999). Corporate ownership around the world. Journal of Finance, 54(2), p. 471-517.
- Leland, H. E., & Pyle, D. H. (1977). Informational asymmetries, financial structure, and financial intermediation. Journal of Finance, 32(2), p. 371-387.
- Lemmon, M. L., & Lins, K. V. (2003). Ownership structure, corporate governance, and firm value: Evidence from the East Asian financial crisis. Journal of Finance, 58(4), p. 1445-1468.
- Levis, M. (1993). The long-run performance of initial public offerings: The UK experience 1980-1988. Financial Management, p. 28-41.
- Lin, C., Ma, Y., Malatesta, P., & Xuan, Y. (2011). Ownership structure and the cost of corporate borrowing. Journal of Financial Economics, 100 (1), p. 1-23.
- Lins, K. V., (2003), Equity ownership and firm value in emerging markets, Journal of Financial and Quantitative Analysis 38, p. 159-184.
- Ljungqvist, A. P. (1997). Pricing initial public offerings: Further evidence from Germany. European Economic Review, 41(7), p. 1309-1320.
- Loughran, T., & Ritter, J. R. (1995). The new issues puzzle. Journal of Finance, 50(1), p. 23-51.
- Masulis, R.W.; Wang, C.; Xie, F., 2009, Agency problem at dual-class companies. Journal of Finance, 74, p. 1697-1727.
- McConnell, J. & Servaes, H. (1990). Additional evidence on equity ownership and corporate value, Journal of Financial Economics 27, p. 595-612.
- Michaely, R., & Shaw, W. H. (1994). The pricing of initial public offerings: Tests of adverse-selection and signaling theories. The Review of Financial Studies, 7(2), p. 279-319.
- Morck, R., Shleifer, A., & Vishny, R. W. (1988). Management ownership and market valuation: An empirical analysis. Journal of Financial Economics, 20, p. 293-315.
- Nenova, T. (2003). The value of corporate voting rights and control: A cross-country analysis, Journal of Financial Economics 68, p. 325-351.
- Ritter, J. R. (1991). The long‐run performance of initial public offerings. Journal of Finance, 46(1), p. 3-27.
- Roosenboom, P., & Schramade, W. (2006). The price of power: Valuing the controlling position of owner–managers in French IPO firms. Journal of Corporate Finance, 12(2), p. 270-295.
- Shleifer, A., & Vishny, R. W. (1997). A survey of corporate governance. Journal of Finance, 52(2), p. 737-783.
- Smart, S., Thirumalai, R., & Zutter, C. (2008). What’s in a vote? The short- and long-run impact of dual-class equity on IPO firm values. Journal of Accounting and Economics, 45, p. 94-115.
- Smart, S., & Zutter, C. (2003). Control as a motivation for underpricing: A comparison of dual- and single-class IPOs. Journal of Financial Economics, 69: p. 85-110.
- Stehle, R., Ehrhardt, O., & Przyborowsky, R. (2000). Long‐run stock performance of German initial public offerings and seasoned equity issues. European Financial Management, 6(2), p. 173-196.
- Stulz, R. (1988). Managerial control of voting rights: Financing policies and the market for corporate control, Journal of Financial Economics 20, p. 25-54.
- Torres, J. P., Bertín, M. J., & López-Iturriaga, F. J. (2017). Corporate control and firm value: The bright side of business groups. Journal of Family Business Strategy, 8(2), 99-108.
Appendices
Notes biographiques
Sabri Boubaker est professeur de finance à l’EM Normandie Business School et chercheur affilié à l’Institut de Recherche en Gestion (Université de Paris Est). Il est titulaire d’un doctorat en finance de l’Université de Paris Est (2006) et un diplôme HDR (Habilitation à diriger des recherches de doctorat) en 2010 de la même université. Il a récemment publié de nombreux articles académiques dans des revues internationales avec comité de lecture, notamment Financial Management, Journal of Corporate Finance, Journal of Banking and Finance, Journal of International Money and Finance, Journal of Economic Dynamics and Control, International Review of Financial Analysis, European Financial Management Journal, et Journal of International Financial Markets, Institutions and Money.
