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

Murat Yazici

ISBN 10: 9999319335 ISBN 13: 9789999319331
Verlag: Eliva Press, 2024
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nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9789999319331

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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.

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Bibliografische Details

Titel: Machine Learning Approaches on the ...
Verlag: Eliva Press
Erscheinungsdatum: 2024
Einband: Taschenbuch
Zustand: Neu

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