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Do P2P borrowers improve the quality of information disclosure? An analysis with text mining on loan descriptions

Author

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  • Yuan Chen
  • Ji Feng
  • Xun Li
  • Shijie Yu

Abstract

Most of peer‐to‐peer (P2P) online borrowers are small business managers. The learning behavior of borrowers in the P2P market is rarely studied. The aim of this paper is to identify the existence of borrowers' learning behavior in the P2P market using a large sample from renrendai.com, which is one of the largest P2P lending platforms in China. The loan description written by the borrower is an important way to disclose the borrower's information. We analyze changes in loan descriptions in multiple borrowings with text mining techniques and investigate whether a borrower has a learning behavior in writing loan descriptions. Empirical results show that after accumulating enough experience, borrowers can optimize the loan description to make it easier to obtain loans at lower interest rates.

Suggested Citation

  • Yuan Chen & Ji Feng & Xun Li & Shijie Yu, 2025. "Do P2P borrowers improve the quality of information disclosure? An analysis with text mining on loan descriptions," International Studies of Economics, John Wiley & Sons, vol. 20(1), pages 23-42, March.
    • Handle: RePEc:wly:intsec:v:20:y:2025:i:1:p:23-42
    DOI: 10.1002/ise3.91
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