Predicting US bank failures: A comparison of logit and data mining models-Reference-Cited by-同舟云学术

Predicting US bank failures: A comparison of logit and data mining models

Published:2017-08-08 Issue:2 Volume:37 Page:235-256
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Jing Zhongbo¹,Fang Yi²

Affiliation:

1. School of Management Science and Engineering; Central University of Finance and Economics; Beijing China

2. School of Finance; Central University of Finance and Economics; Beijing 100081 China

Funder

National Natural Science Foundation of China

CUFE Young Researcher Development Fund (QJJ1619)

Publisher

Wiley

Subject

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

Reference39 articles.

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4. Altman , E. I. Cizel , J. Rijken , H. A. 2014 Anatomy of bank distress: The information content of accounting fundamentals within and across countries http://ssrn.com/abstract=2504926

5. Predicting distress in European banks;Betz;Journal of Banking and Finance,2014

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