Risk Prevention of P2P Online Loan Based on the Criteria of Selection of Commercial Bank Loan
- DOI
- 10.2991/icemse-19.2019.148How to use a DOI?
- Keywords
- online peer-to-peer lending, commercial banks, investors, lending platforms
- Abstract
This paper empirically tests whether the traditional commercial bank lending selection criteria can help investors effectively reduce lending risk. Establishing Poisson and Logit regression models based on loan data of RenrenDai, the results show that although the borrower who provides proof information according to the commercial bank loan screening criteria makes the investor spend more time to judge, it significantly reduces the number of bidders required to complete the tender, and the probability of default is also lower. This reveals that the traditional commercial bank lending selection criteria still have good applicability in the network lending market, providing investors with an effective information review reference to accurately judge the situation of borrowers, lowering the investment risk as well.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chenqi Jiang AU - Caixia Zhou PY - 2019/09 DA - 2019/09 TI - Risk Prevention of P2P Online Loan Based on the Criteria of Selection of Commercial Bank Loan BT - Proceedings of the 2019 3rd International Conference on Education, Management Science and Economics (ICEMSE 2019) PB - Atlantis Press SP - 639 EP - 642 SN - 2352-5428 UR - https://doi.org/10.2991/icemse-19.2019.148 DO - 10.2991/icemse-19.2019.148 ID - Jiang2019/09 ER -