Machine Learning Approaches on the Bankruptcy Modeling: Altman z-score, Neural Net, and CatBoost Classifier models

By Murat Yazici

This study includes Machine Learning (ML) approaches on the bankruptcy modeling. The Altman z-score model was selected as the subject of the study due to its widespread usage and extensive scientific validation, as well as its reputation as one of the most reliable tools for predicting bankruptcy. Typically, z-score models are evaluated in concert with other models or metrics. The Altman z-score remains a popular tool amongst investors, accountants, and stakeholders due to its versatility in application. The z-score model is especially useful due to its ease of use, compared to other predictive models. The models chosen for this study provided clear results for predicting a company's financial stability in two regions as bankrupt and non-bankrupt, making it easy to compare between companies.

• Format: Paperback
• Language: English
• ISBN: 9999319335
• ISBN13: 9789999319331
• Release Date: June 2024
• Publisher: Eliva Press
• Length: 42 Pages
• Weight: 0.15 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"