Purpose

The purpose of this paper is to assess whether greater participation of venture capital/private equity (VC/PE) funds in the companies’ capital structure at the moment of initial public offering (IPO) contributes to the reduction in the underpricing of their shares.

Design/methodology/approach

Descriptive statistics, correlation analysis, mean difference test and cross-sectional regression were used. The final sample consisted of 89 companies making IPO in Brasil Bolsa Balcão between 2007 and 2017.

Findings

The participation of VC/PE funds was shown to mitigate the effect of information asymmetry on managers and shareholders, thus reducing the underpricing of companies at the moment of IPO (H1). However, the expectation that a greater participation of these funds promotes further reduction in a potential underpricing (H2) was not confirmed.

Research limitations/implications

One can highlight the small amount of IPOs during the sampling period due to the occurrence of international and national economic crises, as well as the difficulty in obtaining information on the participation of VC/PE funds in the companies’ capital structure.

Practical implications

It was observed that information asymmetry had a mitigating effect from the presence of these funds in the companies, which can improve the pricing of their shares, decrease the costs and make volume captions viable for investments, in addition to giving credibility to the market information effectiveness.

Originality/value

This study differs from others in that it assesses not only the influence of VC/PE funds on the reduction of the underpricing of IPO shares, but also the participation of these funds in the capital of these companies.

Between 2007 and 2017, the Brazilian economy underwent periods of oscillation with increase and decrease in the gross national product, thus directly affecting the basic interest rates (SELIC rate) and hampering the access to credit (Bacen, 2018a, b). In periods of crisis, one can highlight the role played by funds of venture capital (VC) and private equity (PE). These funds work as a financial alternative for ventures with high potential of growth and risk. In fact, investments made by these funds were R$13.3bn in 2014, R$18.5bn in 2015 and R$11.3bn in 2016 (ABVCAP, 2018).

Initial public offering (IPO) is among the most common forms of VC/PE investment funds and whose life cycle lasts, on average, from two to seven years. According to Cumming and Johan (2008), the presence of VC/PE investment funds in companies contributes to reducing the information asymmetry in the market. In order to do so, fund managers submit the prospective companies to due diligence processes and other analyses for assessment of risks and opportunities. Therefore, companies receiving such investments are viewed as more reliable by non-fund investors, thus creating a quality stamp to their IPO.

According to Miller and Reilly (1987), underpricing is a way for market operators to compensate for the lack of information at the moment of IPO. Also, Sonoda (2008) materialises this concept by stating that underpricing is an under-estimation of or discount in share prices in relation to the actual market price. As for IPO, specifically, this occurs when its offering price is lower than that on the first day of negotiation. Therefore, underpricing can be understood as the difference between closing price and offering price of IPO share on the first day of negotiation. For Ribeiro (2005), Gioielli (2013) and Sonoda (2008), the presence of VC/PE funds decreases the information asymmetry between owners and investors so that the effect of underpricing on IPOs can be mitigated in companies relying on the participation of these funds.

According to Belghitar and Dixon (2012), companies with prior participation of VC/PE funds are considered to be of low risk. Therefore, emitters do not need to under-price their IPO shares in order to attract investors. It is also thought that VC/PE funds regularly include IPO companies in their portfolios so that they have a strong incentive to establish a reliable reputation. This enables them to access the IPO market in the future under favourable conditions. Finally, the reputation of credibility helps these funds to establish a strong relationship with all offering participants, namely, auditors, insurers, pension fund managers and institutional investors.

In view of the above, the objective of this study is to assess whether the presence of VC/P funds in invested companies contributes to reducing the underpricing of their shares at the moment of IPO. The resulting hypotheses are:

H1.

Companies with prior participation of VC/PE funds have less underpricing of IPO shares compared to those without such participation.

H2.

The greater the prior participation of VC/PE funds in these companies’ capital, the less the underpricing of IPO shares.

Therefore, the population of companies making IPO in the Brasil Bolsa Balcão (B3) between 2007 and 2017 were considered. The hypotheses were verified by using descriptive statistics, correlation analysis, mean difference tests and cross-sectional regression, including their assumptions. Differently from other studies, this one is concerned with capturing the sensibility regarding the participation of VC/PE funds in the companies’ capital structure before their IPO. Either high or low level of property has different impacts on the underpricing of these companies. From the market’s perspective, this fact suggests that the simple presence of these funds cannot have the expected effect on the mitigation of a potential asymmetry between managers and owners, in addition to other conflicts regarding the market information effectiveness. Also, the recent crisis in the country’s economy might shed light on the relevance of these funds as alternative development sources in the Brazilian market.

Underpricing can be identified by means of abnormal positive returns from shares in the initial negotiations. This fact means that the company is evaluated for a value lower than the potential one, thus enabling profitability for investors in the first days of negotiation. Therefore, underpricing is regarded as an indirect cost for the company because part of the offer is not collected. This phenomenon is termed in the finance literature as “leaving cash on the table” and can be measured by the number of shares multiplied by the difference between closing price in the first day of negotiation and the initially offered one (Ibbotson, 1975; Miller & Reilly, 1987; Tiniç, 1988; Leal & Lemgruber, 2000; Loughran & Ritter, 2002).

