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Machine Learning Approaches on the Bankruptcy Modeling

By Murat Yazici

Product Image: Machine Learning Approaches on the Bankruptcy Modeling

Machine Learning Approaches on the Bankruptcy Modeling

By Murat Yazici

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
42
Release Date:
2024-06-27
Publication Date:
2024-04-18
Publisher:
Eliva Press
Languages:
Original: English
ISBN10:
9999319335
ISBN13:
9789999319331
GPSR Manufacturer Reference:
[email protected]
Weight:
78 g
Height:
152 cm
Width:
229 cm
Thickness:
3 cm
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