In view of the failure of high profile companies like Circuit City and Linens n Things, Financial distress or bankruptcy prediction has generated much interest recently. This research develops and tests a model for the prediction of bankruptcy of retail firms. We use accounting variables such as...

The objective of this paper is to critically evaluate the main weaknesses associated with the limitations of financial failure prediction research studies. For more than 80 years, researchers have unsuccessfully studied ways to create a general theory of financial failure, which is useful for...

This study develops a corporate bankruptcy classification model from a sample of 258 bankrupt and non-bankrupt companies, covering the period 1986-2008. Instead of depending on traditional ratios, it uses a simple exponential function-based algorithm to improve the stability of financial data....

This paper is focused on the financial situation of enterprises introducing safeguard procedure (in other words moratorium) in the Czech Republic. The paper's aim is to show if the enterprises asking for the safeguard procedure do have financial conditions for recovering and maintaining the...

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...

Recently, various corporate failure prediction models that use machine learning techniques have received considerable attention. In particular, Kim, Cho, and Ryu (2022) demonstrate that using a sequence of a company’s historical information, rather than just the most recent information, yields...

The scientific community has demonstrated that for the bankruptcy prediction, different techniques have different advantages on different data sets and different feature selection approaches. This subject has attracted a lot of research interests as it is one of the major preoccupation of...