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This paper aims to investigate the impact of the underwriters’ syndicate size (SS) and its structure on underpricing (UP), oversubscription rate, liquidity and volatility. The authors use a database of 185 initial public offers (IPOs) issued in India during the period 2012–2019.

The authors have used ordinary least squares regression and stepwise regression on cross-sectional data to construct the regression model for the dependent variables under consideration, namely, UP, subscription rate (SUB), listing day volatility and listing day liquidity.

The authors find that larger syndicates reduce UP. The authors also find strong evidence of a larger subscription rate for IPOs managed by larger syndicates, suggesting that larger syndicates generate more information in the market. Looking into the composition of investment banks in the syndicate, the authors find that syndicates comprising more lead managers and comanagers attract a higher subscription from potential investors. More book running lead managers and nonmanaging syndicate members help increase liquidity and reduce the volatility of IPO stocks on listing day. Additionally, the authors find that larger firms with reputed lead managers establish larger syndicates while venture-affiliated IPO firms prefer a smaller syndicate.

The findings would interest issuing firms, investors, intermediaries and policymakers engaged in formulating syndicates for better management of IPOs.

The study extends the present literature on IPO syndicates, particularly in the Indian context as an emerging economy. The study extended the present understanding of SS and composition, creating value for the issuers.

This study aims to investigate the impact of intellectual capital (IC) on investor demand (i.e. subscription rate). The rise of the knowledge economy motivates us to investigate how the value added by the IC of the issuing firms affects potential investors’ responses.

This study investigates the impact of IC on initial public offering (IPO) subscription rates using 234 IPOs from March 31, 2010 to March 31, 2021. This study uses multivariate regression, including year and industry dummies, and conduct robustness tests with industry subsamples. Additionally, this paper uses an alternative demand proxy (i.e. listing day returns) and two-staged least squares to address endogeneity.

This paper documents an inverse relationship between investor demand and human capital efficiency alongside a positive correlation between investor demand and structural capital efficiency. Additionally, IC efficiency positively affects listing day returns, with individual investor demand significantly driven by institutional investors.

This study uses Pulic’s (2000) methodology for measuring IC and examines whether it reduces information asymmetry in the IPO market and encourages investors to subscribe to an issue. This study holds significant implications for IPO issuing firms, investors and regulators regarding the IC disclosure in the prospectus.

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.

In the backdrop of emerging market setting of India, this study aims to attempt to identify how Institutional investors use sell side analyst outputs for their decision-making processes in light of inherent biases in their forecasts and recommendations. The study also conceptualizes the role of internal buy side teams in the process and try to figure out the key attributes and services provided by sell side analysts, which provide maximum value to the investors.

The study is centered upon in-depth semi-structured interviews of ten institutional investors from top Indian asset management companies covering a wide range of topics tied back to theoretical explanations. The data collected was transcribed, coded and analyzed using content analysis to ensure a systematic synthesis of point of view.

The findings show that internal analyst teams of institutional investors play a dominant role in terms of validation of sell side analysts’ outputs (given the inherent biases in sell side analyst forecasts). Further, the engagement of sell side analysts by the investors are determined not only through profitable recommendations but also on the basis of soundness of the investment rationale along with other services provided. Finally, this study puts into perspective, the critical role of analyst industry knowledge and access to company management (as opposed to analyst pedigree and forecast accuracy) for institutional investors decision-making.

The findings of the paper have profound implications for various stakeholders such as companies, sell side analysts, policy makers, researchers and students of finance in terms of detailed understanding of investment processes of institutional investors in the context of emerging markets like India, which have a different legal and regulatory set-up compared to developed markets. The authors also provide a critical perspective through an intriguing paradox that exists between finance theory and its relevance for actual practitioners.

To the best of the authors’ knowledge, this is the first study in India which look inside the “black box” of institutional investors and their decision-making process, especially with respect to how they use sell side outputs.

This study investigates the factors affecting corporate cash holdings for a sample of 598 Indian Micro, small and medium-sized enterprises (MSMEs) for nine years (2011–2020).

The system generalized method of moments (GMM) approach is used to examine the determinants of cash holdings in the Indian MSME context.

The article shows liquidity, cash flow, leverage, firm size, probability of financial distress and cash flow volatility significant in explaining cash holding decisions for MSMEs in India. No evidence of firm age and growth opportunities as determinants of cash holdings in Indian MSMEs has been found. In addition, strong evidence of cash flow volatility, cash flow and liquidity in differentiating the cash holding decisions in the service and manufacturing industry has been documented.

While earlier research has addressed this problem in developed nations, this is the first study that fulfills the need to investigate the variables that influence MSMEs' cash holding decisions in a developing economy like India.

The academic research into underpricing of initial public offerings (IPOs) offers many explanations, i.e. signalling, financial and market hypothesis. However, another set of information, namely, “Qualitative Factors” (along with financial and others), are largely reported by the issuing firms in the prospectus. However, to the best of the authors’ knowledge no such systematic study has been carried out on how firms’ qualitative factors impact the IPO valuation. This paper aims to addresses this gap.