There is still no definitive explanation on underpricing. A view on this theme supports that underpricing occurs due to market imperfections regarding the IPO process, that is, the existence of information asymmetry among investors. For Benveniste and Spindt (1989) and Spatt and Srivastava (1991), the book building acts as a mechanism for data extraction so that adverse selection among investors can be reduced. These data are useful in the pricing of shares and set accuracy to the value being determined. The book-building practice enables the underwriters to obtain more information from better-informed investors (Cornelli & Goldreich, 2003). For Drake and Vetsuypens (1993), on the other hand, underpricing occurs due to legal liability. Underwriters use the book-building process in order to avoid legal problems in case of lack of clarification on something relevant in the IPO prospects. According to Taranto (2002), in turn, underpricing occurs due to the fact that executives who possess stock options can have fiscal benefit with the reduction of share prices in the first day of negotiation.

With regard to the concept of VC/PE funds, Takahashi (2006) states that VC funds are those invested in companies operating in new markets (NM), preferably the ones with a bold and entrepreneurial stance. In addition, VC funds enable companies to position themselves in a competitive market environment despite their difficulties to obtain credit lines due to their low level of net equity (Engel, 2002; Leite & Souza, 2001). On the other hand, investments of PE funds are aimed at large-sized companies with high growth potential. This investment is directly negotiated between funds and managers by means of a private placement. The financing of companies by means of VC/PE funds is aimed at providing capital for them and aggregating value through administrative participation (Barry, 1994; Takahashi, 2006; Sonoda, 2008).

In Brazil, VC funds are regulated under the normative instruction number 209/94 (CVM, 1994), whereas PE funds are regulated under the normative instruction number 391/03 (CVM, 2003). According to Carvalho, Furtado and Ribeiro (2006), the participation of VC/PE funds in the Brazilian market began in the 1990s due to the country’s economic stability resulting from the Real Plan. The second cycle of this industry occurred in the 2000s when 71 VC/PE funds invested in 306 companies. Today, there are 157 VC/PE funds in Brazil (ABVCAP, 2018).

VC/PE funds have the reputation of being involved in the control of the company’s activities. Wruck (2008) states that these funds add new management methodologies to the market, which, in turn, are applied to the invested companies. The VC/VE funds make investments in target companies, that is, those with management problems or inefficiency. According to Williamson (1967) and Jensen (1986), these funds understand that excess of free cash flow and high capitalisation are signs of poor management by the company.

The market’s positive perception of the presence of VC/PE funds in companies is related to the theory of agency. According to Jensen and Meckling (1976), financing decisions are affected by the fact that the companies’ owners delegate the management to fund agents. In this way, it is not possible to ensure that the fund agent will always make a great financial decision under the company managers’ point of view. Mechanisms of control, corporate management, variable remuneration for managers, indebtedness, among others, are established in order to conciliate the interests of managers with those of shareholders. This set of measures is termed agency costs. The theory of agency points to the existence of information asymmetry between managers and owners.

Barry, Muscarella and Peavy (1990) found that companies with VC/PE fund investment are better positioned in the financing market before IPO compared to those with no participation of these funds in their capital structure. It is believed that companies belonging to the portfolio of these funds provide superior quality in the moment of IPO as a result of the reduced agency conflicts. For Saito and Silveira (2008), this occurs because of the concentration of functions as the same person plays the roles of manager and owner, which condenses the efforts for maximisation of the shareholders’ wealth.

Another positive aspect highlighted in the literature regarding the presence of VC/PE funds in the company’s capital structure is the mitigation of information asymmetry. This occurs when two or more fund agents make an economic transaction in which one of the parts involved holds more information than the others. Information asymmetry is one of the main market failures occurring when it is difficult or very expensive to obtain relevant and precise data on the quality of traded goods. This fact alters the market balance and resource allocation (Akerlof, 1970; Lambert, Leuz, & Verrecchia, 2011).

Rock (1986) identified that non-informed investors are more inclined to invest in IPO shares with underpricing as they can wait longer until the shares become well valued. In turn, Megginson and Weiss (1991) pointed to the decrease in the information asymmetry when companies have participation of VC/PE funds in their capital structure. Therefore, one expects that these companies’ IPO shares suffer less underpricing than those without participation of these funds.

Another aspect affecting the underpricing of shares is their negotiation in the differentiated segment of the NM of B3 (2017). Companies issuing shares in this segment are subject to more rigid rules of corporate management and transparency, thus reducing the information asymmetry between the parts. Fernandes (2007) associated the performance of companies in this segment to the reduction of underpricing, since the market provides reliability and protection to the company’s minority shareholders. In addition, companies with better earnings margin before interest and taxes (EBIT) are more likely to better perform during the IPO period, which reduces potential noises on the entity and mitigates information asymmetry-related problems (Fernandes, 2007).

