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The origin of bankruptcy dates back to the laws of the Roman Empire which were instrumental in the formation of both English and American laws (Galligan, 1991). However, it was not until 1898 that the United States enacted its bankruptcy laws for the first time. Later, the Chandler Act of 1938 was added in order to legislate reorganisation into existing bankruptcy laws. In order to expand this critical domain, the 1978 Bankruptcy Reform Act was made into law. Finally, Congress passed the Bankruptcy Amendments and Federal Judgeship Act in 1984 so that some weaknesses in the 1978 reform act could be improved.

This paper aims to propose an analysis of financial regulation practices, identified thanks to an extensive benchmark carried out in eight European professional sports leagues.

Between 1970 and 2018, 81 French football clubs went bankrupt. The paper proposes an analysis of financial regulation practices in eight European professional sports leagues to enhance the prevention of bankruptcy of French football clubs. Three research questions are addressed: What are the financial and accounting disclosure practices in the main professional leagues? What assessment tools are employed to evaluate the financial risk and budgetary feasibility? What financial support measures exist for clubs and how are insolvency proceedings initiated by clubs? To identify financial regulation practices in professional sport, a selection of leagues was made based on their economic importance, specific regulatory tools used, and their approach to financial difficulties and the handling of insolvency proceedings.

Through an examination of financial regulation practices in other leagues, three main findings are highlighted: The significance of required financial documents and deadlines varies depending on the competition organizer; some leagues utilize ratio-based assessments rather than relying solely on opinions from financial oversight bodies; certain leagues have established assistance processes for troubled clubs as opposed to punitive measures resulting in administrative regulations.

This study proposes new financial regulation modalities to prevent the bankruptcy of French football clubs. Firstly, a reform management control is suggested. Secondly, the engagement of stakeholders in bankruptcy prevention is recommended. Lastly, the implementation of a dedicated policy to support clubs facing difficulties is proposed.

The French football federation and the professional league are important actors in the European football. Many bankruptcies are noted in these championships and since the COVID crisis, the financial situation of the clubs has deteriorated, pointing to a strong risk of bankruptcy in the coming years.

The purpose of this study is to examine the association between financial capability and informal bankruptcy, especially among families in which the respondent and/or spouse borrowed student loans to fund their own education and families that did not have such loans.

US nationally representative data were employed. Three family types were used, families with student loans borrowed to fund respondent and/or spouse's education and education was completed (type 1 holders) or not completed (type 2 holders), and families that did not borrow student loans for respondent and/or spouse's education (non-holders). Informal bankruptcy was measured by being insolvent and late in debt payment for 60 or more days. Financial capability was measured by both an index and its various components. Multivariate logistic regressions were conducted to examine associations between financial capability and informal bankruptcy.

Generally, financial capability was negatively associated with informal bankruptcy, and student loan holders were more likely to be informally bankrupt than non-holders. However, such negative associations were statistically significant for type 1 holders and non-holders but insignificant for type 2 holders. Two desirable financial behaviors (information search and online banking) reduced the chance of informal bankruptcy for type 2 holders.

First, cross-sectional data cannot establish a causal relationship. Second, findings using data from a single country may not be generalized to other countries.

Financial service professionals should help loan applicants evaluate the necessity of borrowing. Banking professionals can use the findings to develop products to meet different consumer needs. Financial educators should target different groups with different strategies in financial capability education. Policymakers should develop policies helping student loan holders complete education funded by student loans.

This study examines factors related to informal bankruptcy, providing insights to warning signs of bankruptcy. This study explores the potential effect of a new factor, financial capability, on informal bankruptcy, filling in a gap in the bankruptcy literature. This study recognizes differences in informal bankruptcy among various types of families and examines the different effects of financial capabilities on informal bankruptcy for different types of families.

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.

Although several microeconomic and macroeconomic factors driving banks' credit quality have been well-studied in the literature, one aspect which appears to have received limited attention is bankruptcy reforms. To address this issue, the author exploits data on Middle East and North Africa (MENA) country banks during the period 2010–2020 and examines the impact of bankruptcy laws on their credit quality.

In view of the staggered nature of the implementation of legal reforms across countries, the author utilize a difference-in-differences specification to tease out the causal impact.

The findings reveal that bankruptcy reforms lead to a significant improvement in banks' credit quality. The impact is manifest mainly for conventional banks and driven by an increase in recovery intensity. The author also presents evidence which shows that such reforms exert positive real effects, although this impact differs across country characteristics.

The study is among the early ones for the MENA region to assess the interlinkage between bankruptcy reforms and banks' credit quality.

This paper aims to examine corporate social responsibility (CSR) and corporate bankruptcy. Specifically, the authors ask the following research questions: Does CSR play a role in determining the likelihood of bankruptcy? Does CSR explain the difference in the probability of that firm eventually reorganizing and emerging from bankruptcy?

The authors address these questions by testing three CSR theories using a sample of 78 firms that filed for Chapter 11 bankruptcy during the period 2007 to 2014 along with a matched sample of firms that did not.

