Herding behaviour in P2P lending markets

Mustafa Caglayan, Oleksandr Talavera, Wei Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

We explore lender behaviour on Renrendai.com, a leading Chinese peer-to-peer (P2P) crowdlending platform. Using a sample of around five million investor-loan-hour observations, and applying a high- dimensional fixed effect estimator, we confirm evidence of herding behaviour: the investors in our sample prefer assets that had attracted strong interest in previous periods. The herding behaviour relates to both the experience level of the investor and the length of time of an investment session on the platform. We also provide evidence of significant herding behaviour in the first hour of experienced investors’sessions. Our results are robust to the use of alternative specifications.
Original languageEnglish
Pages (from-to)27-41
Number of pages15
JournalJournal of Empirical Finance
Volume63
Early online date2 Jun 2021
DOIs
Publication statusPublished - Sep 2021

Keywords

  • Crowdlending
  • FinTech
  • Herding
  • Investor experience
  • Peer-to-peer

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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