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This study updates the literature review of Jones (1987) published in this journal. The study pays particular attention to two important themes that have shaped the field over the past 35 years: (1) the development of a range of innovative new statistical learning methods, particularly advanced machine learning methods such as stochastic gradient boosting, adaptive boosting, random forests and deep learning, and (2) the emergence of a wide variety of bankruptcy predictor variables extending beyond traditional financial ratios, including market-based variables, earnings management proxies, auditor going concern opinions (GCOs) and corporate governance attributes. Several directions for future research are discussed.

This study provides a systematic review of the corporate failure literature over the past 35 years with a particular focus on the emergence of new statistical learning methodologies and predictor variables. This synthesis of the literature evaluates the strength and limitations of different modelling approaches under different circumstances and provides an overall evaluation the relative contribution of alternative predictor variables. The study aims to provide a transparent, reproducible and interpretable review of the literature. The literature review also takes a theme-centric rather than author-centric approach and focuses on structured themes that have dominated the literature since 1987.

There are several major findings of this study. First, advanced machine learning methods appear to have the most promise for future firm failure research. Not only do these methods predict significantly better than conventional models, but they also possess many appealing statistical properties. Second, there are now a much wider range of variables being used to model and predict firm failure. However, the literature needs to be interpreted with some caution given the many mixed findings. Finally, there are still a number of unresolved methodological issues arising from the Jones (1987) study that still requiring research attention.

The study explains the connections and derivations between a wide range of firm failure models, from simpler linear models to advanced machine learning methods such as gradient boosting, random forests, adaptive boosting and deep learning. The paper highlights the most promising models for future research, particularly in terms of their predictive power, underlying statistical properties and issues of practical implementation. The study also draws together an extensive literature on alternative predictor variables and provides insights into the role and behaviour of alternative predictor variables in firm failure research.

The purpose of this study is to examine the impact of corporate social responsibility (CSR) expenditure and business responsibility report (BRR) on a firm’s financial performance. Additionally, the study explores whether CSR expenditure and firm performance are related linearly or otherwise. The study also assesses the influence of mandating CSR expenditure on a firm’s performance.

The study is set in India and uses a nine-year data set from 165 companies listed on the Bombay Stock Exchange. Data compilation and analysis are done by using content analysis and panel data regressions.

The main findings of the study are that the effect of CSR expenditure on firm performance in India is non-linear and can be characterized as parabolic for investigated firms. While some performance indicators suggest a U-shaped relationship, others show an inverted U-type pattern, making a definitive conclusion elusive in either direction. BRR scores themselves have a positive impact on firm performance. Mandatory CSR expenditure affects the financial performance negatively, but the market performance improves in general.

The study provides new insights on the relationship between CSR expenditure, BRR scores and firm performance from India, which is not only a notable emerging market but also has other gripping characteristics. It has a prolific history of philanthropy, and yet, it is the first country in the world to mandate CSR expenditure in recent times. The equation between reported economic progress and general quality of life remains intriguing, and yet the number of studies on the effects of CSR expenditure on firm performance are no match to the volume of ongoing and completed works in more developed markets. This study attempts to trim the gap and provide some useful insights for managers, policymakers and stakeholders, apart from prompting further research.

This study aims to understand and document the impact of market-based – market returns and momentum – as well as firm-specific – size, book-to-market (B/M) ratio, price-to-earnings ratio (PER) and cash flow (CF) – factors on pricing of Shari’ah-compliant securities as explanation of variations in stock returns in an emerging market – Pakistan’s Karachi Stock Exchange.

Initially, the authors test Fama and French (FF) three-factor model – market risk premium, size and B/M – followed by modified FF model by including additional risk factors (PER, CF and momentum) over a 10-year period (2001-2010).

Our results support superiority of FF three-factor model over single-factor capital asset pricing model. However, addition of further risk factors – including PER, CF and momentum – improves explanatory power of the model, as well as refines the selection of risk factors. In this study, CF, B/M and momentum factors remain insignificant. Traditional B/M factor in FF model is replaced by PER.

Based on the modified FF model, the authors propose a stock valuation model for Shari’ah-compliant securities consisting of three factors: market returns, size and earnings, which explains 76per cent variations in cross sectional stock returns.

To the best of the authors’ knowledge, this is the first study (which combines market-based as well as fundamental factors) on pricing of Islamic securities and identification of risk factors in an emerging market – Karachi Stock Exchange.

Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

This macroeconomic analysis chronicles the risk behavior of market-based financial intermediaries and traditional depository institutions from 1980 to 2010 and assesses the role that competition, financial innovation and regulation played in their evolving risk behaviors. The paper aims to discuss these issues.

Using a two-part CAPM framework in line with Campbell et al. (2001), risk measures are constructed through the decomposition of industry-level risk and firm-level idiosyncratic risk. These constructed measures are used in a VAR model with a historical decomposition approach to assess the impact of the three factors on the relative risk behavior of these firms.

The results indicate that the market-based and traditional intermediaries exhibited a period of diverging relative average firm-level risk behavior followed by a period of converging risk behavior. Using the derived firm-level risk measures, the impact of competition, financial innovation and regulatory changes on explaining these changing risk behaviors is explored. The results suggest that regulatory changes (i.e. deregulation) can best explain the relative risk behavior over the divergence period through late 1999 relative to the other two variables. The period from November 1999 through the financial crisis marks the converging risk behaviors across these intermediaries. Over this period, the changing nature of competition played the most important role in driving these behaviors.

The key contribution of this analysis highlights the evolutionary changes in the risk behaviors of market-based and traditional financial intermediaries and the factors driving both their diverging and converging nature over time.

