A Trial of Student Self-Sponsored Peer-to-Peer Lending Based on Credit Evaluation Using Big Data Analysis
Joint Authors
Wei-sheng, Xu
Hou, Yujiao
Ma, Xiaofeng
Mei, Guang
Wang, Ning
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
There is still no effective approach to overcome the problem of credit evaluation for Chinese students.
In absence of a reliable credit evaluation system for students, the university students have to only apply through online peer-to-peer (P2P) loan platforms because Chinese financial institutions typically reject students’ loan applications.
Lack of students’ financial records hinders financial institutes and banks to routinely evaluate the students’ credit status and assign loans to them.
Hence, this paper attempted to benefit from university students’ diversified daily behavior data, and logistic regression (LR) and gradient boosting decision tree (GBDT) algorithms were also used to develop robust credit evaluation models for university students, in which the validation of the proposed models was assessed by a real-time P2P lending platform.
In this study, the students’ overdue behavior in returning books to university library was used as an index.
With training 17838 samples, the proposed models performed well, while GBDT-based model outperformed in identification of “bad borrowers.” Based on the proposed models, a self-sponsored peer-to-peer loan platform was established and developed in a Chinese university for ten months, and the achieved findings demonstrated that adopting such credit evaluation models can effectively reduce the default ratio.
American Psychological Association (APA)
Hou, Yujiao& Ma, Xiaofeng& Mei, Guang& Wang, Ning& Wei-sheng, Xu. 2019. A Trial of Student Self-Sponsored Peer-to-Peer Lending Based on Credit Evaluation Using Big Data Analysis. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129713
Modern Language Association (MLA)
Hou, Yujiao…[et al.]. A Trial of Student Self-Sponsored Peer-to-Peer Lending Based on Credit Evaluation Using Big Data Analysis. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1129713
American Medical Association (AMA)
Hou, Yujiao& Ma, Xiaofeng& Mei, Guang& Wang, Ning& Wei-sheng, Xu. A Trial of Student Self-Sponsored Peer-to-Peer Lending Based on Credit Evaluation Using Big Data Analysis. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1129713
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129713