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 …

), 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 …

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 …

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 …

companies that are at risk of bankruptcy using the DEA method. The originality is the selection of key inputs and outputs to the …