The issue of information asymmetry still points to the occurrence of two types of problems, namely, adverse selection and moral hazard (Akerlof, 1970; Spence, 1973; Stiglitz, 1985). According to Lima, Rodrigues, Silva, and Silva (2012), adverse selection occurs because the manager has information unknown by the investors, whereas moral hazard refers to the likelihood of an economic agent changing his or her behaviour depending on the context in which the economic transaction occurs. In turn, Galozzi (2014) states that managers have information on the company which is unknown to the market. Therefore, in the IPO period, shares are negotiated with higher price because of the optimism on partial information. This may lead to underpricing, but the presence of VC/PE funds can mitigate these types of problems in order to decrease the information asymmetry and consequently both adverse selection and moral hazard.

As for the signalling impact of VC/PE funds on the market, it should be clarified that the theory of signalling evidences the existence of indicators, which enable to decrease the problem of information asymmetry (Spence, 1973). Megginson and Weiss (1991) pointed out that the presence of VC/PE funds provides signals to the market about the quality of the company, thus reducing information asymmetry and allowing investors to attest the quality of a possible IPO. According to the authors, this occurs due to factors such as: commitment of the VC/PE funds to the invested companies; relationship of fund agents with auditors, underwriters and investment managers; and reputation of the VC/PE funds.

Minardi, Ferrari, and Tavares (2013) stated that the presence of VC/PE funds can provide signals of good future performance as these fund models have a short lifetime and need resources to keep their business. In this way, they need to identify promising companies and good managers in order to develop and expand their business. Moreover, it is important to ensure that these companies have a good performance over time as they are always making IPOs and ensuring the quality of the next ones.

For Galozzi (2014), there are both well- and ill-informed investors about the company. In order to attract those with low-quality information and ensure successful IPOs, the shares are offered at prices systematically lower than the expected value. This fact implies greater underpricing or high cost of placement. As a way of mitigating this undesired effect, the founder should have a high level of property in the company following the offer in order to signal to the market that he or she believes in the company’s success in the future. Another way of avoiding such high costs is to have VC/PE funds in the company’s capital structure, thus mitigating noises and ensuring the veracity of the share values.

Finally, another aspect influencing the IPO decision is the market moment. In a study conducted by Baker and Wurgler (2002), they found that companies tend to issue shares during windows of opportunity in which the own capital cost is relatively lower than that of other sources of capital. Therefore, North-American companies tend to issue more shares than debt securities when the stock market value is higher than its patrimonial value. This moment is defined as market timing.

Lucas and McDonald (1990) showed that companies opt to make IPOs at periods of heated market, which adds value to negotiated shares. The prediction of the market timing is associated with the ability to analyse the share price movement in the market based on the macro-economic view of exchange and taxation policies (Fama, 1970). For Baker and Wurgler (2002), the theory of market timing shows that the company’s capital structure is the result of past attempts by managers to take advantage of favourable conditions of the stock market, in which new shares are issued when they are perceived as over-valued by the market and re-purchased when perceived as under-valued. The performance of IPO shares is related to the current market moment. A lower underpricing is expected in periods of high appreciation (Oliveira & Kayo, 2015).

This can be evidenced by the existing negative relationship between market-to-book value rate and leverage of the company. As the market value of the company surpasses its book value, new shares are issued to the detriment of debts. The opposite occurs when the market value is lower than the book value. Underpricing of shares in the IPO period is equally affected by the ideal market moment. When there is a large (or small) number of IPOs, this period is termed as hot (or cold) market. The hot market usually occurs when companies are well evaluated, resulting in a high number of IPOs. According to Rossi and Marotta (2010), 83 per cent of the Brazilian companies made IPOs in hot market periods and 17 per cent of them opened their capital in cold market periods between 2004 and 2007. The total volume of resources obtained in hot market periods was higher by 17 per cent than that in the cold market periods. Ritter (1984) adds by stating that there is a higher incidence of underpricing in the periods of hot market.

Table I shows a synthesis of these studies in which underpricing is the dependent variable. The expected signals of independent and control variables are supported by the above-cited theories. In sum, one can observe that there are divergent results on the prior participation of VC/PE funds in the reduction of underpricing of shares following the IPO period (H1). Foreign studies showed a great number of significantly negative results, as expected, whereas national studies reported no statistically significant results. With regard to control variables, Megginson and Weiss (1991) found more consistent results for market share, IPO lead co-ordinator and company age before IPO. Most of the other studies had no statistical significance and this fact corroborates the need for new studies on the theme.

Table I

Synthesis of the results of empirical studies

InternationalNational
Megginson and Weiss (1991) Bruton, Chahine and Filatotchev (2009) Mogilevsky and Murgulov (2012) Altynnikova and Sarampasina (2017) Fernandes (2007) Sonoda (2008) Galozzi (2014) 
VariablesTypeTheoryExpected signSignSig. (%)SignSig. (%)SignSig. (%)SignSig. (%)SignSig. (%)SignSig. (%)SignSig. (%)
Presence of VC/PE funds before IPOITA & IA111+1ns+ns  
Logarithm of IPO volume capturedCMT+nsns  +1  +1+10
Market share of the IPO lead co-ordinatorCTS1ns+10    nsns
Company’s age before IPOCAS1nsnsns+ns+1  
Market return rate in the IPO periodCMT+        ns  +ns
EBIT margin in the year before IPOCIA        10    
New market dummy for IPOCIA        5    

Notes: I, independent; C, control; IA, information asymmetry; TA, theory of agency; AS, adverse selection; TS, theory of signalling; MT, market timing

The population of interest consists of all companies opening their capital (IPO) in B3 between January 2007 and December 2017. The final sample comprised 89 companies, with 58 having participation of VC/PE funds in their capital structure before IPO and 31 having no type of investment. Evolution of these companies is presented in Table II. Capital IQ is the main database, being produced by the Standard & Poor’s. However, Economatica and Comdinheiro databases were also used for complementing the missing data.

