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The purpose of this paper is to investigate the effect of equity market misvaluation on manager behavior. Using a sample of 535 French-listed over 2000–2018, the authors analyze whether corporate investment decision is sensitive to equity market overvaluation.

The study adopts market-to-book (M/B) decomposition developed by Rhodes-Kropf and Viswanathan (2004, RKV) that proxies for market misvaluation at the firm and industry levels. The authors conducted a long-term performance analysis via a portfolio sorting procedure and a Carhart (1997) four-factor pricing model. The authors tested the relationship between equity misvaluation, corporate investment decisions and equity issuance. The authors ran several robustness tests.

The empirical results show that equity market misvaluation affects corporate investment positively as the stock price deviates further away from its fundamental. Based on market timing theory, the authors find that corporate investment occurs in periods of high valuation motivated by equity issuance to benefit from the low cost of capital. This effect is more prominent for financially constrained firms. Consistent with the catering channel, the authors find that the misvaluation-investment nexus is more pronounced in firms with short-horizon investors. By examining the stocks’ long-term performance of misvalued firms, via a sorting portfolio procedure, the authors find that undervalued firms outperform and generate higher abnormal returns (Jensen’s alpha) than overvalued firms, suggesting that mispricing-driven investment appear to be short-lived and lead to lower return in the long term.

Corporate decision-makers and governance structures should pay attention to the rationality of the corporate investment decision in the context of equity market misvaluation. Managers who focus on maximizing the stock market value in the short-run at the expense of its long-term performance must give preference to value-creating investment, not driven by an external mechanism such as equity market mispricing. More generally, investors and portfolio managers must take into account the market mispricing process in decision-making. Nonetheless, from the portfolio sorting perspective, decision-makers must act in terms of high governance quality to mitigate suboptimal investment due to stock market mispricing (Jensen, 2005). Finally, equity market overvaluation, leading managers to invest via equity financing in particular, should be a signal to attract investors’ attention to seize the window of opportunity and embark on a short-term portfolio strategy. Such a strategy promises high returns in the short term.

This paper investigates jointly two theoretical channels: equity market timing and catering. The authors propose for the analysis three components of the M/B decomposition to dissociate market misvaluation at the firm and industry level from the fundamental component of market value (growth). This procedure provides a better understanding of the role of firm and industry misvaluation in explaining corporate investments. The authors provide evidence of the equity market misvaluation via a portfolio sorting procedure and a Carhart (1997) four-factor pricing model. The authors examine the effect of misvaluation on both the investment and the financing decisions.

The purpose of this paper is to investigate whether information asymmetry mediates the relationship between disclosure and cost of equity.

The study is based on a sample of 500 companies listed in Bombay Stock Exchange for a period of six years from 2015 to 2021. Panel data regression is applied to analyze the relationship between voluntary disclosure, cost of equity and information asymmetry. Mediation effect of information asymmetry is tested with the help of Barron and Kenny’s (1986) approach.

Findings suggest that in case of Indian companies, disclosure reduces cost of equity directly and indirectly through mediation of information asymmetry. Indian investors value credible information for better estimation of future returns, supporting the validity of estimation risk and stock market liquidity hypothesis, which proposes an inverse relationship between disclosure and cost of equity.

Managers can use the findings to strategize their disclosure policy and secure funds at lower cost. Shareholders can monitor managerial actions by demanding credible disclosures. Government too can encourage voluntary disclosure by providing special incentives to the firms.

This study is a pioneering research that investigates the mediating influence of information asymmetry between disclosure and cost of equity with reference to the Indian corporate landscape.

Audit rotation (AR) is a key policy initiative implemented in global jurisdictions to deal with concerns about audit quality. Auditing financial reports involves communicating attested value-relevant company information to investors, and hence audit quality plays a role in the quality of financial reporting information. This paper aims to investigate whether AR affects the degree of information asymmetry (IS) between investors. It further aims to examine whether voluntary AR results in less asymmetric information compared to mandatory AR. Additionally, it examines whether political connections moderate the association between AR and IS.

The authors use data from publicly traded banks across the Gulf Cooperation Council (GCC) for the period 2010–2018. The authors include several variables to control for corporate governance and other firm-specific characteristics by using country-year fixed-effects regression model.

