A credit risk assessment model of borrowers in P2P lending based on BP neural network.
Peer-to-Peer (P2P) lending provides convenient and efficient financing channels for small and medium-sized enterprises and individuals, and therefore it has developed rapidly since entering the market. However, due to the imperfection of the credit system and the influence of cyberspace restrictions...
Saved in:
Main Authors: | Zhengwei Ma, Wenjia Hou, Dan Zhang |
---|---|
Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/ea7fc0dd8d984bbc93a6cc417a041abf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BANKING COMPETITION IN RUSSIA ON THE EXAMPLE OF MORTGAGE CREDIT LENDING
by: E. Vakhabov, et al.
Published: (2016) -
Who borrows to accumulate assets? Class, gender and indebtedness in Ecuador’s credit market
by: Deere, Carmen Diana, et al.
Published: (2017) -
Borrowing for health, sustainability, credit card use and ownership: a study of 74 countries
by: Suwastika Naidu, et al.
Published: (2021) -
MODELS AND METHODS OF RISK MANAGEMENT IN MORTGAGE LENDING
by: Anna V. Vorobeva
Published: (2017) -
Incentive and Coordination in the Two-Sided Market: Evidence from the P2P Lending Market
by: Yingxiu Zhao, et al.
Published: (2021)