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A note on Brazilian IPOs performance in the long run

Abstract

This note examines the long-run performance of Brazilian IPOs based on a sample of 143 firms that went public between 2004 and 2013. There is no evidence that IPOs underperform the market in the 60 months after going public. An investor would have to put 12.6% more money in an investment that mimics the index than in the IPOs to achieve the same terminal wealth level five years later. IPOs with the highest initial returns have the worst aftermarket performance and there is mixed evidence that larger IPOs underperform the smaller IPOs in the five years subsequent to the offerings.

Keywords
IPO; long-run performance; wealth relative

Resumo

Esta nota examina o desempenho de longo prazo dos IPOs brasileiros com base em uma amostra de 143 empresas que abriram o capital entre 2004 e 2013. Não há evidências de que os IPOs tenham desempenho inferior ao do mercado nos 60 meses após a abertura de capital. Um investidor teria que investir 12,6 a mais em um fundo que replica o índice do que nos IPOs para alcançar o mesmo nível de riqueza cinco anos depois. IPOs com os maiores retornos iniciais têm um pior desempenho no longo prazo e há evidências mistas de que IPOs maiores têm desempenho inferior aos menores nos cinco anos subsequentes à oferta.

1. Introduction

The short-run underpricing of initial public offerings (IPOs) has been recognized for a long time in the financial literature. See, for instance, the empirical evidence in Ibbotson, Sindelar, and Ritter (1988)Ibbotson, R. G., Sindelar, J. L., & Ritter, J. R. (1988). Initial public offerings. Journal of Applied Corporate Finance, 1(2), 37-45. http://dx.doi.org/10.1111/j.1745-6622.1988.tb00164.x
http://dx.doi.org/10.1111/j.1745-6622.19...
, which shows that IPO initial returns, measured from the offering price to the first-day closing price are, on average, positive. More recently, Ritter (1991)Ritter, J. R. (1991). The long-run performance of initial public offerings. Journal of Finance, 46(1), 3-27. http://dx.doi.org/1Q.1111/j.154Q-6261.1991.tbQ3743.x
http://dx.doi.org/1Q.1111/j.154Q-6261.19...
pointed out that what appears to be underpricing in the short run may be overpricing when one focuses on the long run. He reports that a sample of 1,526 IPOs issued during 1975-84 in the U.S. substantially underperformed a set of comparable firms matched by size by as much as 29% in the three years after going public.

This note examines whether Brazilian IPOs underperform the market in the long run using a sample of 143 firms that went public between 2004 and 2013. To assess the long-run performance of IPOs, I employ five-year wealth relatives, defined as the ratio of one plus the five-year total return on IPOs and one plus the five-year total return on the Bovespa index. The selection of a five-year interval and the use of wealth relatives are motivated by the findings in Loughran (1993)Loughran, T. (1993). NYSE vs NASDAQ returns: Market microstructure or the poor performance of initial public offerings? Journal of Financial Economics, 33(2), 241-260. http://dx.doi.org/1Q.1Q16/Q3Q4-4Q5X(93)9QQQ6-W
http://dx.doi.org/1Q.1Q16/Q3Q4-4Q5X(93)9...
, who shows that IPO underperformance persists for approximately five years, and by the possibility to compare the results with those of previous studies.

My findings suggest that Brazilian IPOs do not underperform the market in the long run. The average five-year holding period return for the sample of IPOs is 49.17%, while the Bovespa index advanced, on average, 32.50% during this same five-year holding period, yielding a mean wealth relative of 1.126. Thus, an investor would have to put 12.6% more money in a passive fund that replicates the index than in the IPOs to achieve the same terminal wealth level after five years. We conclude, therefore, that the long-run underperformance is not a general phenomenon as the short-run underpricing widely documented in the literature. In six of the ten years analyzed, which concentrate 68.5% of the offerings, wealth relatives are greater than one. This finding does not support the “hot issue” market phenomenon.

The results also provide evidence that firms with the highest initial returns tend to have the worst aftermarket performance and that this tendency is somewhat stronger for larger issues than for smaller issues. They also point to marked differences in the long-run performance of individual industries. The fraction of secondary shares in the offering, by contrast, does not seem to impact the long-run performance.