Table II

Sample evolution

DescriptionTotal
Initial sample112
(−) Companies with EBIT margin greater than 100%1
(−) Companies without information on their capital structure before IPO12
(−) Companies without EBIT margin10
(=) Final sample89

Data were assessed by using descriptive statistics, correlation analysis, cross-sectional regression and mean difference test. The variables assessed and their descriptions are presented, respectively, in the regression model of the first equation and Table III. Initially, the descriptive statistics of the data are presented in order to understand populations and samples. According to Fávero, Belfiore, Silva and Chan (2009), descriptive statistical measures are aimed at studying central position measurements (i.e. mean, median, mode and dispersion), standard deviation, variance, amplitude, asymmetry and kurtosis.

Table III

Description of the variables

CodeDescriptionTypeExpected signFormulaComponents
UNDUnderpricingDependentnaUND=(P1P0)/P0P1=closing price on the first selling day
P0=offer price on the day of IPO
PFUNPrior participation of VC/PE funds before IPOIndependentPFUN=NAF/NTANAF=number of shares belonging to VC/PE funds before IPO
NTA=total number of circulating shares after IPO
VOLVolume of IPO shares soldControlVOL=Ln (VV)Ln=Naperian logarithm
VV=Volume of IPO shared sold
MKCMarket share of IPO lead co-ordinatorControlMKC=NOC/NTONOC=number of share offers managed by the lead co-ordinate
NTO=total number of share offers in the market
IDACompany’s age before IPOControlIDA=Ln (AE)Ln=Naperian logarithm
AE=Years of the company’s existence before IPO
RMMarket return rate in the IPO periodControl+RM=(IBOV1−IBOV0)/IBOV0IBOV0=Ibovespa points on the day before IPO
IBOV1=Ibovespa points on the day of IPO
MEEBIT margin in the year before IPOControlME=EBIT/RevenuesEBIT before IPO
Revenues=net sales income in the year before IPO
DNMNew market dummy for IPOControlDummy for differentiated listing segment of new market in the stock exchange1=If the company belongs to the new market on the day of IPO
0=If the company does not belong to the new market on the day of IPO

Next, one has verified signal, value and statistical significance of the correlation. Correlation analysis consists in assessing two variables and how they related to each other in order to quantify the power and direction of the existing relationship between them (Dinardo & Johnston, 2001; Fávero et al., 2009). In the present study, correlation analysis had two objectives: to verify the existence of a potentially high correlation between dependent and independent/control variables and to identify a potentially high multicollinearity between independent/control variables. If it exists, then the regression model should confirm it.

Next, the regression model (see the first equation) is applied to test the hypothetical assumptions with normality and homoscedasticity of residuals, linearity of parameters and absence of high multicollinearity between explicative variables (Corrar, Paulo, & Dias Filho, 2006; Sweeney, Williams and Anderson, 2013). The application of the cross-sectional regression was aimed at verifying H1: companies with prior participation of VC/PE funds have less under-priced shares during the IPO period compared to those without such participations. As a robustness test, a non-parametric mean difference test using independent samples was performed:

(1)

where β0 is the linear coefficient; β1–7 the angle coefficients; i the companies; u the error term.

Finally, the H2, in which the higher the participation of VC/PE funds in these companies the less the underpricing of their shares during the IPO period, was tested by using the Wilcoxon’s sign test for companies with participation of VC/PE funds in their capital structure before IPO. In this test, the numerical values of the difference between each pair were calculated, resulting in three possible conditions: increase (+), decrease (−) or equality (=). Once all differences between the values obtained for each pair of data have been calculated, the differences were ordered by their absolute value (i.e. without sign) so that the original values could be replaced by their respective position in the ordered scale. The test of the hypothesis of equality between the groups is based on the sum of positions of negative and positive differences. The null hypothesis states that mean values are equal, whereas the alternative hypothesis states that the mean values are not equal (Wilcoxon, 1945; Siegel & Castellan, 2006).

Of the companies with participation of VC/PE funds in their capital structure before IPO, one can identify those with positive underpricing. Next, these companies were distributed in quartiles in which the first (Q1) and fourth (Q4) quartiles were those with less and greater participation of VC/PE funds, respectively. After this classification, the mean difference test is applied to underpricing of the companies (Q4–Q1).

