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

Machine Learning Approaches on the Bankruptcy Modeling: Altman z-score, Neural Net, and CatBoost Classifier models (Paperback) (ISBN-13: 9789999319331)

Vendor: Murat Yazici
Product type: Books
Format: Paperback
$42.50
$42.50
$42.50
Subtotal: $42.50
Machine Learning Approaches on the Bankruptcy Modeling: Altman z-score, Neural Net, and CatBoost Classifier models by Yazici, Murat

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

$42.50
Machine Learning Approaches on the Bankruptcy Modeling: Altman z-score, Neural Net, and CatBoost Classifier models by Yazici, Murat

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

$42.50
Format: Paperback
Description
Description
x
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.

Author: Murat Yazici
ISBN-10: 9999319335
ISBN-13: 9789999319331
Publisher: Eliva Press
Language: English
Published: 04/18/2024
Pages: 42
Format: Paperback
Weight: 0.15lbs
Size: 9.00h x 6.00w x 0.09d

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