Since the patterns highlighted in the previous paragraph are not independent of each other, I run a multiple linear regression to disentangle the effects of the several variables on five-year wealth relatives. According to the estimates, an increase of 5% in the adjusted initial return of an IPO would lead, ceteris paribus, to a reduction of 7.5-9.0 cents in the terminal wealth for each real invested in the IPO. The evidence concerning the impact of gross proceeds is mixed. The coefficient of the variable is statistically significant when the Ibovespa return in the 12 months preceding the IPO is included among the explanatory variables as a proxy for market sentiment, indicating that larger IPOs have a worse long-run performance than smaller ones, but it is not statistically significant when the Ibovespa return is replaced by the annual number of IPOs. The impact of Ibovespa returns in the three, six, nine or twelve months preceding the IPO, of the annual number of IPOs and of the percentage of secondary shares in the offering, by contrast, is not statistically significant.

This is not the first paper to analyze the long-run performance of Brazilian IPOs. Aggarwal, Leal, and Hernandez (1993)Aggarwal, R., Leal, R., & Hernandez, L. (1993). The aftermarket performance of initial public offerings in Latin America. Financial Management, 22(1), 42-53. https://www.jstor.org/stable/3665964
https://www.jstor.org/stable/3665964...
previously documented the underperformance of Brazilian IPOs over a horizon up to three years based on a sample of 62 offerings in 1980-1990. Leal (2004)Leal, R. P C. (2004). Using accounting information in prospectuses to invest in Brazilian IPOs during high inflation years. Latin American Business Review, 5(3), 65-90. http://dx.doi.org/10.1300/J140v05n03_04
http://dx.doi.org/10.1300/J140v05n03_04...
also investigated a sample of IPOs during the high-inflation years of 1979 through 1992, but he focused on whether accounting information in the prospectuses are useful to predict short-term returns and, to a lesser extent, long-term returns up to three years.

The rest of the note is organized as follows. Section 2 describes the dataset used in this study and discusses in detail the methodology employed to assess the long-run performance of IPOs. Section 3 presents the empirical results, highlighting the aftermarket performance by year of issuance, issue size, initial return, economic sector and the presence of secondary shares. Section 4 concludes.

2. Data and Methodology

The dataset used in this study consists of 143 firms that went public between 2004 and 2013. I exclude from the analysis seven Brazilian Depository Receipts, one issue whose total assets were below R$10 million and one IPO listed on the Bovespa Mais segment.

Table 1 presents the evolution of the annual number of IPOs in the sample in conjunction with the total number of offerings during the period under consideration and the aggregate gross proceeds, in millions of reais, including the overallotment option.

Table 1
Distribution of Initial Public Offerings by Year

First, we see that the total number of IPOs varies substantially over time. It increases from 7 offerings in 2004 to 64 in 2007. In the next two years of the sample, the number of IPOs falls, on average, to 5 offerings per year and remains modest from 2010 to 2013, amounting to no more than 11 offerings per year.

Second, we see that the companies examined in this paper are a comprehensive sample of the IPOs over the period 2004-2013, representing 94.1% of the number of firms that went public and 97.4% of the aggregate gross proceeds raised by all firms.

Third, we observe that there is, in general, a positive correlation between the annual number of IPOs and the corresponding aggregate gross proceeds, with the exception of 2008 and 2009.

Following Loughran and Ritter (1995)Loughran, T., & Ritter, J. R. (1995). The new issues puzzle. Journal of Finance, 50(1), 23-51. http://dx.doi.org/1Q.1111/j.154Q-6261.1995.tbQ5166.x
http://dx.doi.org/1Q.1111/j.154Q-6261.19...
, I calculate returns for two intervals: the initial return period, defined as month 0 and given by the length of time between the offering date and the end of the day in which the issue starts trading, and the five-year period after the IPO, encompassing the next 60 months following the first-day closing price. Each of these 60 months are defined as successive 21-trading day periods. For those companies that are delisted before the 60 months after the IPO, I assume that the proceeds are equally allocated among the surviving IPOs. Thus, the calculation of returns involves portfolio rebalancing.