Tables AI and AII present the main characteristics of the companies making IPOs, which were grouped depending on having or not having VC/PE funds, respectively. In turn, Table IV briefly lists other overall characteristics of the IPOs in our sample. One can observe that lead co-ordinating banks UBS Pactual, Itaú BBA and Credit Suisse are those extensively operating in the IPO market. However, by analysing the quality of these positions and considering IPOs with participation of VC/PE funds, it is noted that Merrill Lynch is the most highlighted. Another interesting aspect is the concentration of positions in the years of 2007 and 2011, which were the periods preceding the systemic crises initiated in the USA and Europe by contagion effect. From 2014 on, there was a low incidence of IPOs in Brazil as a result of economic problems, which recovered in 2017. One can also highlight that the majority of IPOs occur in the differentiated segment of corporate management of the NM. At last, about 60 per cent of the IPOs occur in companies older 20 years – a fact explaining one of the reasons for the reduction of information asymmetry.

Table AI

Main characteristics of IPOs of companies without prior VC/PE fund investments

YearCompanyListing segmentVolume R$Date of IPOOperating segmentLead co-ordinator
2007RodobensNM91,935,67031 January 2007Building constructionJP Morgan
 Camargo CorrêaNM116,011,47031 January 2007Building constructionCredit Suisse
 GVTNM359,916,15016 February 2007Fixed telephonyCredit Suisse
 AnhangueraN2187,898,54012 March 2007Educational servicesCredit Suisse
 HeringerNM59,911,11012 April 2007Fertilisers and pesticidesUBS Pactual
 JHSFNM43,512,16012 April 2007Building constructionCredit Suisse
 MetalfrioNM60,138,70013 April 2007Electrical equipmentUBS Pactual
 BematechNM151,073,11019 April 2007Computers and equipmentItaú BBA
 AGRANM131,162,08026 April 2007Building constructionCredit Suisse
 CremerNM143,800,15030 April 2007Medications and other productsMerrill Lynch
 SofisaN184,027,9102 May 2007BanksUBS Pactual
 ParanáN11,313,36014 June 2007BanksUBS Pactual
 Cruzeiro do SulN197,059,84026 June 2007BanksUBS Pactual
 DaycovalN1173,614,25029 June 2007BanksUBS Pactual
 IndusvalN239,084,13012 July 2007BanksCredit Suisse
 RedecardNM670,726,05013 July 2007Diverse financial servicesUnibanco
 ABCN291,562,50025 July 2007BanksUBS Pactual
 SpringsNM47,767,64027 July 2007Threads & fabricsCredit Suisse
 ProvidênciaNM48,725,64027 July 2007Diverse materialsUBS Pactual
 General ShoppingNM45,306,27030 July 2007Real estate businessJP Morgan
 Sul AméricaN253,450,3305 October 2007Insurance servicesUnibanco
Subtotal  2,697,997,06021  
2009Sul AméricaN2932,766,2507 October 2009BanksSantander
 CetipNM261,788,03028 October 2009Diverse financial servicesItaú BBA
 Subtotal 1,194,554,2802  
2010EcoRodoviasNM78,087,3801 April 2010Toll road servicesItaú BBA
 Julio SimõesNM25,610,20022 April 2010Road transportBradesco BBI
 RenovaN25,357,88013 July 2010Electrical energySantander
 Subtotal 109,055,4603  
2011SonaeNM66,473,4403 February 2011Real estate businessCredit Suisse
 AutometalNM51,233,0607 February 2011Road materialsSantander
 Subtotal 117,706,5002  
2012UnicasaNM35,366,07025 April 2012Real estate businessBTG Pactual
 Subtotal 35,366,0701  
2013BiosevNM14,865,49015 April 2013Sugar and alcoholBTG Pactual
 Subtotal 14,865,4901  
2017PetrobrásNM766,169,44615 December 2017Oil exploration, refinement and distributionCitibank
 Subtotal 766,169,4461  
 Total 4,935,714,30631  
Table AII

