| Abstract [eng] |
Bankruptcy prediction is an increasingly relevant topic in both academic research and practical applications. This issue is complex due to the constantly changing business environment — over time, economic conditions shift globally, nationally, and across business sectors. As a result, previously developed models become less reliable, and in order to ensure high-quality bankruptcy classification, new prediction models must be developed. These circumstances create a need for universal methodologies that can be used to build reliable and effective bankruptcy prediction models adaptable to different business environments and capable of accurately assessing corporate bankruptcy risk. |