To assess the long-run performance of IPOs, I employ five-year wealth relatives. Let rlt denote the monthly return of stock i on date i incorporating dividend payments, and rmt the Ibovespa return for the corresponding calendar month. Consider the holding period return for stock i up to date T, given by

R iT = t = 1 T 1 + r it 1

and, similarly, the holding period return on the market benchmark up to date T:

R mT = t = 1 T 1 + r mt 1 .

The wealth relative is computed as

WR = 1 + average 5 year total return on IPOs 1 + average 5 year return on the market benchmark ,

where the Ibovespa is taken as the market benchmark. A wealth relative greater than one indicates that IPOs overperform the market in the five-year period. By contrast, a wealth relative below one provides evidence that IPOs underperform.

3. Aftermarket Performance

The Appendix presents the holding period returns for IPOs and for the market benchmark for the 60 months following the first closing price, along with wealth relatives and the number of firms trading in each month. Is is worth emphasizing that, by the end of month 60, only 16 of the 143 firms that went public were delisted, which represents 11.2% of the initial sample of IPOs. The average five-year holding period return on firms going public is 49.17%, which is almost 17% greater than the five-year holding period return of 32.50% on the benchmark. Further, we see, for choices of intervals of 12, 24 and 36 months, that IPOs slightly underperform the market after the first-closing price, but by no more than 3%.

The close association between the holding period returns on IPOs and on the benchmark from month 0 to month 48, depicted in Figure 1(a), translates itself into a relative stability of the wealth relative. The deviation of the performance of IPOs from the benchmark becomes evident in the fifth year and is reflected in a sharp increase of the wealth relative, plotted in Figure 1(b). In sum, there is no evidence of underperformance of IPOs in the first four years and mild evidence of overperformance in the fifth year.

Figure 1
Evolution of Holding Period Returns and of Wealth Relative The top graph plots the average holding period return on 143 IPOs in 2004-2013 and on the market benchmark in the 60 months following the first-day closing price. The holding period return on the i-th IPO up to date τ is defined as Riτ=t=1τ1+rit1 and on the market benchmark as Rmτ=t=1τ1+rmt1, where rit and rmt are, respectively, the return on initial public offering i and the Ibovespa return in month t. The bottom graph depicts the evolution of the wealth relative, calculated as the ratio of one plus the average holding period return on IPOs and one plus the average holding period return on the benchmark.

3.1 Aftermarket Performance by Year of Seasoning

Table 2 examines the long-run performance of IPOs segmenting the offerings by year of seasoning. As the table indicates, the long-run overperformance of IPOs is not a general phenomenon over the years. Wealth relatives are greater than one for six of the ten years in the sample and range from a minimum of 0.791 in 2012 to 2.892 in 2008. The four years in which wealth relatives are below one concentrate 31.5% of the IPOs in the sample.

Table 2
The Long-Run Performance of IPOs by Cohort Year 2004-2013

Equipped with the mean wealth relative of 1.126, we can calculate the extra investment in a passive fund that follows the index required to achieve the same terminal wealth that would result from investing in the IPOs for five years. Suppose that an investor purchases the share of a representative IPO at the first closing price by R$ 10.00. After five years, she would have R$ 14.92. An investment of R$ 10.00 in the passive fund over the same time horizon would have produced R$ 13.25. This means that an investment of R$11.26 in the passive fund is required to receive the same R$ 14.92 after five years, or 12.6% more money than in the IPOs.

3.2 Aftermarket Performance by Issue Size and Initial Return

In Table 3, IPOs are categorized by gross proceeds of the offering in order to evaluate the long-run performance. The cutoffs were chosen to divide the sample into nine roughly equal-size subsamples. The table reveals that only three of the nine categories underperform the market in the long run and that, in contrast to the results presented in Ritter (1991)Ritter, J. R. (1991). The long-run performance of initial public offerings. Journal of Finance, 46(1), 3-27. http://dx.doi.org/1Q.1111/j.154Q-6261.1991.tbQ3743.x
http://dx.doi.org/1Q.1111/j.154Q-6261.19...
, there is no tendency for smaller offerings to have the worst aftermarket performance.

