It is normal for companies, during their life cycle, to alternate between positive and negative phases, periods of success and failure. When a negative period shifts from temporary to structural and chronic (and thus continues over time), the company is often destined to go bankrupt. The...

Reviews on financial distress prediction models indicate that these techniques give highly reliable estimates of probabilities of default (PDs) and loss given default (LGD) only for relatively short horizons, rarely beyond two years. Major stakeholders, e.g. investors and bank risk and capital...

The purpose of this paper is firstly to review the literature on the efficacy and importance of the Altman Z-Score bankruptcy prediction model globally and its applications in finance and related areas. This review is based on an analysis of 33 scientific papers published from the year 2000 in...

This paper studies the information content of bank accounting fundamental data in the prediction of bank distress using an international sample of banks from 15 Western European countries and the U.S. during the financial crisis of 2007-12. We assemble an exhaustive and unique set of bank...

Within the commercial client segment, small business lending is gradually becoming a major target for many banks. The new Basel Capital Accord has helped the financial sector to recognize small and medium sized enterprises (SMEs) as a client, distinct from the large corporate. Some argue that...

This study continues the author’s examination and forecasts as to the impact of Covid-19 on the U.S. credit cycle after one and a half years since the pandemic first began. We explore the enormous build-up of global debt even before the pandemic commenced and the subsequent record debt...

In response to the recent elevated corporate credit risk environment in China’s credit market, we develop a probability of default (PD) measure for Chinese companies using actual corporate bond defaults by applying the Least Absolute Shrinkage and Selection Operator (LASSO) machine learning...

It is normal for companies, during their life cycle, to alternate between positive and negative phases, periods of success and failure. When a negative period shifts from temporary to structural and chronic (and thus continues over time), the company is often destined to go bankrupt. The...