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Are investors rational or perceptual in P2P lending?

Author

Listed:
  • Xiao-hong Chen

    (Central South University
    Hunan University of Commerce
    Hunan University of Commerce)

  • Fu-jing Jin

    (Central South University)

  • Qun Zhang

    (Fudan University)

  • Li Yang

    (Hunan University of Commerce
    Hunan University of Commerce)

Abstract

This paper addresses the research on investor decision-making behaviors in peer-to-peer (P2P) lending from the perspective of rationality and sensibility not only to more thoroughly examine the factors affecting P2P lending but also to contribute to P2P platform builders’ and investees’ knowledge. We test investors’ rational choice behaviors using indices such as interest rates and investees’ monthly income and test perceptual choice using the identifiable victim effect. These tests attempt to determine whether investors prefer identifiable investees and whether this identification, as measured by social distance, affects the amount of investment. The panel data collected through the experiments are used to construct Probit and Tobit models, which address a combination of rationality and sensibility. The empirical results show that investors prefer large, short-term, high-interest loans and that investors are more likely to bid for such loans. In addition, investees find it easier to obtain funding when they share similar characteristics—in particular, a birthplace, location or ethnicity—with investors. Moreover, investees find it easier to obtain more funding when they share a similar birthplace, location or occupation with investors, whereas investees with an “identifiable” educational background find securing more funding to be more difficult. Furthermore, for a specific bidding amount, there are substitution effects between occupation and location, occupation and ethnicity, birthplace and education, and birthplace and age, which make it disadvantageous to increase the similarities across those dimensions. Finally, there are complementary effects between education and occupation and between education and age. However, there is an inverted-U relationship between social distance and bidding amount that determines whether rationality or sensibility dominate investors’ decisions.

Suggested Citation

  • Xiao-hong Chen & Fu-jing Jin & Qun Zhang & Li Yang, 2016. "Are investors rational or perceptual in P2P lending?," Information Systems and e-Business Management, Springer, vol. 14(4), pages 921-944, November.
  • Handle: RePEc:spr:infsem:v:14:y:2016:i:4:d:10.1007_s10257-016-0305-z
    DOI: 10.1007/s10257-016-0305-z
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    References listed on IDEAS

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    1. Iyer, Rajkamal & Khwaja, Asim Ijaz & Luttmer, Erzo F. P. & Shue, Kelly, 2009. "Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?," Working Paper Series rwp09-031, Harvard University, John F. Kennedy School of Government.
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    Cited by:

    1. Mousumi Munmun & Dongli Zhang & Charles C. Luo, 2024. "Peer-to-Peer Lending Performance Improvement: Learn from Lean Principles," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(1), pages 101-101, February.
    2. Jiang, Cuixia & Xu, Qifa & Zhang, Weiming & Li, Mengting & Yang, Shanlin, 2018. "Does automatic bidding mechanism affect herding behavior? Evidence from online P2P lending in China," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 39-44.
    3. Chen, Cathy W.S. & Dong, Manh Cuong & Liu, Nathan & Sriboonchitta, Songsak, 2019. "Inferences of default risk and borrower characteristics on P2P lending," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Chen, Pei-Fen & Lo, Shihmin & Tang, Hai-Yuan, 2022. "What if borrowers stop paying their loans? Investors’ rates of return on a peer-to-peer lending platform," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 359-377.
    5. Galit Klein & Zeev Shtudiner & Moti Zwilling, 2023. "Why do peer-to-peer (P2P) lending platforms fail? The gap between P2P lenders' preferences and the platforms’ intentions," Electronic Commerce Research, Springer, vol. 23(2), pages 709-738, June.
    6. Jiang, Jiajun & Liu, Yu-Jane & Lu, Ruichang, 2020. "Social heterogeneity and local bias in peer-to-peer lending – evidence from China," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 302-324.
    7. Oliver Werth & Davinia Rodríguez Cardona & Albert Torno & Michael H. Breitner & Jan Muntermann, 2023. "What determines FinTech success?—A taxonomy-based analysis of FinTech success factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.

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