Table 3
Mean Performance Measures for 143 IPOs in 2004-2013 Categorized by Gross Proceeds

Table 3 also shows the adjusted initial return for the nine categories as well as the mean and median adjusted initial return. For the whole sample, the mean adjusted initial return equals 4.18% and is greater than the median of 1.97%. 86 of the 143 offerings, or 60.1%, have a positive adjusted initial return. All categories, with the exception of the issues that raised less than R$300 million, have a positive average adjusted initial return.

To the extent that average gross proceeds is a proxy of firm size and firm size can be interpreted as a measure of risk, we would expect larger issues to have smaller adjusted initial returns. The results in Table 3 do not seem to support this hypothesis. Indeed, we observe some tendency for larger firms to have a greater initial return.

Table 4 examines the relation between initial returns and aftermarket performance, measured by five-year wealth relatives, for initial return quintiles for both small and large offerings. We see that there is some tendency for firms with the highest adjusted initial returns to have the worst aftermarket performance. For all initial return quintiles, the five-year wealth relative is greater for issues raising less than R$465 million than for issues raising more than R$465 million.

Table 4
Aftermarket Performance for 143 IPOs in 2004-2013 Categorized by Initial Return and Size of the Offerings

3.3 Aftermarket Performance by Economic Sector

I turn now to the analysis of the long-run performance of IPOs categorized by economic sector. There are 52 industries represented in the sample. Banks and civil construction contain 13 and 20 offerings, respectively. In the remaining industries, there are at most eight offerings. For this reason, I employ a broader classification in Table 5, based on the economic sector of the firm, following the classification adopted by BM&FBovespa. Economic sectors with less than 10 offerings are grouped into a single category. Table 5 also presents the average amount raised by economic sector along with adjusted initial returns and five-year wealth relatives.

Table 5
Aftermarket Performance for 143 IPOs in 2004-2013 Categorized by Industry

An inspection of the table shows that there are marked differences in average gross proceeds across industries. The adjusted initial return also varies substantially across industries, ranging from a minimum of 1.43% for “all other firms” to a maximum of 7.99% for other financial institutions.

The wealth relatives suggest that there are significant differences in the long-run performance of individual industries. Half of the economic sectors underperform the market in the long run. Transport and construction (other than civil construction) has the worst long-run performance, with a wealth relative of 0.822, while cyclical consumption has the best performance among the eight industries, with a wealth relative of 1.571.

Cyclical consumption firms, which have the best long-run performance, have a mean adjusted initial return below average. However, the negative association between initial returns and five-year wealth relatives, apparent from Table 4, does not hold for other economic sectors.

3.4 Aftermarket Performance by the Fraction of Secondary Shares

In Table 6, IPOs are categorized by the percentage of secondary shares in the offering. At first glance, it might be tempting to assume that a high fraction of secondary shares in the offering provides a negative signal about the future prospects of the company and that, ceteris paribus, the greater the percentage of secondary shares, the worse the long-run performance of the company.

Table 6
Aftermarket Performance Categorized by the Percentage of Secondary Shares for 143 IPOs in 2004-2013

However, if shareholders willing to add liquidity to their investments are particularly risk averse and strive to guarantee the successful completion of the IPO, they may be more conservative in setting the initial price range. Thus, the effect of secondary shares in the long-run performance of IPOs is a priori ambiguous.

Table 6 reveals that there is not a monotone relation between the fraction of secondary shares in the offering and five-year wealth relatives. IPOs with at least 80% of secondary shares have the best long-run performance with a wealth relative of 1.471, whereas the worst long-run performance is for those IPOs that include both primary and secondary shares and for which the percentage of secondary shares does not exceed 20%.

3.5 Regression Results

The preceding analysis suggests that there is some tendency for firms with the highest adjusted initial returns to have the worst aftermarket performance and that this tendency is somewhat stronger for larger issues. Moreover, it provides no evidence that, in years in which the number of new issues is heavier, IPOs tend to underperform. These patterns are in principle not independent of each other. Panel A of Table 7 reports the results of a multiple linear regression with the five-year wealth relative as the dependent variable and the adjusted initial return, the logarithm of gross proceeds, the annual number of IPOs and the percentage of secondary shares as explanatory variables in order to disentangle the effects of the several variables on the long-run performance of new issues.

