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This paper aims to examine the impact of initial public offering (IPO) grading on earnings management by Indian companies in their IPOs. Specifically, it investigates whether earnings management significantly differs in the pre-IPO grading regime and post-IPO grading regime. Further, it examines whether earnings management significantly differs between high-graded and low-graded IPOs.

The cross-sectional modified Jones model is used to obtain the discretionary accruals, a proxy for earnings management. The impact of IPO grading on earnings management is assessed using multiple regression analysis.

Earnings management is significantly lower in graded IPOs as compared to the ones that are not graded. Further, among the graded IPOs, the high-graded IPOs exhibit lower earnings management as compared to the low-graded IPOs. The findings are robust to the use of an alternative measure for discretionary accruals.

IPO grading in India is a unique certification mechanism, introduced for the first time in any market. This paper establishes the efficacy of this mandatory certification mechanism in reducing earnings management. The findings could be valuable to issuer companies, investors and market regulators.

The purpose of this paper is to examine the relevance of information, transparency and information efficiency in short-run performance of new issues. The current research evaluates the short-run performance of IPOs during 2005-2012, which even includes the recessionary period. The present study evaluates the impact of informational variables on first-day returns.

The short-run performance of the IPOs is measured through market adjusted excess return. A structural equation model (SEM) has been designed to identify how information influences the short-run performance of IPOs.

The results of structural model reveal that the sale of promoters’ stake and underwriters’ reputation are the major contributors towards information and are found to be highly significant statistically. The model also shows that the issue size (a component of information) is statistically insignificant at 5 per cent. The model suggests that the availability of information has negative impact on the first day returns indicating that the issuer which disclose maximum information to the public get lower returns on the listing day and hence, their issues are less underpriced.

The present study has a contribution in investment decisions for global investors, as the participation of international investors is common in IPOs of emerging markets. The findings of the study are expected to be useful to the practitioners in predicting the pricing of IPOs based on the informational variables influencing their performance.

The purpose of this paper is to focus on examining the first day returns of initial public offerings (IPOs) and the role of information on their performance. The study tries to optimize the returns of the new issues during 2005-2012 with risk as a constraint.

The initial returns are measured through the market-adjusted excess return and the risk associated with the new issue is measured through underwriters’ reputation. The returns have been optimized through a mixed integer linear problem using the Maple software.

The previous studies show that various informational variables affect the listing day returns significantly. The results of the present study indicate that the mean of initial returns for IPOs during 2005-2012 is 18.03 and the mean risk for these issues is 0.46. The findings also suggest that the optimal returns are obtained in the pre-recession era (2005-2008) and the value for the same is 50.02 percent.

The current study contributes in the investment decisions for global investors as every investor wants to maximize his/her returns. The optimal returns with risk as a constraint will help the investors in improving their investment decision as a prudent investor does not aim solely at maximizing the expected return of an investment but is also interested in optimizing with the minimization of risk.

India is one of the largest IPO markets in the world. However, IPO research in the developing world is limited. The purpose of this paper is to test the performance of Indian IPOs based on sponsored vs non-sponsored issues. The authors classify the IPO sample into venture capital (VC) and private equity (PE) sponsored issues and non-sponsored ones and include key operating characteristics as performance predictors.

The dependent variable is the buy-and-hold abnormal returns. The study uses key operating characteristics such as market capitalization, net sales, earnings before interest, taxes, depreciation and amortization, depreciation and amortization, price-to-book, asset turnover and leverage. A cross-sectional analysis is applied to test the long-run performance.

Sponsored IPO issues convey favourable information to investors about future earnings and prospects of the firm. The findings indicate that sponsored issues and, in particular PE sponsored issues are perceived by investors as having a positive impact on the operational performance of firms that the PE firms are involved in relative to the constituents of the index and this superior operational performance over time also leads to relatively better performing share prices. There are significant differences in terms of market size, industry classification and key operating characteristics across the three groups of issues.

This study has had to deal with much smaller samples of PE and VC when compared to similar studies conducted in the developed markets such as the UK and the USA. Further robustness tests on the market performance using factor models posed a problem due to limitation of the availability of these factors.

For the capital markets investors and policy makers, this research demonstrates the increasingly important role that PE and VC funds play in the investment landscape in India. It exhibits the increasing investor confidence in the Indian capital markets.

Using a sample of Indian IPOs comprising VC sponsored and PE sponsored issues, this study analyses the performance of Indian IPOs in an emerging market setting. This study, thus, contributes to the limited IPO research undertaken in developing markets.

