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This study investigates the impact of pre-IPO earnings management on investor demand in the Indian IPO market. It also examines whether earnings management by issuer firms affects IPO valuation, a topic that is underexplored in accounting research.

The study uses the data of 310 IPOs from India during the period 2000–2021. The association between pre-IPO earnings management with investor demand and valuation is tested using cross-sectional ordinary least squares regression models with heteroscedasticity-robust standard errors.

The study finds that the degree of pre-IPO earnings management impacts retail investor demand, measured as their over-subscription multiple. Pre-IPO earnings management is unrelated to institutional investor bidding. Further, this paper suggests no relation between pre-IPO earnings management and IPO valuation.

Future studies could explore various other forms of earnings management and their impact on investor demand and valuation.

The findings of this study will help the investors and regulators to understand the practice of earnings management among IPO firms and how it is related to IPO demand and valuation.

This study contributes to the existing literature on IPO-earnings management and investor demand by documenting that issuer firms engage in earnings management to influence investor demand, particularly retail investor demand. Analysis of IPO valuation reveals that earnings management is mostly unrelated to IPO valuation, contrary to the general perception in the literature.

Theoretical studies suggest that hedging helps firms to reduce their financial distress costs and underinvestment problem especially if the markets are imperfect. Hence hedging, through the use of currency derivatives, is one of the important financial policies for firms. The purpose of this paper is to empirically examine the determinants of derivatives usage by Indian firms using financial disclosures on currency derivatives by non-financial constituents of S&P CNX 500 for 2009.

We manually collect the data on foreign currency derivatives from firms’ annual reports for 2009 and then follow Haushalter’s (2000) approach to examine the determinants of firms’ decision to hedge. A firm can make its hedging decision at once, deciding whether to hedge and how much to hedge. Given the nature of dependent variable that is censored, it is appropriate to use Tobit regression. A firm can also decide its hedging decision in two steps by deciding first on whether to hedge and later how much to hedge. The former is modelled by probit regression and later by conditional regression.

Our empirical evidence suggests that forwards are the main instruments for managing currency risk followed by options and swaps. The objectives, in the order of priority, are reduction in exposure associated with foreign currency receivables, foreign currency long-term loans and foreign currency payables. Firm’s decision to hedge is positively related to size, foreign exchange exposure and leverage, while negatively related to liquidity and investment opportunities. We find evidence of higher derivative usage by firms with both higher currency risk and higher financial distress costs.

The findings of this paper will help corporates, researchers and regulators to understand firms’ motives behind hedging.

This is the first empirical study that examines the determinants of firm’s decision to hedge and the extent of hedging in the context of emerging economies like India.

Prior research on earnings management largely assumes that newly public firms manage earnings opportunistically around IPOs. However, only a few studies have empirically examined the real motives behind newly public firms’ earnings management. The purpose of this paper is to examine the impact of ownership dilution on earnings management among IPO firms. The authors chose the setting of security offerings in an emerging market, which is characterised by unique ownership structure, to examine the possible incentive of owners or pre-IPO shareholders to engage in earnings management.

The study employs accrual and real transactions measures to check the presence of earnings management among 409 IPO firms from India during the period 2000‒2018. Subsequently, using ordinary least squares regression models with heteroscedasticity-robust standard errors, this paper examines the relationship between earnings management and selling or dilution incentives of pre-IPO shareholders.

The study finds that the degree of earnings manipulation by issuer firms is positively associated with the ownership dilution at the time of IPO as well as around lockup expiration.

The findings of this study will help the investors and regulators to understand the practice of earnings management among IPO firms and how it is linked to the ownership dilution of pre-IPO shareholders.

The paper contributes to the limited stream of research that investigates the motives of earnings management among IPO firms. It empirically establishes an association between the selling incentive of pre-IPO shareholders and earnings management.

The purpose of this paper is to empirically investigate the stock return and operating performance of the firms which emerged from bankruptcy during 1992‐2006 in India.

The paper uses single factor model and matching firm approach to assess the stock return performance. It employs the level as well as change expectation models to examine the operating performance.

The paper shows that the sample firms, after emerging from bankruptcy, report declining stock return as well as operating performance.

Findings of the study raise doubts over the efficiency of Indian corporate bankruptcy reorganizing mechanism.

Apparently, no previous study examined the post‐bankruptcy performance of the firms, particularly in the context of emerging markets, which are plagued with the principal agent problems aggravated by owner managers. Given the potential vulnerability of the bankruptcy process for the inefficient wealth transfers among various claim holders, this paper provides useful insights into the same.

Corporate treasurers manage the currency risk of their organization by hedging through futures contracts. The purpose of this paper is to evaluate the effectiveness of hedging by US currency futures contracts by taking into account the efficiency of the currency market.