Table 7
Ordinary Least Squares Regression Results with the Five-Year Wealth Relative as the Dependent Variable, for 143 IPOs in 2004-2013

The adjusted R2 equals 0.046, smaller than the value of 0.070 reported by Ritter (1991)Ritter, J. R. (1991). The long-run performance of initial public offerings. Journal of Finance, 46(1), 3-27. http://dx.doi.org/1Q.1111/j.154Q-6261.1991.tbQ3743.x
http://dx.doi.org/1Q.1111/j.154Q-6261.19...
in a regression with three-year wealth relatives, indicating that the model is capable of explaining only a small part of the variability in five-year wealth relatives. The results of the ordinary least squares regression confirm the absence of impact of the annual number of IPOs on the long-run performance. The coefficient on the annual number of IPOs (divided by 100) equals -0.469 and it is not statistically significant at any reasonable level of significance, as indicated by the associated p value of 0.213 in parenthesis.

In addition, we observe that the coefficient on the adjusted initial return of -0.015 is negative and barely statistically significant at the conservative level of 10%, corroborating the previous evidence in Table 4. It is also economically significant. An investment of one real in an IPO at the upper bound of the fourth initial return quintile, for example, produces 12 cents less than the same investment in an IPO with an initial return equal to the average of 4.18 (0.015 X (12.49 - 4.18)).

The coefficient on gross proceeds is numerically negative, but its impact, in contrast to the effect of the adjusted initial return, is not statistically different from zero, as indicated by the p value of 0.476. Finally, we see that the percentage of secondary shares is not statistically significant, suggesting that this variable has no effect on the long-run performance of IPOs.

To check the robustness of the regression results, I replace the annual number of IPOs by alternative variables that should be correlated with IPO activity in Panel B of Table 7. Specifically, I employ the Ibovespa return from the three, six, nine and twelve-months preceding the offering date.

Overall, the results are not very sensitive to the measure of IPO activity employed. The coefficient on the adjusted initial return varies from -0.018 to -0.017 in Panel B, compared with -0.015 in Panel A. The p value in the preferred specification (when the Ibovespa returns in the twelve preceding months are used), with the highest R2, is somewhat smaller than in Panel A and equals 0.071. Hence, the adjusted initial return remains statistically significant only at the 10% level.

Turning now to the Ibovespa return in the months prior to the IPO, we see that its coefficient is virtually zero regardless of the interval employed. The coefficient fluctuates between 0.001 and 0.003 as we move from the three- to the twelve-month return and the associated p values oscillate from 0.313 to 0.882. The coefficients, therefore, are not significant regardless of the measure of IPO activity employed, suggesting that the returns in the months preceding the IPO are not related to the long-run performance of new issues.

The coefficient on gross proceeds remains numerically negative and it is of the same order of magnitude of that reported in Panel A, but turns out to be statistically significant at the 10% level in the preferred specification with the twelve-month Ibovespa return preceding the offering date among the explanatory variables. Finally, we observe a tiny increase in the coefficient of the percentage of secondary shares, which is still not statistically significant in all specifications.

4. Conclusion

This note assessed the long-run performance of 143 Brazilian IPOs in 2004-2013. This is a comprehensive sample of the firms that went public over this period, representing more than 90% of the offerings. The results do not provide evidence that new issues underperform the market in the five years after going public. The average five-year holding period return on IPOs is 49.17%, roughly 17% greater than the holding period return on the benchmark, which equals 32.50%, yielding a mean wealth relative of 1.126. Hence, an investor would have to invest 12.6% more money in a passive fund that follows the index than in the IPOs to have the same terminal wealth level five years later.

The results, therefore, contrast with the findings of the international literature, which documents the tendency of IPOs to underperform in the long run. They also suggest that firms with the highest initial returns have a worse performance in the long-run and provide mixed evidence about the tendency of larger IPOs to underperform smaller offerings in the long run. Other variables such as the annual number of IPOs, the Ibovespa return in the months preceding the offering and the percentage of secondary shares in the IPO do not seem to have any impact on the aftermarket performance.

  • JEL Codes G11,G14

Appendix.

Table A-1
Abnormal Returns for Initial Public Offerings in 2004-2013

References

Publication Dates

  • Publication in this collection
    17 May 2021
  • Date of issue
    Oct-Dec 2020

History

  • Received
    02 July 2019
  • Accepted
    14 Feb 2020
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