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Big data pricing in marketplace lending and price discrimination against repeat borrowers: Evidence from China

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  • Tian, Geran
  • Wu, Weixing

Abstract

In this work, we systematically investigate the pricing mechanism change from auction to big data pricing on one of the major marketplace lending platforms in China. We find that big data pricing reduces the average interest rate while the borrowers with delinquency or default histories are assigned higher interest rates. However, repeat borrowers are also faced with growing interest rates, even though they have been paying their debts on time. Further analysis shows that repeat borrowers have lower income and education levels. Moreover, investor returns become less dispersed after pricing with big data, which can be a result of homogeneous loans on the market. The implications of the above findings are discussed.

Suggested Citation

  • Tian, Geran & Wu, Weixing, 2023. "Big data pricing in marketplace lending and price discrimination against repeat borrowers: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:chieco:v:78:y:2023:i:c:s1043951x23000299
    DOI: 10.1016/j.chieco.2023.101944
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    Cited by:

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    More about this item

    Keywords

    Big data; Fintech; Marketplace lending; Peer-to-peer lending; Price discrimination; Fair lending; Behavior-based price discrimination;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth

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