Small businesses are open to the elements of both consumer and business credit risks. One
of the problems in bankruptcy prediction for small businesses is that the official financial data …

Even as modern researchers and practitioners recognize the critical need for more accurate
bankruptcy and distress prediction models, a lack of consensus remains regarding how …

In developed countries, the first studies on forecasting bankruptcy date to the early 20th
century. In Central and Eastern Europe, due to, among other factors, the geopolitical …

This study takes the topic of comparative analysis of bankruptcy prediction models in the
Property and Real Estate Sector companies listed on the IDX in 2017-2019. In this case, the …

The bankruptcy prediction research domain continues to evolve with many new different
predictive models developed using various tools. Yet many of the tools are used with the …

Applying machine learning techniques to predict bankruptcy in the sample of French, Italian,
Russian and Spanish firms, the study demonstrates that the inclusion of economic policy …

Although the issue of corporate failure analysis is a hot topic for business research since the
last century, even nowadays there are numerous researches focusing on assessing the …

Purpose The purpose of this paper is to enhance the predictive power of bankruptcy
prediction models by taking the past values of firms' financial ratios as benchmark. For this …

The main objective of this paper is to analyse the impact of trend variables on the predictive
ability of the models constructed using two methods: discriminant analysis and decision tree …

Over the last dozen years, the topic of small and medium enterprise (SME) default prediction
has developed into a relevant research domain that has grown for important reasons …