This paper aims to predict companies' financial distress situation with the use of four different
models; Altman Z score, Revised Altman Z Score (Linear Discriminant Analysis) and …

Business failure anticipation models help stakeholders to protect themselves against the
potential damage of a financial failure situation. In this paper, we use machine learning …

This study aimed to predict the bankruptcy risk of companies listed on the National Stock
Exchange (NSE) in India using the Altman Z-score model. By examining the impact of …

This study focuses on testing the efficiency of alternative bankruptcy prediction models
(Altman, Ohlson, Zmijewski) and on assessing the possible reasons that led to the …

В статье решена проблема разработки интегральной классификации существующих
моделей прогнозирования банкротства на основе контент-анализа 270 релевантных …

Financial distress refers to a situation where a company is facing significant financial
difficulties or is at risk of insolvency. Being able to anticipate financial distress can help …

We study the long-term financing choice between syndicated loans and Mexican firms'
issuance of public debt. We restrict our attention to those firms that issue securities in capital …

Kajian ini bertujuan untuk mengenal pasti indikator kewangan terbaik bagi meramal
kejadian kemungkiran sukuk di Malaysia bagi tempoh 2000 hingga 2010 menggunakan …

Abstract [eng] 92 pages, 5 pictures, 22 tables, 44 references. The main purpose of this
master's thesis is to assess the suitability of bankruptcy prediction models for Lithuanian …

The objective of this research is to determine the probability of business bankruptcy in the
automotive sector in the canton of Cuenca through the application of Altman's Z2-Score …