Corporate management and their auditors are required to evaluate whether there is a risk that the company's ability to continue as a going concern is impaired. For fixed asset-intensive firms, however, regulatory inspections consistently identify problems with auditors' testing of property,...

Over time, companies have faced many crises that have impacted their capacity to remain operational in the market. When going through periods of financial distress, companies must find solutions to face the risks and to fulfill the going concern assumption, which is an essential principle in...

While many employees risk losing their job and having their career disrupted due to employers' financial distress, it is widely recognized that many leave their employer in anticipation of layoff. In this paper, we assess how employee costs of financial distress depend on employees learning and...

In recent decades, the importance of transport and logistics companies has increased considerably, especially for Lithuania, where this sector is on the rise and creating benefits for various users. Therefore, this study aims to analyse the economic-financial situation of transport and logistics...

Increasing personal bankruptcy protection raises consumers' desire to borrow and lenders' cost of extending credit; the impact on equilibrium borrowing is ambiguous. Using bankruptcy protection changes between 1999 and 2005 across U.S. states, we find that borrowers respond to greater protection...

We combine the Decennial Census, credit reports, and administrative earnings to create the first panel dataset linking parent's credit access to the labor market outcomes of children in the U.S.We find that a 10% increase in parent's unused revolving credit during their children's adolescence...

We analyze how corporate reorganization and liquidation change labor reallocation during bankruptcy using randomized judge assignments and linked Portuguese employer-employee and firm data. Reorganization reduces the negative effect of bankruptcy on employee earnings, even with most workers...

Nowadays, the European economy faces significant global challenges that threaten the continuity of economic growth, especially in the German manufacturing sector, which is under strain from financial turmoil, resulting in numerous layoffs and firm closures. In this respect, FinTech significantly...

This article provides a novel insight into whether earnings manipulation signals are reflected in banks' internal credit risk estimates, as measured by the probability of default (PD) estimates, and whether such manipulation has an impact on credit risk (point in time or deferred). The...

Small and Medium-sized Enterprises (SMEs) are the backbone of the European economy. However, the impact of nature-related risks on SME creditworthiness is still largely unexplored. To address this gap, we incorporate indicators of nature-related risks - namely the Biodiversity Intactness Index,...

Bankruptcy prediction is currently a widely researched topic, as it typically results from a chain of negative events. Logistic Regression (LR) is one of the standard prediction tools; however, with advances in technology, machine learning (ML) methods are gaining prominence and demonstrating...

This note reviews empirical evidence on the impacts of insolvency regimes on entrepreneurship, access to credit, preservation of viable businesses and jobs, and other variables contributing to economic development. Its objective is to provide policy makers with evidence to guide insolvency...

Conventional credit risk models understate tail risk by centering on mean default probabilities and neglecting distributional and sectoral heterogeneity. We propose a Quantile Probability of Default (QPD) framework based on unconditional quantile regressions estimated on flow default rates from...

Interpretability analysis methods, such as LIME and SHAP, are widely employed to explain the predictions of artificial intelligence models; however, they primarily function as post hoc tools and do not directly quantify the intrinsic interpretability of the models. Although it is commonly...

The Financial Lobster Bias describes how SMEs, driven by distorted liquidity perceptions, engage in aggressive expansion until financial breakdown occurs. Using data from 10,412 Spanish SMEs (2000-2024), this study shows that liquidity misperception-measured through two versions of the Liquidity...

This study tests the connectionbetween corporate governance structures and firm value, incorporating financial distress as a mediating mechanism among construction companies listed in ASEAN markets. Utilizing a sample of 58 firms drawn from an initial population of 169 companies over the...

We use a novel data set containing all corporate loans throughout the Eurozone to document a series of novel stylized facts on the relationship between collateral and the probability of default. First, we show that the pervasive empirical finding that riskier borrowers pledge collateral is...

We investigate how the use of bankruptcy as an implicit health insurance varies across households, focusing on heterogeneity by asset holdings, race, marital status, and educational attainment. Using a difference-in-differences design based on the 2005 bankruptcy reform, we find that the reform...

Existing research on financial distress typically treats failure as a single event and pays limited attention to the dynamic dependence between recurrent distress episodes. Ignoring such dependence can lead to biased hazard estimates and weaker predictive performance. We propose a...

This study investigates the probability of consumer default across both secured and unsecured assets, with a particular focus on borrower behavior and the role of moral hazard in shaping individual credit risk. It examines how different borrower decisions, such as investing in secured and...

Modern financial systems do not exist in isolation but form part of a complex global network of interconnected financial systems. This globalization of financial systems significantly increases the risk of contagion in financial markets, impacting asset prices and other important economic...

This research examines market reactions to financial distress announcements by small privately held Canadian oil firms operating in the upstream sector between 2015 and 2021, employing an event study methodology, with daily spot prices for Brent and WTI crude oil serving as market benchmarks....

Using harmonized household data from 18 European countries, this paper studies what triggers mortgage default. We distinguish between liquidity stress, negative equity, and the double trigger, where both occur simultaneously. We find that all three increase default risk, but the double trigger...

With the enactment of the Insolvency and Bankruptcy Code (IBC) in 2016, India reformed and unified its fragmented insolvency frameworks into a single comprehensive law designed to prioritize asset maximization and ensure time-bound resolutions. Through a quasi-experimental setting, we examine...

The study's objective is to check whether the predictive power of Machine Learning Techniques is better than Logistic Regression in predicting the bankruptcy of firms and that the same predictive power of ascertaining bankruptcy improves when a proxy for uncertainty is added to the model as a...

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...