Purpose - This paper aims to investigate the link between agency costs mitigation via three levels of rights protection (minority rights protection, enforcing contracts, resolving insolvency issues) provides the propitious climate for financing investment opportunities around the world....

The paper aims to investigate the effects of corporate social performance (CSP) on bankruptcy likelihood in times of economic upswing. This is important because prior related literature focused on data containing times of economic crises. We measure bankruptcy likelihood with the Altman Z score...

We use an agent-based stock-flow consistent model of a closed economy without technological change that considers different classes of households, status consumption and a Minskyan banking sector to analyze the relationship between rising saving rates, the accumulation and distribution of...

The COVID-19 pandemic has affected people's lives and increased the banking solvency risk. This research aimed to build an early warning and early action simulation model to mitigate the solvency risk using the system dynamics methodology and the Powersim Studio 10© software. The addition of an...

After the financial crisis, the European Banking Authority (EBA) has established tighter standards around the definition of default (Capital Requirements Regulation CRR Article 178, EBA/GL/2017/16) to increase the degree of comparability and consistency in credit risk measurement and capital...

This paper examines the usefulness of logit regression in forecasting the consumer bankruptcy of households using an imbalanced dataset. The research on consumer bankruptcy prediction is of paramount importance as it aims to build statistical models that can identify consumers in a difficult...

China’s lending boom to developing countries is morphing into defaults and debt distress. Given the secrecy surrounding China’s loans, also the associated defaults remain “hidden”, as missed payments and restructuring details are not disclosed. We construct an encompassing dataset of...

In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small and Medium Enterprises (SME’s) during...

This paper models the immediate impact of the COVID-19 pandemic on Irish SMEs and extrapolates forward their performance as restrictions ease. Our baseline scenario shows a steady recovery path for the median firm. However, indicators of financial difficulties remain persistently high with the...

The transition from the state ownership to market mechanisms in Hungary fundamentally altered the geography of domestic micro, small, and medium enterprises (SMEs). This study investigates the spatial and temporal evolution of owner numbers, using data on all Hungarian SMEs between 1991 and 2019...

This study investigates determinants of Egyptian SMEs financial failure predictability based on a sample of 32 failure SMEs and 28 non-failure SMEs for the period 2013 and 2019. The determinants of SMEs financial failure are categorized into four groups; Working Capital, Asset Structure,...

The paper aims to investigate the effects of financial distress risk (FDR) and related party transactions (RPT) on financial reporting quality (FRQ) in an emerging market called Iran. In this study, the ordinary least squares regression (OLS) method is employed to test the hypotheses; moreover,...

Roll rates and net flow rates can be seen as the evolution of ageing of accounts receivable and Markov chains. They are accepted methodologies to model the behavior of non-performing consumer loans by buckets and to predict losses, but we find that quite often they are wrongly used as...

Using stepwise logistic regression models, the study aims to separately detect and explain the determinants of default probability for unaudited and audited small-to-medium enterprises (SMEs) under stressed conditions in Zimbabwe. For effectiveness purposes, we use two separate datasets for...

The estimate of the probability of default plays a central role for any financial entity that wants to have an overview of the risks of insolvency it may incur by having economic relations with counterparties. This study aims to analyze the calculation of such measure in the context of...

The goal of this paper is to present early warning models used in the process of bankruptcy recognition that should meet the terms of good economic condition. Economic condition of a company on a capital market is good when the goal of the business is achieved, namely the increase in value, that...

In response to relatively little evidence on the determinants of the financial distress in cooperative financial institutions (e.g., Credit Unions), this paper proposes a distress indicator of Merton Distance to default (Merton DD), which was constructed with a z-score, possessed improved...

China's lending boom to developing countries is morphing into defaults and debt distress. Given the secrecy surrounding China's loans, also the associated defaults remain "hidden”, as missed payments and restructuring details are not disclosed. This paper constructs an encompassing dataset of...

Quantitative models of sovereign debt predict that countries should default during deep recessions. However, empirical research on sovereign debt has found a surprisingly large share of "good times" defaults (i.e., defaults that happen when GDP is above trend). Existing evidence also indicates...

An employee's annual earnings fall by 13% the year her firm files for bankruptcy, and the present value of lost earnings from bankruptcy to six years following bankruptcy is 87% of pre-bankruptcy annual earnings. More worker earnings are lost in thin labor markets and among small firms. Ex ante...

We consider financial networks where agents are linked to each other with financial contracts. A centralized clearing mechanism collects the initial endowments, the liabilities and the division rules of the agents and determines the payments to be made. A division rule specifies how the assets...

This paper examines the incidence of firm bankruptcies and start-ups in Switzerland based on unique register data. We propose to assess the frequency of bankruptcies over time using the concept of excess mortality. During the COVID-19 crisis in 2020 and the first half of 2021, bankruptcy rates...

We develop a sovereign default risk index using natural language processing techniques and 10 million news articles covering over 100 countries. The index is a highfrequency measure of countries' default risk, particularly for those lacking marketbased measures: it correlates with sovereign CDS...

Purpose: Previous research on the relationship between a firm’s distress risk and future stock returns produces inconsistent results. This study attempts to explain the conflicting results of earlier studies by showing that systematic distress risk leads to positive rewards, while unsystematic...

In this study, a new risk assessment model is developed and the evidence reasoning (ER) approach is applied to assess failure risk of knowledge-intensive services (KIS) corporates in the UK. General quantitative financial indicators alone (e.g., operational capability or profitability) cannot...

We specify and estimate a lifecycle model of consumption, housing demand and labor supply in an environment where individuals may file for bankruptcy or default on their mortgage. Uncertainty in the model is driven by house price shocks, education specific productivity shocks, and catastrophic...

The qualitative information of companies’ financial statements provides useful information that can increase the accuracy of bankruptcy prediction models. In this research, a dataset of 924,903 financial statements from 355,704 German companies classified into solvent, financially distressed,...