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Voluntary disclosures and peer-to-peer lending decisions: Evidence from the repeated game

Author

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  • Yan Li

    (Renmin University of China)

  • Cungang Li

    (Renmin University of China)

  • Yijun Gao

    (Central Huijin Investment Co.)

Abstract

This study investigates the effect of voluntary disclosures on lending decisions in the repeated game. Using a unique dataset from a peer-to-peer lending platform, “ppdai” (paipaidai), we document that voluntary disclosures in the repeated game play a stronger role in promoting funding success than those in the one-shot game. We argue that voluntary disclosures improve the bidding activity in the repeated game through which they increase funding success. In addition, the greater impact of voluntary disclosures on funding success in the repeated game only holds for loans without a personal guarantee attribution. Our extended results suggest that the subjective voluntary disclosures in the repeated game have greater information content only when borrowers have a successful borrowing experience. We also point out that voluntary disclosures in the repeated game are associated with a lower probability of default. Our results are robust to the Heckman two-step estimation that addresses the self-selection effect and a specification designed to rule out the alternative explanation from reputation in the repeated game. Our study provides new insights into the real effects of costless, voluntary and unverifiable disclosures on lending decisions.

Suggested Citation

  • Yan Li & Cungang Li & Yijun Gao, 2020. "Voluntary disclosures and peer-to-peer lending decisions: Evidence from the repeated game," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    • Handle: RePEc:spr:fobric:v:14:y:2020:i:1:d:10.1186_s11782-020-00075-5
    DOI: 10.1186/s11782-020-00075-5
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    Cited by:

    1. Weidong Chen & Xiaohui Yuan, 2021. "Financial inclusion in China: an overview," Frontiers of Business Research in China, Springer, vol. 15(1), pages 1-21, December.

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