Main characteristics of IPOs of companies with prior VC/PE fund investments

YearCompanyListing segmentVolume R$Date of IPOOperating segmentLead co-ordinator
2007PDGNM107,740,91026 January 2007Building constructionUBS Pactual
 TecnisaNM189,215,7001 February 2007Building constructionCredit Suisse
 IguatemiNM250,514,7607 February 2007Real estate businessUBS Pactual
 São MartinhoNM163,826,23012 February 2007Diverse foodsUBS Pactual
 JBSNM244,733,26029 March 2007Meat and derivativesJP Morgan
 EvenN145,270,1002 April 2007Building constructionItaú BBBA
 PineN196,212,8002 April 2007BanksCredit Suisse
 BR MallsNM136,210,4105 April 2007Real estate businessUBS Pactual
 SLCNM72,237,40015 June 2007Diverse foodsCredit Suisse
 Log-InNM238,891,17021 June 2007Waterway transportUBS Pactual
 EZTECNM120,477,79022 June 2007Building constructionUBS Pactual
 MarfrigN177,383,41029 June 2007Meat and derivativesMerrill Lynch
 TegmaNM67,776,3003 July 2007Road transportJP Morgan
 MinervaNM149,000,60020 July 2007Meat and derivativesCredit Suisse
 TPINM157,819,93023 July 2007Toll road servicesCredit Suisse
 MRVNM360,083,93023 July 2007Building constructionUBS Pactual
 MultiplanNM97,159,89027 July 2007Real estate businessUBS Pactual
 EstácioNM56,751,60030 July 2007Educational servicesUBS Pactual
 TendaN1124,169,07015 October 2007Building constructionItaú BBBA
 TrisulN149,015,55015 October 2007Building constructionMorgan Stanley
 HelborNM17,408,86029 October 2007Building constructionBradesco BBI
 Subtotal 2,821,899,67021  
2008HypermarcasNM81,819,30018 April 2008Diverse productsCitibank
 Le Lis BlancNM17,993,25029 April 2008Fabrics, clothing and footwearMerrill Lynch
 Subtotal 99,812,5502  
2009VisanetNM670,726,05029 June 2009Diverse financial servicesUnibanco
 DirecionalNM29,792,72019 September 2009Building constructionSantander
 FleuryNM163,257,66017 December 2009Medical and diagnostic servicesBradesco BBI
 Subtotal 863,776,4303  
2010AliansceNM25,689,72029 January 2010Real estate businessBTG Pactual
 BR PropertiesNM45,561,0508 March 2010Real estate businessItaú BBA
 MillsNM52,496,22016 April 2010Serviços diversosItaú BBA
 RaiaNM301,211,32020 December 2010MedicationsItaú BBA
 Subtotal 424,958,3104  
2011ArezzoNM309,359,7002 February 2011Fabrics, clothing and footwearItaú BBA
 QGEPNM146,964,8509 February 2011Oil exploration/refinementItaú BBA
 International MealNM15,631,4009 March 2011Restaurant and similar servicesBTG Pactual
 Time For FunNM62,814,86013 April 2011Events and show productionCredit Suisse
 Magazine LuizaNM143,468,8002 May 2011Household appliancesItaú BBA
 Brazil PharmaNM72,685,70027 June 2011MedicationsBTG Pactual
 QualicorpNM141,035,71029 June 2011Medical and diagnostic servicesMerrill Lynch
 TechnosNM47,172,7801 July 2011AccessoriesItaú BBA
 AbrilN234,496,80026 July 2011Journals, books and magazinesCredit Suisse
 Subtotal 973,630,6009  
2012Companhia LocaçãoNM9,029,30023 April 2012Automobile rentingItaú BBA
 Subtotal 9,029,3001  
2013LinxNM251,882,2106 February 2013Software and servicesCredit Suisse
 AluparN297,371,03024 April 2013Electric energyItaú BBA
 SmilesNM332,832,24029 April 2013Loyalty programmesCredit Suisse
 BB SeguridadeNM1,430,522,49029 April 2013Insurance servicesBB Investments
 CPFLNM10,776,44019 July 2013Electric energyMerrill Lynch
 AnimaNM81,554,28028 October 2013Educational servicesItaú BBA
 SERNM73,033,52029 October 2013Educational servicesBTG Pactual
 CVCNM55,323,1709 December 2013Travels and TourismItaú BBA
 Subtotal 2,333,295,3808  
2014Ouro FinoNM52,291,12921 October 2014Medications and productsJP Morgan
 Subtotal 52,291,1291  
2016Imagem DiagnósticosNM122,334,64728 October 2016Medical and diagnostic servicesItaú BBA
 Subtotal 122,334,6471  
2017MovidaNM68,711,4878 February 2017Automobile rentingBradesco BBI
 Hermes PardiniNM213,521,31714 February 2017Medical and diagnostic servicesItaú BBA
 AzulN2292,446,46611 April 2017Air transportItaú BBA
 CarrefourNM509,619,07420 July 2017FoodsItaú BBA
 OmegaNM93,796,91631 July 2017Electric energyBTG Pactual
 IRBNM318,090,88131 July 2017Insurance servicesBradesco BBI
 CamilNM179,141,09428 September 2017Diverse foodsMerrill Lynch
 BKNM369,823,38718 December 2017Restaurant and similar servicesItaú BBA
 Subtotal 2,045,150,6228  
 Total 7,701,028,01658  
Table IV

General characteristics of IPOs

General characteristicsTotal sampleWith prior participation of VC/PE fundsNo prior participation of VC/PE funds
Lead co-ordinatorNo. of firmsTotal (%)RankNo. of firmsTotal (%)Participation (%)RankNo. of firmsTotal (%)Rank
UBS Pactual2427.01st1424.17.4046th1032.31st
Itaú BBA2123.62nd1831.010.4445th39.73rd
Credit Suisse1719.13rd915.512.2203rd825.82nd
Merrill Lynch66.74th58.625.9091st13.25th
Bradesco BBI55.65th46.95.6217th13.25th
JP Morgan55.65th35.217.1972nd26.54th
Santander44.56th11.70.0109th39.73rd
Unibanco33.47th11.70.00211th26.54th
Citibank22.28th11.70.01210th13.25th
BB Investimento11.19th11.70.0188th0nana
Morgan Stanley11.19th11.711.5684th0nana
Total89100na58100nana31100 
General characteristicsTotal sampleWith prior participation of VC/PE fundsNo prior participation of VC/PE funds 
IPO yearNo. of firmsTotal (%)RankNo. of firmsTotal (%)RankNo. of firms.Total (%)Rank 
200742471st21361st21681st 
2008226th236th0   
2009565th355th263rd 
2010784th474th3102nd 
201111122nd9162nd263rd 
2012226th127th134th 
20139103rd8143rd134th 
2014117th127th0nana 
20150nana0nana0nana 
2016117th127th0nana 
20179103rd8143rd134th 
Total89100na58100na31100n/a 
General characteristicsTotal sampleWith prior participation of VC/PE fundsNo prior participation of VC/PE funds 
Listing segmentNo. of firmsTotal (%)RankIPO yearNo. of firmsTotal (%)No. of firmsIPO yearRank 
NM71801st50861st21681st 
N19102nd592nd4133rd 
N29103rd353rd6192nd 
Total89100 58100 31100  
General characteristicsTotal sampleWith prior participation of VC/PE fundsNo prior participation of VC/PE funds
Company’s age before IPO (in years)No. of firmsTotal (%)No. of firmsTotal (%)No. of firmsTotal (%)
<51112814310
5–91213101726
10–201315610723
>20536034591961
Total891005810031100