This paper aims to analyze the association between goodwill defined as difference between market and book value of equity and reports of nonrecurring items, namely, special items, discontinued operations and extraordinary items to suggest information related to restructuring activities measured by these items can link the valuation and incentive roles of accounting. Economic intuition suggests that successful managerial efforts should increase firm value. Yet, the link between the valuation and stewardship roles of earnings has been difficult to verify.

The author first estimates whether nonrecurring items have an incremental ability to explain goodwill, measured as the difference between market and book value of equity, at the industry level and then estimates whether firm-specific accounting bias is associated with the industry-level signals sent by nonrecurring items. The author then analyzes whether these items are associated with the use of chief executive officer (CEO) market-based compensation.

The author’ results show that information contained in special items increases firm-specific goodwill, indicating that it sends signals to investors about future growth opportunities, while that of discontinued operations reduces goodwill, suggesting that it provides signals about the adjustments of book value. She does not find any significant informational role for extraordinary items. She also finds that the signals sent by special items are negatively associated with the use of CEO market-based compensation, while those relayed by discontinued operations are positively associated with the use of market-based pay.

Contrary to prior studies, the results show special items and discontinued operations are both value and incentive relevant. There are two caveats to this analysis. First, owing to the frequent changes in the definition of discontinued operations, the analysis is conducted using data between 1992 and 2003. Second, some might argue that industry-level incremental R² might not be appropriate for a compensation analysis. However, entities often use industry norms as a benchmark to set CEO compensation. Thus, it is reasonable to think that industry-level signals matter for executive pay.

The author’s findings suggest that compensation committees in firms across industries consider the information contained in special items and discontinued operations, and selectively alter the level of incentives to encourage managerial efforts.

The purpose of this paper is to examine the impact of audit assurance on tax enforcement, which is represented by whether firms have been visited by tax officials and, if so, the total number of inspections per fiscal year. The efficiency of tax administration is further examined by whether it becomes a binding constraint to a firm’s operations.

The sample consists of 18,746 firm-year observations from 28 transition and market-based economies in Central-Eastern Europe. The binary logit model, the Poisson model and the ordinal logit model are applied to test the hypotheses.

The empirical results show that, while audit assurance does not reduce the probability of being visited by tax officials (regardless of visit times) for the two country groups, firms with audited financial reports meet tax officials less often in market-based economies but not in transition economies. Furthermore, only in market-based economies does audit assurance reduce the probability that tax administration becomes a severe obstacle to firms’ operations.

This study addresses the relationship between tax administration and audit assurance in market-based and transition countries. One implication of the empirical findings is that audit assurance would add benefits to business environments when countries evolve from transition to market-based economies.

The purpose of this study is to analyse the effects of market-based and nonmarket-based strategies on firm performance in African countries. This study also investigates host country institutions' effect on the relationship between firm strategies and performance in these countries.

Data of 1,276 firms in five African countries were obtained from two different sources: The World Bank Enterprise Database and The Global Competitiveness Report. Two-stage least squares regression was applied.

Both market-based strategies and corporate political activity (CPA)improve firm performance in the African countries included in the analysis. Institutional development also has a direct positive impact on firm performance. However, the effect of CPA weakens as the host country shifts towards more efficient, market-oriented institutions. Furthermore, the results show that local African firms benefit more from institutional development than foreign firms.

The paper confirms and extends our understanding of the dynamic fit between institutions and strategy by highlighting the moderating role of institutional development on CPA and market-based strategies in enhancing firm performance.

The existing literature point that the presence of women directors in a firm reduces its risk. However, the relation between boardroom gender diversity and a firm’s return is widely disputed leading to no concrete answer. Some studies mention that women directors have a positive impact on firm performance, whereas, on the other hand, some findings suggest that women directors reduce financial performance. This paper aims to study the relationship of firm risk and return with boardroom gender diversity and the net impact on firm performance in the Indian context. This study uses not only traditional measures of risk and return but also the third measure of risk-adjusted returns to postulate its findings.

Based upon the data of the top 100 of the Bombay Stock Exchange-500 firms for the period FY 2009–2010 to FY 2018–2019, this study applied fixed effect panel regression and random effects Tobit regression to examine the effect of board gender diversity on firm performance.

The study concludes that firms with women directors on board have lower risk and lower returns. It also results in a higher risk-adjusted return, creating a positive impact on a firm’s performance.

The paper contributes to the existing literature on corporate governance by considering return, risk and risk-adjusted returns in single research to have a holistic measure of firm performance. It provides empirical evidence from one of the largest emerging economies, India where the female director and independent female director have been introduced recently.

The purpose of this paper is to investigate whether the effect of country and corporate governance mechanisms on zero leverage is heterogeneous across market- and bank-based financial systems.

Using logit regression methods and a sample of listed firms from 14 Western European countries for the 2002–2016 period, this study examines the propensity of firms having zero leverage in different financial systems.

Country governance mechanisms have a heterogeneous effect on zero leverage, with higher quality mechanisms increasing zero-leverage propensity in bank-based countries and decreasing it in market-based countries. Board dimension and independency have no impact on zero leverage. A higher ownership concentration decreases the propensity for zero-leverage policies in bank-based countries.

This study’s findings show the importance of considering both country- and firm-level governance mechanisms when studying the zero-leverage phenomenon and that the effect of those mechanisms vary across financial and legal systems.

For managers, this study suggests that stronger national governance makes difficult (favours) zero-leverage policies in market (bank)-based countries. In bank-based countries, it also suggests that the presence of shareholders that own a large stake makes the adoption of zero-leverage policies difficult. This last implication is also important for small shareholders by suggesting that investing in firms with a concentrated ownership reduces the risk that zero-leverage policies are adopted by entrenched reasons.

To the best of the authors’ knowledge, this is the first study to consider simultaneously the effects of both country- and firm-level governance mechanisms on zero leverage and to allow such effects to vary across financial systems.