Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to...

This article presents a financial scoring model estimated on Czech corporate accounting data. Seven financial indicators capable of explaining business failure at a 1-year prediction horizon are identified. Using the model estimated in this way, an aggregate indicator of the creditworthiness of...

Eine große Herausforderung der multivariablen Analyse mit bilanziellen Kennzahlen besteht in der Identifikation derjenigen Kennzahlen, die zur besten Modellperformance führen und dabei möglichst leicht interpretierbar und intuitiv bleiben. Die Menge der in Frage kommenden Kennzahlen ist in...

De- and re-levering betas is important to obtain discount rates for assets that are not publicly traded. A de- and re-levering procedure is around for the case of risk-free debt. The procedure for risky debt is much less clear even under very simplifying assumptions. In this paper, I concretize...

In light of agency and resource dependence theories, we explored the impact of ownership patterns on the likelihood of financial distress using 57 financial institutions (FIs) listed in Dhaka Stock Exchange and 390 firm years from 2016 to 2022. This study observed that 97.94% of the firms are in...

We show that U.S. banks do not engage in zombie lending to firms of deteriorating profitability, irrespective of capital levels and exposure to such firms. In contrast, unregulated financial intermediaries do, originating more and cheaper loans to these firms. We establish these results using...

Secured lenders have recently demanded a new condition in distressed debt restructurings: competing secured lenders must lose priority. We model the implications of this "creditor-on-creditor violence" trend. In our dynamic model, secured lenders enjoy higher priority in default. However,...

We study the sensitivity of the realised loss-given-default (LGD) to macroeconomic conditions by exploring Global Credit's confidential dataset on observed cash flows from defaulted loans. Given the prolonged duration of loan recovery, spanning several years, and the potential for macroeconomic...