With regard to the descriptive statistics of the variables composing the Equation (1), one can see in Table V that the mean underpricing is 2.3 per cent in the period, with minimum and maximum values of −37 and 43 per cent, respectively. The participation of VC/PE funds has a mean value of 7.1 per cent in the total sample. Minimum value of 0 represents the 31 companies without participation of these investment funds before IPO. In addition, lead co-ordinators represent a mean value of 18.2 per cent of the total number of offers in the market. At last, it is worth highlighting that the mean EBIT margin was 22 per cent in the year before IPO of the companies.

Table V

Descriptive statistics

VariableObservationsMeanSDMinimumMaximum
UND890.0230330.109351−0.370.43
PFUN890.0719060.15661200.94
VOL8918.352921.14114.0921.08
MKC890.1820220.0996600.020.32
IDA892.981911.13815204.72
RM89−0.0000030.013934−0.0474810.031618
ME890.2221340.203148−0.0310.78

Table VI shows the correlation analysis of the variables in the econometric model in Equation (1). One can see that the greater the participation of VC/PE funds in the companies’ capital structure, the less their underpricing in the IPO period. This result is in accordance with H1. In addition, contrary to the expected, there is a significantly positive relationship between volume of IPO shares and underpricing. At last, no significantly high positive correlation was identified between explicative variables, which should point to a lack of high multicollinearity in the tests of assumptions in the cross-sectional regression model.

Table VI

Correlation analysis

UNDPFUNVOLMKCIDARMMEDNM
UND1       
PFUN−0.2309 [0.0295]1      
VOL0.2724 [0.0098]−0.1311 [0.2206]1     
MKC0.1142 [0.2864]−0.1937 [0.0690]−0.0070 [0.9482]1    
IDA0.0541 [0.6144]−0.1576 [0.1403]0.0437 [0.6842]0.0995 [0.3535]1   
RM0.0653 [0.5432]−0.0819 [0.4454]0.0004 [0.9970]−0.0032 [0.9762]0.0038 [0.9721]1  
ME0.1238 [0.2479]−0.0958 [0.3720]−0.0079 [0.9412]−0.0859 [0.4234]−0.2271 [0.0323]0.0306 [0.7757]1 
DNM0.0346 [0.7473]−0.0258 [0.8107]0.1505 [0.1593]−0.0462 [0.6674]−0.0604 [0.5736]−0.2194 [0.0389]−0.0348 [0.7459]1

Notes: Upper values represent the level of correlation, whereas lower values in square brackets represent the significance level of the correlation. At last, the values in italic are statistically significant at the levels of 1 and 5 per cent

For analysis of the results in the cross-sectional regression model, it is necessary, before all, to test their assumptions. Although normality of the residuals was not identified, the Gauss–Markov theorem showed that estimators of ordinary least squares are still the best linear unbiased estimators as they have minimum variance (Gujarati, 2006). Moreover, the value of the variance inflation factor is 1.06, being lower than 10. This fact indicates lack of high multicollinearity between explicative variables. Furthermore, the Breusch–Pagan test indicates the presence of heteroscedasticity of the residuals, which was corrected by means of robust standard errors. The linearity of coefficients was verified by considering a significant econometric model as a whole, with F-test having a value of 2.26 per cent.

Table VII shows that there is a significantly negative relationship between prior participation of VC/PE funds in the capital structure and underpricing of companies in the IPO period. This fact confirms the theories of agency and information asymmetry. According to them, the presence of VC/PE funds in the company’s capital structure reduces the information asymmetry, thus mitigating potential conflicts between managers and shareholders. This occurs when the roles of manager and owner are played by the same person, which, in turn, condensates his or her efforts to maximise the shareholders’ wealth. It is worth highlighting that for each 1 per cent increase in the participation of VC/PE funds in the capital structure, there is a reduction of 0.10 per cent in the underpricing of the companies. Furthermore, this result is in accordance with Megginson and Weiss (1991), Bruton, Chahine and Filatotchev (2009) and Mogilevsky and Murgulov (2012). Therefore, H1 was observed.