Using a sample of 82 IPOs issued from 2014 to 2020, we investigate the issuing firm’s pattern of reporting qualitative factors. These qualitative factors are subjected to factor analysis. The authors classify all reported factors across firms into a few categories using principal component analysis. The authors also investigate the impact of these factors on IPO underpricing using OLS regression.

The authors find that the qualitative information relating to market leadership, established brand image and modern scalable information technology infrastructure significantly influences underpricing. The authors also document that market leadership and brand image are the influential reported quality factors that reduce underpricing. Moreover, location advantage, good customer relationship, established relationship with a client, track record of growth and profitability, experienced promoter and management team failed to influence underpricing.

The outcome of this piece of research offers additional signalling as an attestation of quality for the issue. The authors further argue that the amount of qualitative information disclosed by the managers in the prospectus to support the pricing should not be ignored.

This paper aims to explore how corporate diversification influences corporate cash holdings (CCH) in India. It also assesses CCH behavior and its determinants during crisis, stability and recovery periods.

The study uses the system generalized method of moments (System GMM) on 1684 non-financial firms listed on the National Stock Exchange during 2002–2022. Further analyses are carried out for group-affiliated firms based on investment cash flow sensitivity, agency costs and debt capacity.

The findings show that firm diversification (at the group level) results in a roughly 6% fall in cash ratio, thereby implying that diversified firms (diversified business groups) hold lower cash levels than specialized firms. The reduced cash balances are attributed to the financially unconstrained nature of diversified business groups, higher debt capacity, good governance behavior and active internal markets. Additionally, the authors observe a time-varying cash policy for diversified firms, with mean cash holdings being 2% higher during crisis periods. Moreover, the findings reveal that the inverse relationship between diversified firms and CCH is less pronounced for unrelated diversified firms (2% fall in cash ratio) than related diversified firms (5% fall in cash ratio).

To the best of the authors’ knowledge, this is the first study to examine the relationship between corporate diversification and CCH in India during both crisis and non-crisis periods. The authors’ research uniquely uses System GMM on a large sample and differentiates between related and unrelated diversification.

This study aims to examine the impact of disclosure on the unsolved initial public offering (IPO) puzzle. For this purpose, the authors analyzed the impact of the primary uses of the proceeds disclosed in a firm's IPO prospectus on underpricing, prelisting performance, postlisting underperformance and operating performance.

This study uses Indian public firms that went public between March 31, 2010, and March 31, 2020. A multivariate regression technique was used to study the impact of the primary uses of proceeds on underpricing, prelisting performance and postlisting underperformance, whereas a quantile regression technique was used to study their impact on operating performance.

The authors found that the primary use of proceeds disclosure helps predict underpricing and returns to the investor only until day 60 postlisting; beyond that, they provide no further insights into the firm's performance. Firms with lower and average operating performance should not state the general corporate purposes and payment on borrowings, respectively, as their primary use of proceeds, as it leads to a decline in their operating performance.

Results might suffer from the potential endogeneity problem due to selection bias. This research focuses on India only, which makes generalization of results for other economies difficult. Future research may extend the post-IPO period and include more developing economies. Furthermore, future studies can draw comparisons between developed and developing nations' disclosures of using proceeds.

This study will help the firms going public in India better disclose the use of proceeds based on their characteristics. Stating future acquisitions, payments on borrowings and working capital reduces the uncertainty, and therefore, these are feasible avenues for investing proceeds raised through IPO.

The authors used ten categories for the primary use of proceeds disclosure, whereas previous studies have used only five to six categories. To the best of the authors’ knowledge, this study was the first to use underpricing, postlisting performance and operating performance in a single study. These measures gave a more holistic view of the use of proceeds disclosure.

This study aims to investigate the impact of banking relationships and ownership concentration on corporate cash holdings (CCH) in 333 Indian micro, small and medium-sized enterprises (MSMEs) for nine years (2011–2020).

The authors use system generalized method of moments approach to examine the impact of banking relationships and ownership concentration on CCH.

The paper finds that the firm's number of banking relationships share a concave (inverted U-shaped) relationship with the cash holding levels. Initially, the positive relationship may signal weak creditworthiness of MSMEs or be a consequence of bank free-rider monitoring issues. The negative effect after a certain level shows that the competition among banks reduces the firm's financial constraints and therefore makes the firms hoard less cash. The authors also document an inverse relationship between ownership concentration and cash holdings. The authors' results suggest that the presence of large shareholders acts as efficient monitors, reducing the risk of potential agency conflicts and thereby managerial entrenchment resulting in lower cash levels. This association remains unchanged for MSMEs in the service sector. However, the quadratic association between banking relationships and CCH vanishes in the presence of a service sector dummy in the regression model. The authors find a significant positive linear relationship in this regard.

To the best of the authors' knowledge, this is the first paper that studies banking relationships and ownership concentration as determinants of Indian MSMEs.