Alexis Cellier est Diplômé de l’EDHEC (École des hautes études commerciales du Nord) et docteur en sciences de gestion en cotutelle entre l’UCLouvain FUCaM Mons (anciennement Fucam Facultés universitaires Catholique de Mons – Belgique) et de l’université de Perpignan (France), Alexis Cellier est actuellement maître de conférences à l’UPEC (Université Paris Est Créteil) et membre du laboratoire IRG (Institut de Recherche en Gestion - EA 2354). Ses domaines de recherches incluent la microstructure des marchés financiers, la responsabilité sociale des entreprises et la finance d’entreprise. Ces recherches ont été publiées dans des revues internationales, Cahier économiques de Bruxelles, European Financial Management, Journal of Applied Business Research, Finance Contrôle & Stratégie, et Journal of Banking and Finance. Il a aussi plusieurs contributions à des ouvrages collectifs.
Riadh Manita est professeur associé de comptabilité et d’audit à la NEOMA Business School. Il est titulaire d’un doctorat de l’Université de Franche Comté (2005) en France et d’un diplôme d’expertise comptable de l’ISCAE Tunisie (2000). Il a publié plusieurs articles académiques dans des revues internationales à comité de lecture, notamment M@n@gement, Journal of Applied Accounting Research, Annals of Operation Research, International Journal of Business et Gestion 2000. Il a également publié de nombreux articles professionnels, principalement dans « Revue Française de Comptabilité”. Dr. Manita est également co-auteur de plusieurs ouvrages et a publié plusieurs chapitres d’ouvrages en comptabilité et audit publiés chez des éditeurs prestigieux tels que Nathan, De Boeck, Hermes et AFNOR.
Narjess Toumi est professeur assistant de finance à la Al-Baha University (KSA). Elle est titulaire d’un doctorat en finance de l’Université de Paris Est (2018) et d’un master en actuariat et finance de l’Institut des hautes études commerciales de Sousse (Université de Sousse). Ses recherches portent sur la finance d’entreprise, la gouvernance d’entreprise et les introductions en bourse. Elle a publié plusieurs articles dans des revues internationales à comité de lecture, telles que Journal of Applied Accounting Research, Journal of Management and Governance et Gestion 2000.
Appendices
Notas biograficas
Sabri Boubaker es profesora de finanzas en EM Normandie Business School e investigadora en el Institut de Recherche en Gestion (Universidad de París Est). Tiene un doctorado. en Finanzas de la Universidad de París Est (2006) y un título HDR (Habilitación para Supervisar la Investigación Doctoral) en 2010 de la misma universidad. Recientemente ha publicado muchos artículos académicos en revistas internacionales como Financial Management, Journal of Corporate Finance, Journal of Banking and Finance, Journal of International Money and Finance, Journal of Economic Dynamics and Control, International Review of Financial Analysis, European Financial Management Journal, y Journal of International Financial Markets, Institutions and Money.
Alexis Cellier graduado del Edhec (Escuela de Estudios Comerciales Superiores del Norte) y doctor en ciencias de gestión en cotutela entre el UCLouvain FUCaM Mons (anteriormente Facultades de la Universidad Católica Fucam de Mons - Bélgica) y la Universidad de Perpignan (Francia), Alexis Cellier es Profesor titular de la UPEC (Universidad Paris Est Créteil) y miembro del laboratorio IRG (Instituto de Investigación de Gestión - EA 2354). Sus áreas de investigación incluyen microestructura de los mercados financieros, responsabilidad social corporativa y finanzas corporativas. Esta investigación ha sido publicada en revistas internacionales, Brussels Economic Papers, European Financial Management, Journal of Applied Business Research, Finance Contrôle & Stratégie, Journal of Banking and Finance y contribuciones a libros.
