Modeling credit risk with a multi‐stage hybrid model: An alternative statistical approach-Reference-Cited by-同舟云学术

Modeling credit risk with a multi‐stage hybrid model: An alternative statistical approach

Published:2022-05-17 Issue:7 Volume:41 Page:1386-1415
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Uddin Mohammad Shamsu¹^ORCID,Chi Guotai²^ORCID,Al Janabi Mazin A. M.³,Habib Tabassum²,Yuan Kunpeng²^ORCID

Affiliation:

1. Business Technology Management Department Islamic University of Technology Gazipur Bangladesh

2. School of Economics and Management Dalian University of Technology Dalian China

3. Tecnologico de Monterrey EGADE Business School Mexico City Mexico

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2860

Reference89 articles.

1. Abductive Networks For Two-Group Classification: A Comparison With Neural Networks

2. Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks

3. ZETATM analysis A new model to identify bankruptcy risk of corporations

4. Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)

5. How rating agencies achieve rating stability

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