Study on Effect of Consumer Information in Personal Credit Risk Evaluation
This study selects Chinese borrowers’ information from a platform that has both online shopping and consumer loan service as sample, studies the effect of consumer information in personal credit risk evaluation, and uses the lLogistic regression model, light gradient boosting machine (LightGBM) algo...
Saved in:
Main Authors: | Hongmei Wen, Xin Sui, Shaopeng Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/7340010 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of the risks of consumer credit cooperatives
by: V. Yu Didenko, et al.
Published: (2019-04-01) -
Improved AHP Model and Neural Network for Consumer Finance Credit Risk Assessment
by: Yafeng Xi, et al.
Published: (2022-01-01) -
Credit Risk Contagion Based on Asymmetric Information Association
by: Shanshan Jiang, et al.
Published: (2018-01-01) -
Consumer Credit as a Provision of General Interest?
by: Irina Domurath
Published: (2022-03-01) -
Enhancing credit risk assessments of SMEs with non-financial information
by: Ranik Raaen Wahlstrøm, et al.
Published: (2024-12-01)