Riadh Manita es profesor asociado de contabilidad y auditoría en NEOMA Business School. Tiene un doctorado. de la Universidad del Franco Condado (2005) en Francia y un diploma de contador colegiado de ISCAE Túnez (2000). Ha publicado varios artículos académicos en revistas internacionales de referencia como M@n@gement, Journal of Applied Accounting Research, Annals of Operation Research, International Journal of Business y Gestion 2000. También ha publicado muchos artículos profesionales principalmente en “Revue Française de Comptabilité ”(CPA Journal en Francia). El Dr. Manita también es coautor de varios libros y ha publicado varios capítulos de libros de contabilidad y auditoría publicados en prestigiosas editoriales como Nathan, De boeck, Hermes y AFNOR.
Narjess Toumi es profesor asistente de finanzas en la Universidad de Al-Baha (KSA). Ella tiene un doctorado en Finanzas de la Universidad de París Est (2018) y una maestría en ciencias actuariales y finanzas del Institut des Hautes Etudes Commerciales de Sousse (Universidad de Sousse). Sus intereses de investigación incluyen finanzas corporativas, gobierno corporativo y ofertas públicas iniciales. Ha publicado varios artículos en revistas internacionales como Journal of Applied Accounting Research, Journal of Management and Governance y Gestion 2000.
List of tables
Table 1
Summary statistics of variables
This table depicts the summary statistics of variables used in our model. Panel A reports descriptive statistics on the governance variables and firm characteristics used in our regressions. Panel B presents descriptive statistics on performance measures. The sample includes 402 French lPOs over the period 1997–2011. Appendix I reports definitions for all the variables used in our analysis.
Table 2
IPO performance measures by excess control
Table 3
Pearson correlations
Table 4
The impact of control-ownership structure on the post-IPO long-term performance (CARs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 5
The impact of control-ownership structure on the post-IPO long-term performance (BHRs)
In this table, the dependent variable is market-based performance, measured as the BHRs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash-flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 6
The impact of control-ownership structure on the post-IPO long-term performance (WRTs)
In this table, the dependent variable is market-based performance, measured as the WRTs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 7
Sensitivity tests
This table reports the results of sensitivity tests. For sake of parsimony, only results using the dependent variable CAR 25 months after IPO are reported in this table. In columns 1, 2 and 3, we incorporate additional control variables used in prior studies namely auditor prestige, hot period and number of risks. In column 4, we use expropriation (UCO–UCF) as an alternative proxy for excess control. In column 5, we exclude firms listed during the crisis period (2007–2008). Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is a dummy variable which equal one if the underwriter’s quality ranking, compiled as the total proceeds of IPOs underwritten by the lead underwriter during the sample period in percent of total proceeds, exceeds the third quartile, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 8
Descriptive statistics for subsamples and Difference-Between-Means (Medians) t-statistics
Table 9
Does control-ownership structure differently impact the post-IPO long-term performance of High tech firms? (CARs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is equal to one for firms in high-tech industries, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5% and 1% respectively.
Table 10
Does control-ownership structure differently impact the post-IPO long-term performance of High tech firms? (BHRs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is equal to one for firms in high-tech industries, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.
Table 11
Does control-ownership structure differently impact the post-IPO long-term performance of High tech firms? (WRTs)
In this table, the dependent variable is market-based performance, measured as the CARs accumulated for 13, 25, 37 and 61 months after the IPO. The independent variables, measured at IPO year, include the degree of excess control rights (Excess_control), and (Excess_ratio) equal to control rights over ownership rights. the ultimately controlling shareholder’s cash flow rights (UCF), Also included are (LnAge) is the age of the IPO at the offering (in years), (LnAsset) is the log of total assets, (Ln_Size) is the number of shares, multiplied by the offer price, (Initial_Return) is the percentage change between the offer price and the first closing price, and (Underwriter) is a dummy variable which is equal to one if the lead underwriter is among the 25% most active ones, and zero otherwise. We construct this ranking using IPO proceeds over the sample period. (High-Tech) is equal to one for firms in high-tech industries, and zero otherwise. p-values are in parentheses; *, **, and *** indicate significance at the 10%, 5%, and 1% levels, respectively.