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P2P Network Lending, Loss Given Default and Credit Risks

1
School of Economics, Fudan University, Shanghai 200433, China
2
School of Finance, Shanghai University of Finance and Economics, Shanghai 200433, China
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(4), 1010; https://doi.org/10.3390/su10041010
Received: 1 February 2018 / Revised: 22 March 2018 / Accepted: 25 March 2018 / Published: 29 March 2018
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Abstract

Peer-to-peer (P2P) network lending is a new mode of internet finance that still holds credit risk as its main risk. According to the internal rating method of the New Basel Accord, in addition to the probability of default, loss given default is also one of the important indicators of evaluation credit risks. Proceeding from the perspective of loss given default (LGD), this paper conducts an empirical study on the probability distribution of LGDs of P2P as well as its influencing factors with the transaction data of Lending Club. The results show that: (1) the LGDs of P2P loans presents an obvious unimodal distribution, the peak value is relatively high and tends to concentrate with the decrease of the borrower’s credit rating, indicating that the distribution of LGDs of P2P lending is similar to that of unsecured bonds; (2) The total asset of the borrower has no significant impact on LGD, the credit rating and the debt-to-income ratio exert a significant negative impact, while the term and amount of the loan produce a relatively strong positive impact. Therefore, when evaluating the borrower’s repayment ability, it is required to pay more attention to its assets structure rather than the size of its total assets. When carrying out risk control for the P2P platform, it is necessary to give priority to the control of default rate. View Full-Text
Keywords: P2P network lending; LGD; credit risks; Lending Club P2P network lending; LGD; credit risks; Lending Club
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Zhou, G.; Zhang, Y.; Luo, S. P2P Network Lending, Loss Given Default and Credit Risks. Sustainability 2018, 10, 1010.

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