Table VII

Cross-sectional regression analysis

VariablesCoefficientRobust SEt-statisticsp-value95% confidence interval
PFUN−0.10975580.049038−2.240.028−0.2073261−0.0121855
VOL0.02392450.0113032.120.0370.0014350.046414
MKC0.10888280.0488404−2.230.029−0.2060598−0.0117058
IDA0.00375030.00871640.430.668−0.01359250.0210932
RM0.40878450.81261320.500.616−1.2080612.02563
ME0.06824220.0664571.030.308−0.06398650.2004708
DNM0.00416840.02769830.150.881−0.05094250.0592794
Const−0.45659140.23257−1.960.053−0.91933270.0061499
Obs89
R20.1366
F(7, 81)2.50
Prob>F0.0226

Note: Values in italic are statistically significant at 5 per cent of level

With regard to the control variables, the significantly positive relationships between volume of IPO shares and IPO lead co-ordinator are contrary to those expected by the theories of market timing and signalling, respectively. These same results were also reported by Sonoda (2008) and Altynnikova and Sarampasina (2017). The other control variables had not statistical significance. In addition to the regression model test, a non-parametric mean difference test using independent samples was performed, indicating robustness. As a result, one can observe that the underpricing of companies without prior participation of VC/PE funds was statistically higher (p=0.2823) than that of invested companies before IPO, thus confirming H1.

Finally, Table VIII shows analysis of H2, which was performed by using the Wilcoxon’s sign test. Of the 58 companies having participation of VC/PE funds in their capital structure, 32 have negative or zero underpricing and 26 have positive underpricing prior IPO participation. These 26 companies with positive underpricing were classified into four quartiles (Q), in which Q1 contained companies with less participation of funds and Q2 contained those with greater participation. It was expected that the difference between Q4 and Q1 resulted in a statistically negative value different from zero. Companies in Q4 had less underpricing compared to those in Q1. However, the null hypothesis was accepted as the mean values were statistically equal, meaning that H2 could not be confirmed.

Table VIII

Mean difference test

Q4ObservationsRank sumExpected
0757.552.5
1747.552.5
Combined14105105
Unadjusted variance61.25  
Adjustment for ties−0.27  
Adjusted variance  60.98
H0  und (q4==0)=und(q4==1)
z  0.640
Prob>|z|  0.5220

In Brazil, the participation of VC/PE funds is increasingly more relevant as an option of financing for companies, mainly in view of the current economic recession scenario. IPO is among the most common ways of VC/PE fund investments. In this process, one can sometimes observe the occurrence of underpricing, that is, an under-evaluation of the prices of shares in relation to their real market price. Nevertheless, the presence of VC/PE funds invested in companies contributes to reducing the information asymmetry in the market by fund managers.

Therefore, the present study is aimed at assessing whether the presence of VC/PE funds in invested companies contributes to reducing the underpricing their shares in the IPO period. The resulting hypotheses were the following: H1 – companies with prior participation of VC/PE funds have less underpricing of IPO shares compared to those without such participation, and H2 – the greater the prior participation of VC/PE funds in these companies’ capital, the less the underpricing of IPO shares. In order to examine its pertinence to the Brazilian market, a final sample of 89 companies making IPO in B3 between 2007 and 2017 was considered. The tests applied were the mean difference test between companies with prior participation of VC/PE funds and those without such participation, descriptive statistics, correlation analysis and cross-sectional regression with validation of hypotheses.

As a result, H1 was confirmed. The statistically significant negative relationship of prior participation of VC/PE funds in the companies indicates to the market that these funds have an effective involvement with the corporate management. This fact can mitigate agency-related problems, thus reducing information asymmetry and consequently the under-evaluation of the company based on a value lower than the potential one in the IPO period. This result is supported by Megginson and Weiss (1991), Bruton et al. (2009) and Mogilevsky and Murgulov (2012), being characterised as an evolution in relation to the Brazilian studies conducted by Fernandes (2007) and Sonoda (2008).

With regard to H2, it was observed that it was not confirmed. Nevertheless, it should be highlighted that among the companies with participation of VC/PE fund, only 26 (45 per cent) had positive underpricing, which limits the sample size and may have influenced our results. In this way, this is the first original contribution of the present study showing that either a high or a low level of property has different impacts on the underpricing of these companies.

With regard to theoretical aspects, the present study contributes to the empirical analysis of the participation of VC/PE funds in the companies’ capital structure before the IPO period, thus being an instrument to mitigate the information asymmetry between managers and shareholders as well as to indicate the quality of these companies and re-affirm the reputation of these funds. As for the economic and commercial impacts, one can observe that this mitigating effect allows to better price the shares, which reduces costs and makes volume captions viable for investments, in addition to giving credibility to the market information effectiveness.

However, the present study has a limitation in that a small amount of IPOs was used during the sampling period because of national and international economic crises. In addition, one can highlight the difficulties in obtaining information on the participation of VC/PE funds in the companies’ capital structure, among other reasons, due to business combinations. At last, it is suggested that the relationship with other characteristics of VC/PE funds affecting the underpricing of the companies should be analysed, such as date of establishment, nationality and number of invested companies before IPO.

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