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This study aims to empirically investigate the relationship between intellectual capital (IC) and corporate performance (CP), including financial, market and sustainability performance. The research also investigates the mediating role of earnings management practices (EM) in the IC and CP relationship.

The empirical connection between IC and CP for 795 nonfinancial listed Indian firms is examined for 17 years using industry and year-fixed effect panel regression models. The research has also used Baron and Kenny’s four-step model to examine the role of EM as a mediator between IC and CP.

IC plays a crucial part in improving the financial, market and sustainability performance of Indian firms. The empirical findings further claim that EM practices partially mediate the connection between IC and CP. However, the mediation effect of EM depends on its magnitude and direction, i.e. income-increasing (decreasing) EM practices. The study also claims that sustainability performance-oriented firms practice less EM.

Managers and policymakers can use the findings of this study to their advantage by focusing on the significance of IC in the Indian context and their efforts to improve financial, market and sustainability performance while limiting earnings management practices.

The research uncovers a novel facet of the IC–CP relationship where EM mediates between the two. To the best of our knowledge, this is the first study that analyzes the impact of IC on CP through the lens of mediation using both accrual and real earnings management.

Introduction: Historically, the corporate governance (CG) framework was designed primarily to safeguard the economic interests of shareholders, as a result of political and legal interventions, developing into an effective instrument for stakeholders and society in general.

Purpose: The core objectives of the study include: identifying journals/publications responsible for publishing CG studies in India, key CG issues covered by CG researchers, the amount of high-impact CG literature across different time periods, sectors/industries covered by CG researchers and different research instruments (quantitative or qualitative) used in CG studies in India.

Design/methodology: The chapter used a sample of 130 corporate governance studies that fulfil the selection criteria, drawn from the repository of over 100 reputed journals that are either recognised by the Australian Business Deans Council (ABDC) or indexed by SCOPUS. A systematic literature review has been carried out pertaining to CG issues in India, based on various statistical tools, data, industries, research outlets & citations, etc.

Findings: The results show an overwhelming number of studies have assessed the relationship between CG variables and firm performance, which could be measured through a variety of performance metrics such as ROA and ROI. Apart from empirical analysis, many conceptual studies use repetitive basic statistical tools like descriptive statistics or regression analysis. The chapter offers insights into current achievements and future development.

Originality/value: This bibliometric study is a useful guide for policymakers, corporate leaders, research organisations and management faculty to draw insights from work produced by eminent researchers in GC in India.

This research aims to examine the time-varying behavior of the Weekend, Turn-of-the-Month, January, and Halloween effects in eight foreign exchange rates against the U.S. dollar from the Adaptive Market Hypothesis (AMH) perspective. It also explores whether these anomalies can generate excess returns compared to a buy-and-hold strategy.

Using daily return data from January 2004 to December 2023 in a rolling-window framework, the study employs the Concordance Coefficient test and AR-GARCH models to assess the time-varying behavior of four calendar anomalies. It also assesses the statistical significance of the trading strategies implied by these anomalies using t-tests and applies F-tests for subperiod analysis.

The results reveal a generalized time-varying presence of calendar anomalies in emerging currencies and, to a lesser extent, developed currencies. However, the trading strategies implied by these anomalies generally did not show statistical significance, except for the Turn-of-the-Month effect, which exhibited statistically significant unprofitability.

The study pioneers an analysis of five calendar anomalies across various currencies from the standpoint of the AMH and proposes case-specific explanations for their occurrence. It also examines the potential for the anomalies’ implied trading strategies to generate excess returns compared to a straightforward buy-and-hold strategy. Additionally, the study introduces the recently developed Concordance Coefficient test as a valuable alternative to other non-parametric methods.

The study examines the IPO resilience grounded on the firm’s intrinsic factors.

We examine the association of IPO performance and post-listing firm’s performance with issuers' pre-listing financial and qualitative traits using panel data regression.

IPOs floated in the Indian market from July 2009 to March 31, 2022, evince the notable influence of issuers' pre-IPO fundamentals and legitimacy traits on IPO returns and post-listing earning power. Where the pandemic’s favorable impact is discerned on the post-listing year earning power of the issuer firms, the loss-making issuers appear to be adversely affected by the Covid disruption. Perhaps, the successful listing equipped the issuers with the financial flexibility to combat market challenges vis-à-vis failed issuers deprived of desired IPO proceeds.

High initial returns followed by a declining pattern substantiate the retail investors to be less informed vis-à-vis initial investors, valuers and underwriters, who exit post-listing after profit booking. Investing in the shares of the newly listed ventures post-listing in the secondary market can shield retail investors from the uncertainty losses of being uninformed. The IPO market needs stringent regulations ensuring the verification of the listing valuation, the firm’s credentials and the intent of utilizing IPO proceeds. Healthy development of the IPO market merits reconsidering the listing of ventures with weak fundamentals suspected to withstand the market challenges.

Given the tremendous rise in the new firm venturing into the primary market and the spike in IPOs countering the losses immediately post-opening, the study examines the loss-making and young firms IPOs separately, adding novelty to the study.

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.

This paper aims to explore the relationship between economic policy uncertainty (EPU) and earnings quality in banks in the context of Brazil, Russia, India and China (BRIC) as an emerging economic bloc. The study further explores the role of institutional quality in moderating the impact of EPU on bank earnings quality.

