Credit ratings of Chinese online loan platforms based on factor scores and K-means clustering algorithm-Reference-Cited by-同舟云学术

Credit ratings of Chinese online loan platforms based on factor scores and K-means clustering algorithm

Published:2023-09 Issue:3 Volume:8 Page:287-304
ISSN:2096-2320
Container-title:Journal of Management Science and Engineering
language:en
Short-container-title:Journal of Management Science and Engineering

Author:

Chen Rongda,Wang Shengnan,Zhu Zhenghao,Yu Jingjing,Dang Chao^ORCID

Funder

National Natural Science Foundation of China

National Office for Philosophy and Social Sciences

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Strategy and Management,Engineering (miscellaneous),Business and International Management,Control and Systems Engineering,Management Information Systems,General Decision Sciences

Reference35 articles.

1. Credit rating of online lending borrowers using recovery rates;Chen;Int. Rev. Econ. Finance,2020

2. Credit rating model and demonstration of small enterprises based on stepwise discriminant analysis;Chi;Journal of Industrial Engineering and Engineering Management in Chinese,2019

3. The default signal in the loan statement: an empirical study based on online lending and online lending;Chen;Chinese Management Science,2019

4. Multilevel factor score regression;Devlieger;Multivariate Behav. Res.,2020

5. Credit ratings of Chinese households using factor scores and K-means clustering method;Dang;Int. Rev. Econ. Finance,2022

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