The authors find higher IS for banks that periodically rotate auditor, while banks voluntarily choose to rotate auditors obtain high-quality audits, which results in higher trading volume and lower stock return volatility, hence lower IS. The results suggest that when banks voluntarily choose to rotate auditors, investors perceive these banks as more committed to obtaining high-quality audits relative to mandatory AR. Providing higher quality audits enhances the credibility of reported information and thus reduce the level of IS. Moreover, IS following AR is higher for politically connected banks than for similar but politically unconnected banks. Finally, investors perceive voluntary AR as a disciplining tool, which mitigates IS. This mitigating role is not affected by bank political connectedness.

This study has limitations as the definition of AR could be interpreted as binary or too narrow, and hence it may not be appropriate to generalize findings to different contexts. Nonetheless, this study casts light on a new perspective to reconcile the existing mixed evidence on the influence of AR on IS and the moderating role of political connections. A further limitation is that because of data unavailability, the authors were unable to use other proxies (e.g. bid-ask spreads and analyst forecast dispersion) of IS.

The present findings provide insight to regulators, policymakers and standard setters on the potential adverse effect of political connections on the role of AR in mitigating IS. The results underscore the importance of voluntary AR, and suggest that regulators, policymakers and standard setters encourage firms to rotate their auditors periodically.

This study provides evidence in a setting that is unique at the economic, social and regulatory levels. Prior literature is lacking and has been centered on developed countries or focusing on single-country specifications. The data set of this study is unique and allows us to examine the interplay between political influence that arises through ownership and management roles of influential members of state.

Existing literature demonstrates the important role of information transparency in enterprise development and market surveillance. However, little empirical research has examined the information transparency effect in supply chain management. This study aims to fill this gap by exploring the significant role of information transparency on supply chain financing and its mechanism, taking trade credit as the starting point.

From the data set comprising 3,880 Chinese firms with A-shares listed on the Shenzhen and Shanghai Stock Exchanges from 2011 to 2020, we obtain the basic picture of information transparency and trade credit. Panel fixed effects regression is used to test the hypotheses concerning the antecedents to trade credit.

The empirical results show that: first, information transparency can significantly support corporate access to trade credit and is found to facilitate financing by mitigating perceived risk. Second, among companies with higher levels of financing constraints, weaker market power and more concentration of suppliers, information transparency promotes trade credit more markedly. Third, the outbreak of COVID-19 causes a substantial increase in uncertainty and risk in external circumstances and then the effect of information transparency is weakened. Fourth, the contribution to trade credit is likely to be stronger for disclosures containing management transparency elements compared to single financial transparency.

To the best of our knowledge, this study is one of the first to explore the positive role of information transparency to supply chain financing, which to a certain extent makes up for the lack of information transparency research in the supply chain. It provides new ideas for enterprises to obtain trade credit financing and promote the improvement of supervision departments’ disclosure policies.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

In recent time, stakeholders have called on corporate organizations to develop risk governance (RG) model that could strengthen effective risk disclosure quality (RDQ). Based on this premise, the purpose of this study is to examine the influence of RG on RD quality of 120 corporate organizations.

RG was measured by board risk committee size, board risk committee independence, board risk committee gender diversity, board risk committee expertise, board risk committee effectiveness, chief risk officer (CRO) presence and enterprise risk management (ERM) framework. This study has used both ordered logistic regression and probit regression to analyze the data set.

The number of members on the board risk committee, the proportion of women on that committee, the board expertise, the committee’s effectiveness, the presence of a CRO and the existence of an ERM framework were all found to have an impact on the quality of the risk information disclosed.

The study emphasizes the need for strong collaboration between the corporate board and external assurance in enhancing the quality of RD.

The findings contribute to growing literature in the area of RG and RD in Nigeria and by extension other sub-Saharan African countries.

The purpose of this study is to compare market reactions to the change in the demand by index funds between large and small company stocks by examining the transition of the S&P 500, S&P 400 MidCap and S&P 600 SmallCap indexes from market capitalization to free-float weighting. This unique information-free event allows not only avoiding confounding information signaling and investor awareness effects but also comparing the effect of the decrease in demand on stocks of different sizes.

This study uses the event study methodology to calculate abnormal returns and trading volume around the full-float adjustment day. It also tests for significant changes in institutional ownership and liquidity. Multivariate regressions are used to examine the relation of liquidity changes and price elasticity of demand to the cumulative abnormal returns around the full-float adjustment day.

