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...

The purpose of this study was to develop a new bankruptcy prediction framework that considers a wider range of factors beyond traditional financial ratios and improve the efficiency and accuracy of bankruptcy prediction models in the Indian ecosystem. The financial statements of three Indian...

Credit-risk models that are designed for general application across sectors may not be suitable for the construction industry, which has unique characteristics and financial risks that require specialised modelling approaches. Moreover, advanced bankruptcy-prediction models are often used to...

This paper aims to study the usefulness of applying tax arrears in failure prediction, when annual reports to calculate financial ratios are outdated. Three known classification methods from the failure prediction literature are applied to the whole population dataset from Estonia, incorporating...

Previous research claims that industry-relative financial ratios are more stable than unadjusted ratios. Yet, most bankruptcy studies continue to use unadjusted financial ratios to develop bankruptcy-prediction models. In re-examining whether industry-relative ratios are actually more stable, we...