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Bounded rationality in a P2P lending market

Author

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  • Dongwoo Kim

Abstract

Purpose - This study seeks to provide a systematic analysis of bounded rationality expressed by individual lenders in a Peer-to-peer (P2P) lending market. Design/methodology/approach - 26,383 personal loan listings collected from Moneyauction in Korea, were analyzed with binary logit regression. 6 hypothesis based on bounded rationality theory were constructed and tested. Binary logit regression was employed as both dependent variables have binary characteristics and can thus be assigned values equal to 0 or 1. Findings - The results confirm that individual P2P lenders make their funding decisions based on bounded rationality, arousing from cognitive limitations, incomplete information, and time constraints. Research limitations/implications - By adopting the theory of bounded rationality, this study attempts to prepare the theoretical background for an explanation of the decision behavior of individual lenders in a P2P lending market. Practical implications - The findings of this research emphasize the importance of the platform provider's role to facilitate the sustainable market growth of P2P lending as an alternative form of finance. As the rationality of individual lenders is bounded during their decision-making process according to the research findings, the platform provider must continuously adjust their decision criteria by referencing the cumulative loan repayment data. Originality/value - This study attempts to identify for the first time the suboptimal decision making by individual lenders in a P2P lending market on the basis of bounded rationality theory.

Suggested Citation

  • Dongwoo Kim, 2020. "Bounded rationality in a P2P lending market," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 13(2), pages 184-201, April.
  • Handle: RePEc:eme:rbfpps:rbf-10-2019-0141
    DOI: 10.1108/RBF-10-2019-0141
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    More about this item

    Keywords

    Peer-to-peer lending; Bounded rationality; Decision making; Repayment performance; Binary logit regression; D82; G14; G39; O39;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G39 - Financial Economics - - Corporate Finance and Governance - - - Other
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

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