Predicting bankruptcy of companies has been a hot subject of focus for many economists. The rationale for developing … deep learning models for corporate bankruptcy forecasting using textual disclosures. The study constructed a comprehensive … study model for predicting bankruptcy based on listed companies in Kenya. The study population included all 64 listed …

environment. That is why the problem of insolvency and bankruptcy prediction has been the subject of numerous studies focused on … effectively used in practice to analyze and signal the risk of insolvency and bankruptcy of a construction firms. Also, the …

), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 …

The paper deals with methods of predicting bankruptcy of a business with the aim of choosing a prediction method which … will have exact results. Existing bankruptcy prediction models are a suitable tool for predicting the financial …

. Following bankruptcy reform, wealthier households under 50 reduced their arrears between 2004 and 2007. During the sub …

measures. For this, sample data consisted of 82 companies that had filed for bankruptcy under the Insolvency and Bankruptcy … sample size was 164 companies. Data for five years immediately preceding the bankruptcy filing was collected for the sample …

Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly … affected by various external and internal factors that may influence a company in insolvency and lead to bankruptcy. It is … to create a model for predicting potential bankruptcy of companies using suitable classification methods, namely Support …