Prediction insolvency is one of the most important issues during creditworthiness assessment, especially in the turmoil environment. That is why the problem of insolvency and bankruptcy prediction has been the subject of numerous studies focused on its causes, consequences, and prediction. The...

Bankruptcy restructuring procedures are used in most legal systems to decide the fate of businesses facing financial hardship. We study how bargaining failures in such procedures impact the economic performance of participating firms in the context of Croatia, which introduced a "pre-bankruptcy...

Bankruptcy restructuring procedures are used in most legal systems to decide the fate of businesses facing financial hardship. We study how bargaining failures in such procedures impact the economic performance of participating firms in the context of Croatia, which introduced a "pre-bankruptcy...

Bankruptcy restructuring procedures are used in most legal systems to decide the fate of businesses facing financial hardship. We study how bargaining failures in such procedures impact the economic performance of participating firms in the context of Croatia, which introduced a "pre-bankruptcy...

A standard result in contests is that a higher-ability player has a higher probability of winning the prize than a lower-ability player. Put differently, a stronger player has an advantage over a weaker player in a contest. There are very few exceptions to this standard result. I consider a...

Bankruptcy restructuring procedures are used in most legal systems to decide the fate of businesses facing financial hardship. We study how bargaining failures in such procedures impact the economic performance of participating firms in the context of Croatia, which introduced a...

After providing a general overview of factors that make businesses economically vulnerable to pandemics (such as COVID-19), this article identifies specific elements that increase the vulnerability of businesses to pandemics. These specifics include the extent to which the demand for their...

This paper looks at a sample of small and medium entities in Spain and analyzesthe effect of the vulnerability of sectors to insolvency on their survival and the probability that they will go bankrupt. We collected data from solvent and insolvent firms in Spain over the period 2012-2016, and...

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...

In Australia, financial hardship caused by over-indebtedness is no longer only experienced by the most vulnerable social group but is now prevalent among the general population. This scoping paper analyses the money advice and debt management system in Australia with emphasis on their...

Over-indebtedness, defined as the inability for a household to meet both essential living expenses and debt repayments, continues to be a significant phenomenon throughout Europe. The problem plays out differently in various countries depending on the relevant credit market, culture around...

This scoping paper outlines credit counselling and debt management structures in the United States and their effectiveness in improving consumers' financial management status. First, various public and private credit counselling systems are explained with a focus on each institution's roles and...

The study investigates the impact of financial distress (credit spread) and liquidity crises (TED spread) on size, value, profitability, investment and momentum premiums within the US Real Estate Investment Trust market. Using daily data from 2001 to 2020, we examine the presence, magnitude and...

Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the lowest possible cost. However, in the Internet...

Fractional reserve regimes generate fragile banking, and full reserve regimes (e.g., narrow banking) remove fragility at the cost of suppressing the role of banks as lenders. A Central Bank Digital Currency (CBDC) could provide safe money, but at the cost of potentially disrupting bank lending....

A crucial role belongs to export firms in the export-led growth model of Vietnam. The COVID-19 disease has posed a serious challenge to the Vietnamese economy, having negatively impacted its influential export sector. However, investigating this export sector encounters small sample issues...

This paper investigates how the process of going bankrupt can be recognized much earlier by enterprises than by traditional forecasting models. The presented studies focus on the assessment of credit risk classes and on determination of the differences in risk class migrations between...

Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing and predicting the financial distress of a company is to develop a predictive model used to forecast the financial condition of a company by combining several econometric...

In a liability problem, the asset value of an insolvent firm must be distributed among the creditors and the firm itself, when the firm has some freedom in negotiating with the creditors. We model the negotiations using cooperative game theory and analyze the Shapley value to resolve such...

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...

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,...

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...

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,...

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...