This paper aims to review, discuss and synthesize the literature focusing on the Indian initial public offering (IPO) market. Understanding the Indian IPO market can help answer broader corporate finance questions. The growing number of IPOs in the Indian context, coupled with the increasing importance of the Indian economy in the global market, makes this review an essential topic.

The systematic literature review methodology was adopted to review 111 papers published between 2002 and 2021. The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach during the review process. Additionally, the authors use a bibliometric review methodology to examine the pattern and trend of research in this area of interest. Furthermore, the authors conduct a critical review and synthesis of the top 20 papers based on citations. The authors also use a co-citation network and manual content analysis method to identify key research themes.

This review helps in identifying major themes of research in this area of interest. The authors find that majority of the research has focused on IPO performance whereas post-IPO performance needs critical attention as well. The authors develop a comprehensive framework and future research agenda based on their discussion.

Meta-analysis of the literature can be conducted to gain better insights into the findings of prior studies.

This review paper develops a comprehensive overview on Indian IPO market which can be of interest not only to Indian scholarship. India as an economy is increasingly gaining attention at the global level. Hence, the future research objectives as illustrated in the study can be of interest for the global scholarship also.

To the best of the authors’ knowledge, this is the first comprehensive review paper that examines, synthesizes and outlines the future research agenda on Indian IPO studies. This review can be useful for researchers, business policymakers, finance professionals and anyone else interested in the Indian IPO market.

Anchor investor (AI) regulation was introduced in 2009 by the Indian market regulator Securities and Exchange Board of India to facilitate the price discovery process during the book-building mechanism. This study aims to examine the aftermarket pricing performance of initial public offering (IPO) firms over the long-run period of up to 36 months after the listing date in the anchor investor regime.

The post-issue performance of 129 Indian IPOs issued from 2009 to 2014 is studied by using buy and hold abnormal returns, cumulative abnormal returns and wealth relatives approaches. This study presents the aftermarket performance indicators of Indian IPOs along with the comparative analysis between anchor-backed and non-anchor-backed IPO categories. Using multiple regression analysis, this study identifies the firm-level variables and issue characteristics that can explain long-term IPO performance.

This study reports that Indian IPOs continue to underperform in the long run in the anchor regulation era as well. However, anchor-backed IPOs are reported to underperform lesser than the IPOs not backed by anchor investment. Additionally, this study documents that the variables, i.e. offer size, grade, post-issue promoter holding and IPOs issued during hot IPO periods, are significant in explaining the 36-month aftermarket performance.

This study investigates the long-run aftermarket pricing performance of anchor affiliated IPOs in the Indian market context. Thus, it contributes to the limited primary markets’ research from emerging economies. Further, the results provide fresh evidence reaffirming the credibility of AI as an institutional investor for attestation of quality of the issues.

The purpose of this paper is to examine the relationship between corporate reputation and initial public offering (IPO) underpricing for a sample of 269 IPOs hitting the Indian capital market for the first time during the period ranging from April 1, 2007 to November 8, 2016.

The study is based on secondary data (of 269 Indian companies going public) obtained from websites of capital market, Chittorgarh and Securities and Exchange Board of India (from where prospectus of each company was downloaded individually to extract data on financial variables). The study devises the technique of multivariate regression analysis to arrive at the results.

The results of the study reveal that corporate reputation serves as a signal to naive investors that assures them of issuer company’s credibility, resulting in lower underpricing. In addition to it, the study also observes the level of gender diversity on Indian boards. It is disappointing to notice low level of female representation on Indian boards and the improvement if any made in the number of female directors on Indian boards is due to provisions of new companies’ act, 2013 that mandates at least one women director on the board of every listed company. Thus, females do not constitute a critical mass on Indian boards.

The current study scrutinizes the impact of corporate reputation on IPO underpricing only. Furthermore, the study analyzes the underpricing of only book built IPOs. Incorporating both book built and fixed price IPOs could have provided better insights into the issue.

The study outlines significant implications for managers of issuer company to portray company’s own reputation as a signal instead of showcasing borrowed reputation of external agents at the crucial juncture of going public.

