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Expert imitation in P2P markets

Author

Listed:
  • Ge Gao
  • Mustafa Caglayan
  • Yuelei Li
  • Oleksandr Talavera

Abstract

This paper investigates expert bidding imitation in peer‐to‐peer lending platforms. We employ data from Renrendai.com, which contains information of about 170,000 investors who placed almost four million bids on 111,234 loan listings from 2010 to 2018. The experts are defined as investors who either have more central roles or who spend more time or money on the network. We find that an average investor mimics the bids of expert lenders. Inactive lenders learn top investors’ lending behaviour through observational learning and then, follow their actions, although they do not know the experts’ identity. Finally, we show that experts rarely imitate other experts, yet they exhibit herding behaviour.

Suggested Citation

  • Ge Gao & Mustafa Caglayan & Yuelei Li & Oleksandr Talavera, 2021. "Expert imitation in P2P markets," Manchester School, University of Manchester, vol. 89(5), pages 470-485, September.
    • Handle: RePEc:bla:manchs:v:89:y:2021:i:5:p:470-485
    DOI: 10.1111/manc.12321
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    References listed on IDEAS

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    1. Herzenstein, Michal & Dholakia, Utpal M. & Andrews, Rick L., 2011. "Strategic Herding Behavior in Peer-to-Peer Loan Auctions," Journal of Interactive Marketing, Elsevier, vol. 25(1), pages 27-36.
    2. Laurens Rook, 2006. "An Economic Psychological Approach to Herd Behavior," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(1), pages 75-95, March.
    3. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    4. Mustafa Caglayan & Oleksandr Talavera & Lin Xiong & Jing Zhang, 2022. "What does not kill us makes us stronger: the story of repetitive consumer loan applications," The European Journal of Finance, Taylor & Francis Journals, vol. 28(1), pages 46-65, January.
    5. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2018. "The role of punctuation in P2P lending: Evidence from China," Economic Modelling, Elsevier, vol. 68(C), pages 634-643.
    6. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    7. Sylwester, Kevin, 2000. "Income inequality, education expenditures, and growth," Journal of Development Economics, Elsevier, vol. 63(2), pages 379-398, December.
    8. repec:zbw:bofitp:2019_022 is not listed on IDEAS
    9. Arieli, Itai, 2017. "Payoff externalities and social learning," Games and Economic Behavior, Elsevier, vol. 104(C), pages 392-410.
    10. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    11. Duncan J. Watts & Peter Sheridan Dodds, 2007. "Influentials, Networks, and Public Opinion Formation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 441-458, May.
    12. Kahle, Lynn R & Homer, Pamela M, 1985. "Physical Attractiveness of the Celebrity Endorser: A Social Adaptation Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 954-961, March.
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    Cited by:

    1. Caglayan, Mustafa & Talavera, Oleksandr & Xiong, Lin, 2022. "Female small business owners in China: Discouraged, not discriminated," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    2. Caglayan, Mustafa & Talavera, Oleksandr & Zhang, Wei, 2021. "Herding behaviour in P2P lending markets," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 27-41.
    3. Suárez-Gargallo, Carlos & Zaragoza-Sáez, Patrocinio, 2023. "A comprehensive bibliometric study of the balanced scorecard," Evaluation and Program Planning, Elsevier, vol. 97(C).

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    More about this item

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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