The study has used earnings management (EM) as a proxy for earnings quality, measured using discretionary loan loss provisions. The higher the EM, the lower the quality of earnings. The study has collected data from 74 banks spanning the years 2014 to 2020 and used fixed effects (FE) and generalized methods of moments (GMM) estimators to test the hypotheses.

The study has found a positive impact of EPU on EM, suggesting that banks in the BRIC region react to EPU by increasing earnings opacity. However, the study found that better institutional quality can reduce the EM in the presence of EPU.

The study has made an early attempt to establish the relationship between bank EM and EPU in a cross-country setting. In addition, the study shows that the level of institutional quality in emerging markets moderates the impact of EPU on bank EM, which remains unexplored in prior research.

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.

This study aims to develop and test a model of the antecedents, mediators and consequences of the glass cliff phenomenon through public sector service organizations in Iran to explore more insights on gender inequality in managerial positions.

The current research was conducted based on a mixed-method approach, using both qualitative and quantitative research designs. First, the qualitative method includes content analysis by conducting semi-structured interviews with 20 university professors and expert managers working in public sector service organizations in Iran. The outcomes of the qualitative phase lead to designing the conceptual framework and research hypothesis. Then, through a quantitative phase, 384 female managers working in public sector service organizations in Iran are selected using stratified random sampling and fill out the research questionnaire. The exploratory factor analysis was used to verify the model. Moreover, structural equation modeling, using AMOS 24, was used to test the research hypothesis.

The findings of the qualitative phase were represented in three categories including antecedents (e.g. the characteristics of women’s leadership, the selection of women based on meritocracy criteria, women’s preferences and organizational factors), mediation effect (e.g. succession planning, personal development planning and support networks) and consequences of the glass cliff phenomenon (e.g. positive and negative consequences). The results of the exploratory factor analysis show there are ten components, explaining 88.5% of variances. Moreover, the test of the structural model supports the direct effect of antecedents on the glass cliff phenomenon. The results also show the effect of the glass cliff phenomenon on consequences through mediation effects.

There are some limitations that can be addressed by other researchers. Accordingly, the limited number of female managers in Iran prevented larger quantitative research. Moreover, the current research only found casual and mediation consequences of the glass cliff phenomenon, and potential moderators were not considered in this study.

The present study’s innovations may include using a mixed-method approach to investigate the antecedents, mediators and consequences of the glass cliff phenomenon in this study and examining the model constructs in some public sector service organizations. This research may provide a deep understanding of the antecedents, mediators and consequences of the glass cliff phenomenon by finding new factors using a mixed-method approach.

The purpose of the present research is to explore the relationship between intellectual capital and subsequent stock returns.

The present study has applied the Fama–French (1993) portfolio formation technique to calculate the portfolios and find the relationship with future stock returns for the duration of 22 years, i.e. 2000–2021, on all listed nonfinancial firms of India.

The findings suggest that intellectual capital proxied by VAIC (Pulic, 2000) shows a negative relationship with subsequent stock returns. Along with overall VAIC, components of VAIC, i.e. value-added human capital (VAHU), value-added capital employed (VACA) and Structural capital value added (SCVA) have also been explored. The results suggest that Indian firms still rely on financial and physical capital as compared to human and structural capital. There exists heterogeneity across industries while predicting the subsequent stock returns. Sub-period analysis shows that the latest duration is positively, however, insignificantly impacting the VAIC and stock return relationship. Age and size as control variables have also been explored. The results show that young-low VAIC and small-low VAIC firms are more significant as compared to high VAIC firms.

The paper reveals that physical capital plays an important role in predicting future stock returns.

The present study will prove to be an impetus in finding the relationship between intellectual capital and future stock returns, as it is an unexplored area both in the global as well as in the Indian context.

This study aims to investigate the efficiency of Indian commercial banks from 2002 to 2018 using the stochastic frontier analysis.

This study uses the parametric approach of the stochastic frontier to examine the technical efficiency of banks acknowledging exogenous shocks, omitted variables and measurement errors, filling a gap in the existing financial literature. The scope of this study was constrained to 71 scheduled commercial banks to make it manageable and productive with 1,036 observations.

The results show that the mean technical efficiency of new private banks remained constant at 92.7% during the study period because of technology diffusion in banking systems. The technical efficiency of the nationalized, old private and foreign banks has enhanced over the period because of the efficient utilization of various innovative information technology services such as mobile banking, cheque truncation system, magnetic ink character recognition. However, the foreign banks are still laggards with a mean technical efficiency of 81.7%. The empirical findings suggest that new private sector banks depict higher efficiency than nationalized, old private and foreign banks.

This study’s sample represents all categories of banks (public, private and foreign) including the banks that merged or consolidated during the period of study. To achieve the desired results, the authors incorporate the consolidated and merged banks in their data set. Further, the authors excluded all scheduled small finance banks and scheduled payment banks from their analysis, as these entities commenced operations post-2015. Additionally, the authors also excluded regional rural banks because of their distinct mandate aimed at servicing the rural populace and agricultural sector.

This study contributes to the literature on the performance of conventional banks in general and emerging markets, in particular, using the most recent data and covering a relatively long period using the stochastic frontier approach.