The present research paper is basically undertaken so as to develop a model through logistic regression which will help to predict the financial performance of the companies belonging to BSE 500. A further endeavor has been made in this study to understand the significant variables related to...

The present research paper is basically undertaken so as to develop a model through logistic regression which will help to predict the financial performance of the companies belonging to BSE 500. A further endeavor has been made in this study to understand the significant variables related to...

We demonstrate improvements in predictive power when introducing spline functions to take account of highly non-linear relationships between firm failure and earnings, leverage, and liquidity in a logistic bankruptcy model. Our results show that modeling excessive non-linearities yields...

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...

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...