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Influence of nonspecific factors on the interest rate of online peer-to-peer microloans in China
•This work examines the relation of nonspecific factors to China's P2P interest rate.•The private lending interest rate has the highest and the most significant impact.•The day June 15, 2018 is the turning point of the China's P2P lending market.•After that day, the effect of the private l...
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Published in: | Finance research letters 2021-07, Vol.41, p.101839, Article 101839 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •This work examines the relation of nonspecific factors to China's P2P interest rate.•The private lending interest rate has the highest and the most significant impact.•The day June 15, 2018 is the turning point of the China's P2P lending market.•After that day, the effect of the private lending interest rate turned insignificant.
This work explores the influence of nonspecific factors, including internal parameters such as term, volume, and participants, and external ones such as risk-free interest rates, private lending interest rates, and online attention, on the average interest rate of peer-to-peer (P2P) microloans in China. Empirical findings reveal that with a positive coefficient, the private lending interest rate is the most significant influencing factor. China's P2P market was changed on June 15, 2018; the effect of the private lending interest rate turned insignificant, and the negative coefficient of the loan term, short-term risk-free interest rate, and online attention became positive. |
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ISSN: | 1544-6123 1544-6131 |
DOI: | 10.1016/j.frl.2020.101839 |