Many signals portraying quality of the offering are sent by issuer company in public arena to make IPO launch a successful event. Among many such signals like underwriting reputation, auditor reputation, director’s and CEO’s reputation, the corporate audience has started giving more impetus to issuer company’s own reputation. Thus, financial academia witnessed a paradigm shift from external agents reputation to internal agent’s reputation and now the loci of interest has shifted to company’s own reputation. Giving emphasis to corporate reputation seems more relevant in emerging economies like India where naive investors rely on their own judgments while making investment decision who take clue from various signals to infer quality of the offer. It is momentous to observe whether reputation of the company acts as a conspicuous signal to decipher IPO quality. Furthermore, there hardly exists any empirical research directly examining the impact of corporate reputation on IPO underpricing in the Indian context. Hence, the present study is a modest attempt to fill this gap in literature.

The unique regulatory design of India provides us with the opportunity to disaggregate traditional initial public offering (IPO) underpricing into three categories: voluntary, pre-market and post-market. The presence of anchor investors in India makes it a compelling case to study. These individuals were introduced to bring transparency in the book building process, but their impact on pre-market and post-market underpricing was not foreseen. Therefore, the purpose of this paper is to evaluate the impact of anchor investors on the IPO underpricing after disaggregation and on the long-run performance of an IPO.

A sample covering 232 IPOs from a period of 2009–2018 is included. The empirical analysis explores the impact of various firm-specific as well as market-specific variables on IPO underpricing. The financial data for the empirical analysis are extracted from Prime database and websites of National Stock Exchange and Bombay Stock Exchange. To deal with the outliers effectively, this paper deploys “robust-regression.”

The study finds that investor’s subscription rate and voluntary underpricing impacts the pre-market but do not have any impact on the post-market while the age of the firm has a different impact on both the markets and the number of anchor investors have the same impact in both markets. Anchor investors’ participation increases the pre-market as well as post-market underpricing. Lastly, the long-term performance of IPOs backed by the anchor investors is high relative to the IPOs not subscribed to by the anchor investors.

This paper is believed to be the first attempt to study the impact of anchor investors on the disaggregated IPO underpricing. The findings of this study will have a great insight for the investors.

The purpose of this study is to examine the influence of earnings management during initial public offerings on the listing day returns.

The study collected data for 511 Indian IPOs that came between April 2003 and March 2019 for calculating earnings management. On the basis of the Cross Sectional Modified Jones Model 1995, the paper presents three proxies of earnings management as discretionary accruals (DA), discretionary current accruals (DCA) and discretionary long-term accruals (DLA). The study further used correlation and multiple regression analysis to assess the impact of earnings management on listing day returns.

The findings show that earnings management and listing day returns vary through issue-year and industry-type. Apart from it, the study reveals a greater contribution of short-term accruals in earnings management on the basis of higher DCA values. It also discloses that the aggregate level of earnings management (DA) influences listing returns, whereas DCA and DLA separately have no impact on the listing day returns of the Indian IPOs.

The findings are useful to potential investors and analysts to observe, assess and understand the quality of financial reports that are based on fallacious disclosure of accounting figures. The study also reflects the efficacy of Indian regulatory norms for IPOs in constraining earnings management and underpricing, thus providing meaningful insight to the policy makers and the regulators.

This study is distinguished by its focus on determining the influence of earnings management on listing day returns in Indian IPOs by using three earnings management proxies.

This study aims to examine earnings management around initial public offerings (IPOs) in India. It also explores the influence of issue characteristics on earnings management around the IPOs.

A sample of 511 IPOs that came during April 2003-March 2019 is studied for calculating earnings management for pre-issue, issue and post-issue years. Using Cross-Sectional Modified Jones Model, the paper presents earnings management on the basis of three proxies i.e. discretionary accruals, discretionary current accruals and discretionary long-term accruals. The influence of issue characteristics on earnings management practised around the IPOs is also observed through correlation and multiple regression analysis.

The paper finds that earnings management is abnormally high during the issue year compared with pre-issue and post-issue years. It also unveils that profitability, premium, age, and size of the issuer significantly determine the level of pre-issue and issue year earnings management practised by Indian IPO issuers.

The findings are useful to stakeholders (potential investors, analysts and regulators) to observe, assess and understand the quality of financial numbers that are based on fallacious disclosure of accounting figures. It provides insight into the possibilities of managed earnings around the issue that could influence investors’ decision-making. Further, the study reflects the efficacy of Indian regulatory norms for IPOs.

To the authors’ knowledge, it is the only Indian study that had used an extensive data set of about two decades to calculate earnings management during pre-issue, issue and post-issue years. The uniqueness of the study further lies in three proxies of earnings management representing short-term and long-term accruals. Moreover, it is the first study to observe the influence of IPO issue characteristics on earnings management.