Overall, the findings indicate that stronger CSR firms are less likely to become bankrupt relative to weaker CSR firms, all else being equal. This result is in line with the stakeholder theory of CSR. However, results do not support the conjecture that CSR matters when it comes to bankruptcy emergence. While CSR seems to influence whether a company experiences bankruptcy in the first place, having strong CSR does not seem to help a firm once it has filed for Chapter 11.

This paper extends the existing CSR literature but looks at CSR not from the angel of financial “success” but rather from financial “failure”.

The results could potentially help academics and practitioners alike in seeking understanding and reason behind CSR involvement and bankruptcy avoidance and success.

This is the first paper to test whether CSR plays a role in bankruptcy. The authors use a recent sample of firms with CSR scores that experienced a bankruptcy and a matched sample of CSR-scored firms that did not experience bankruptcy.

There is a preponderance of evidence in the established literature that declining firms have lower levels of organizational slack when compared with surviving firms. To further advance the current literature, the purpose of this paper is to examine whether or not organizational slack in its various forms differ in declining firms and in surviving firms. Additionally, this study examines whether there is a change in the extent of slack in the declining firms in the years immediately preceding bankruptcy filing.

–t-tests and panel regressions with random effects are performed.

Available slack, potential slack and total slack of bankrupts significantly differ from that of survivors in each year. However, recoverable slack levels do not differ in bankrupts and survivors. Available slack of bankrupts reduces significantly over the last five years before bankruptcy. Recoverable slack, potential slack and total slack conditions do not drastically deteriorate for the bankrupts over the last few years prior to bankruptcy.

Not confirming to prior evidences, the results of this study suggest that not every type of organizational slack is in a worse condition within a declining firm than in a surviving firm.

Among all the slack types, what differentiates bankrupts from survivors is the amount of available slack. Decreasing available slack within declining firms should forewarn managers of further likely deteriorations.

The results of this study questions the prevailing wisdom that financial resource levels, especially the levels of organizational slack is in a significantly lower level in declining firms than in surviving firms.

An appropriate use of neural computing techniques is to apply them to corporate bankruptcy prediction, where conventional solutions can be hard to obtain. Having said that, choosing an appropriate Artificial Neural Network topology (ANN) for predicting corporate bankruptcy would remain a daunting prospect. The context of the problem is that there are no fixed rules in determining the ANN structure or its parameter values, a large number of ANN topologies may have to be constructed with different structures and parameters before determining an acceptable model. The trial‐and‐error process can be tedious, and the experience of the ANN user in constructing the topologies is invaluable in the search for a good model. Yet, a permanent solution does not exist. This paper identifies a non trivial novel approach for implementing artificial neural networks for the prediction of corporate bankruptcy by applying inter‐connected neural networks. The proposed approach is to produce a neural network architecture that captures the underlying characteristics of the problem domain. The research primarily employed financial data sets from the London Stock Exchange and Jordans financial database of major public and private British companies. Early results indicate that an ANN appears to outperform the traditional approach in forecasting corporate bankruptcy.

The bankruptcy of Enron and the subsequent demise of Arthur Andersen brought intense scrutiny to the accounting profession. That these events would have an effect on auditor going concern modification judgments and accounting regulation would not be surprising. This study aims to look at 1,204 publicly traded firms that filed bankruptcy in the period January 1, 1997 through December 31, 2005.

The observations are divided into pre‐Enron and post‐Enron periods. The paper finds the 18 largest bankruptcies represented 47 percent of the total assets entering bankruptcy in this period.

The going concern modification rate in the pre‐Enron period was 44.5 percent, in the post‐Enron period, 61.9 percent. Findings show auditors, in the presence of a consistent standard, nevertheless modify their decision making as a result of external events. This study further looks at the impact of outliers on this decision and on differences by firm size.

By considering the entire population of publicly traded firms filing bankruptcy, overall implications and statistics are provided. This method does not allow the use of certain traditional modeling techniques.

The research shows auditors, despite a consistent standard, vary their going concern judgments based upon external events. The paper also suggests that “one size fits all” regulatory models may not be cost effective across the population of public firms.

The research provides a summary of the characteristics of the population of firms filing bankruptcy for an extended period across a changing reporting and regulatory environment.

The purpose of the paper is to analyze the new Bankruptcy Law in Saudi Arabia (KSA Bankruptcy Law) under both a comparative lens and a policy-oriented one, while highlighting some of the most essential operational steps and procedures in a bankruptcy proceeding under the law.

The approach adopted analyzes the specific mechanics and procedures of a bankruptcy law under the general policies and goals of bankruptcy. Additionally, where appropriate, a brief comparison to the US Bankruptcy code and its provisions is presented to provide an alternative approach on how similar issues are handled under a reputable and proven bankruptcy system.

Overall, the KSA Bankruptcy Law is a major accomplishment and advancement to the Kingdom’s insolvency regime. The law consolidated and codified the laws governing bankruptcy under the Kingdom’s prior regime, and followed the structure of a modern bankruptcy regime. In doing so, several of the law’s policies and objectives have been fulfilled by providing an effective, predictable and reliable bankruptcy system.

Given the relatively recent adoption of the KSA Bankruptcy Law, the paper provides a comprehensive assessment of the law’s operation and its effectiveness in achieving its policy goals as a modern bankruptcy law.