The static models for calculating hedge ratio are as popular as dynamic models. But the main disadvantage with the static models is that they do not consider important properties of time series like autocorrelation and heteroskedasticity of the residuals and also ignore the cointegration of the market variables which indicate short-run market disequilibrium. The present study, therefore, measures the hedging effectiveness in the US currency futures market using two dynamic models – constant conditional correlation multivariate generalized ARCH (CCC-MGARCH) and dynamic conditional correlation multivariate GARCH (DCC-MGARCH).

The study finds that both the dynamic models used in the study provide similar results. The relative comparison of CCC-MGARCH and DCC-MGARCH models shows that CCC-MGARCH provides better hedging effectiveness result, and thus, should be preferred over the other model.

The findings of the study are important for the company treasurers since the new updated Indian accounting standards (Ind-AS), applicable from the financial year 2016–2017, make it mandatory for the companies to evaluate the effectiveness of hedges. These standards do not specify a quantitative method of evaluation but provide the flexibility to the companies in choosing an appropriate method which justifies their risk management objective. These results are also useful for the policy makers as they can specify and list the appropriate methods for evaluating the hedge effectiveness in the currency market.

Majorly, the studies on Indian financial market limit themselves to either examining the efficiency of that market or to evaluate the effectiveness of the hedges undertaken. Moreover, most of such works focus on the stock market or the commodity market in India. This is one of the first studies which bring together the concepts of efficiency of the market and effectiveness of the hedges in the Indian currency futures market.

The purpose of this paper is to examine the impact of working capital management (WCM) on profitability under different financial conditions (constraint/unconstraint) and WCM policy (aggressive/conservative). Furthermore, the study investigates the existence of optimal working capital levels under different financial conditions and WCM policy.

Two-step system generalized method of moments and fixed effect models are used to analyze the data collected from Prowess database from 2011 to 2020 for a sample of 1,104 Indian manufacturing companies.

The study finds an inverted U-shaped relationship between working capital and profitability in all financial conditions and working capital policy. This finding advocates the existence of an optimal level of working capital that equates the costs and benefits of holding working capital to maximize the companies’ profitability. However, holding working capital beyond the optimal level negatively affects profitability. Companies under financial constraints with aggressive working capital policies have the lowest optimal cash conversion cycle (CCC). Furthermore, the relationship of working capital with profitability and the optimal CCC varies owing to firm age and industry group.

To the best of the authors’ knowledge, this is the first paper that incorporates the impact of working capital on firm’s performance from both financial constraint (unconstraint) and aggressive (conservative) working capital policy perspectives in the Indian context. Furthermore, this study also contributes in terms of reflecting the effect of firm age and industry in determining the optimum CCC of the firms.

The purpose of this paper studies the transformation effect of research and development (R&D) subsidies on firm performance in emerging economies from the perspective of capital and product markets. It also studies the mechanisms behind R&D subsidies’ transformation effect.

This study mainly explores the transformation effect of government R&D subsidies on corporate performance and its non-linear characteristics using Chinese A-share listed companies’ data from 2008 to 2016. The authors use the instrumental variable method to reduce endogenous problems and conduct a series of robustness tests to support the conclusions. The mechanisms of the transformation effect are explored via mediation effect models. The impact of firm heterogeneities on the transformation effect is also addressed.

Results indicate that R&D subsidies promote firm performance and experience obvious transformation effects only within a “moderate interval.” R&D subsidies play a vital role in enhancing firm performance mainly via two mechanisms, namely, signal financing and innovation incentives. Further, the transformation effect is much greater in non-state-owned, young and large enterprises.

This paper contributes to understanding how R&D subsidies affect corporate performance from the perspective of capital and product markets by applying the linear and non-linear techniques that can clarify the relationship between the selected variables under study. The findings of this study might be helpful to identify the right directions for the government to implement and promote the R&D subsidy policies more effectively.

This study focuses on an emerging market, China, and investigates the effects of corporate research and development (R&D) spending and subsidies on stock market reactions to seasoned equity offering (SEO) announcements.

The study uses a sample of SEOs announced over the period of 2003–2018 in the Chinese A-share market. The cumulative abnormal stock returns (CARs) are adopted to measure the stock market response to SEOs. The R&D spending-to-sales ratio (R&D subsidies) in 2 years before SEO announcements is used to measure the pre-SEO R&D spending (R&D subsidies). The instrumental variable (IV) regression method is applied to address the endogeneity problem in the robustness test.

This study demonstrates that firms with high R&D spending suffer stock overpricing and experience a negative market reaction when they announce SEOs, but R&D subsidies alleviate stock overpricing and mitigate the negative relationship between R&D spending and SEO market reactions.

Although the prior studies have demonstrated that information asymmetry, which causes stock overpricing, explains negative stock market reactions to SEOs, it is unclear if a certain factor that causes information asymmetry affects SEO market reactions. This study fills this gap and focuses on R&D spending, demonstrating that R&D spending is negatively related to SEO performance.