This study finds significant decreases in stock price accompanied with significant increases in trading volume on the full-float adjustment day, and significant gains in quasi-indexer institutional ownership and liquidity. The main finding is that cumulative abnormal returns around the event period are related to changes in the number of quasi-indexer and transient institutional shareholders, not to changes in liquidity or price elasticity of demand.

This study provides the first comprehensive comparison analysis of stock market reactions to the decline in demand between large and small company stocks. As an important implication for future studies of the index effect, changes in institutional ownership should be considered in the analysis.

This paper aims to investigate the non-homogeneity in the speed of adjustment (SoA) of the capital structure of manufacturing companies. It also attempts to study the key determinants that accelerate the speed of adjustment towards the target leverage level.

Using the dynamic panel fraction (DPF) estimator on the partial adjustment model, the study captures the heterogeneous SoA of 2,866 firms across eight prominent sectors of the Indian manufacturing industry from 2009 to 2020. To ensure robustness, the empirical inferences of DPF are cross-verified with the estimates of panel-corrected standard errors (PCSE).

The authors find a combination of the capital structure's slow, moderate and rapid adjustment speed along with the relevance of trade-off theory. Interestingly, the lowest and fastest SoA is recorded by the dwindling textile sector and expanding food and agro sector, respectively. Profitability, firm size, asset tangibility and non-debt tax shields are the key firm-specific parameters that impact the SoA towards the target.

Availing the rarely employed estimator ‘DPF’ and the objective of documenting diverse and non-uniform adjustment speeds across the Indian manufacturing sectors marks a novel addition to capital structure literature.

This paper aims to examine the influence of risk management (RM) practices on the credit risk of significantly supervised European banks.

To avoid regulatory and reporting discrepancies, this paper samples banks that come under the direct supervision of the European Central Bank. Significantly supervised European Banks are selected for the five years from 2013 to 2017. The RM and governance data is manually drawn (from annual reports, registration documents, governance and RM reports), and financial data sets are also used (from Moody’s BankFocus and ORBIS).

The results indicate that strong risk control and supervision by a powerful chief risk officer (CRO) reduces banks’ credit risk. Banks with sufficiently powerful and independent CROs tend to manage their risks effectively, therefore reporting lower credit risk.

European Union introduced Capital Requirement Directive IV in 2013 and new guidelines on the banks' internal governance in 2017, which were to be implemented in 2018. Thus, this paper limited the sample to five years (from 2013 to 2017) to avoid inconsistencies in the results. Future studies can extend the research and compare banks' credit risk before and after the implementation of regulatory guidelines.

Since the global financial crisis, the regulatory environment has sufficiently changed. Hence, this study reveals that not all RM practices but a few important ones reduce credit risk.

Effective risk control and supervision at the bank level can lower credit risk, ultimately enhancing overall financial stability.

Most existing studies focus on classic governance indicators to analyze banks’ credit risk; however, this paper considers risk governance indicators which include RM practices used by European banks. Moreover, existing studies in this line focus on the crisis period of 2007–2008. This paper considered the postfinancial crisis period, specifically after the implementation of the Capital Requirements Directive IV at the European level.

This study aims to identify the publication phase, performance and scientific contributions of research papers related to enterprise risk management (ERM) and to visualise the emerging themes in addressing volatility, uncertainty, complexity and ambiguity (VUCA).

The biblioshiny technique based on the bibliometrix R package was used to draw journal papers’ performance and scientific contributions by displaying distinctive features from the bibliometric method used in prior studies. The data was extracted from the Web of Science (WOS) and Scopus databases.

Since the 1990s, ERM publication has gained momentum, and it is generally categorised into four main themes. Studies by Miller (1992) and Bromiley et al. (2015) scored the highest in global and local citations, respectively. However, the Economic Outlook ranked first in quality of publications while the Journal of Risk and Insurance topped in quantity of publications. Collaborative research mainly exists between two authors, and the dynamic number of collaborative networks is evident in the USA.

This study is limited by the filtered keywords used to generate the search on journal papers’ in WOS and Scopus. It is imperative to have more comprehensive and rigorous analytics on ERM research to enable a direction for future research. Finally, ERM implementation better equips firms to mitigate risk in a VUCA environment.

This study attempts to fill a vacuum of ERM literature, specifically in business economics, in addressing VUCA. Moreover, it covers a comprehensive predetermined period of from its inception in 1983 until 2022.