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The Big Tech Lending Model

Author

Listed:
  • Lei Liu
  • Guangli Lu
  • Wei Xiong

Abstract

By comparing uncollateralized business loans made by a big tech lending program with conventional bank loans, we find that big tech loans tend to be smaller and have higher interest rates and that borrowers of big tech loans tend to repay far before maturity and borrow more frequently. These patterns remain for borrowers with access to bank credit. Our findings highlight the big tech lender’s roles in serving borrowers’ short-term liquidity rather than their long-term financing needs. Through this model, big tech lending facilitates credit to borrowers underserved by banks without experiencing more-severe adverse selection or incurring greater risks than banks (even during the COVID-19 crisis).

Suggested Citation

  • Lei Liu & Guangli Lu & Wei Xiong, 2022. "The Big Tech Lending Model," NBER Working Papers 30160, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:30160
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    Citations

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    Cited by:

    1. DeFusco, Anthony A. & Tang, Huan & Yannelis, Constantine, 2022. "Measuring the welfare cost of asymmetric information in consumer credit markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 821-840.
    2. Yiping Huang & Xiang Li & Han Qiu & Changhua Yu, 2023. "Big tech credit and monetary policy transmission: micro-level evidence from China," BIS Working Papers 1084, Bank for International Settlements.
    3. Bouvard, Matthieu & Casamatta, Catherine & Xiong, Rui, 2022. "Lending and monitoring: Big Tech vs Banks," TSE Working Papers 22-1386, Toulouse School of Economics (TSE).
    4. Huang, Yiping & Li, Xiang & Qiu, Han & Su, Dan & Yu, Changhua, 2024. "Bigtech credit, small business, and monetary policy transmission: Theory and evidence," IWH Discussion Papers 18/2022, Halle Institute for Economic Research (IWH), revised 2024.
    5. Dong, Yingwei & Gou, Qin & Qiu, Han, 2023. "Big tech credit score and default risk ——Evidence from loan-level data of a representative microfinance company in China," China Economic Review, Elsevier, vol. 81(C).
    6. Huang, Yiping & Li, Zhenhua & Qiu, Han & Tao, Sun & Wang, Xue & Zhang, Longmei, 2023. "BigTech credit risk assessment for SMEs," China Economic Review, Elsevier, vol. 81(C).
    7. Bethlendi, András & Szőcs, Árpád, 2023. "A technológiai óriásvállalatok hatása a pénzügy-technológiai ökoszisztémákra [The impact of tech giants on fintech ecosystems]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 213-232.
    8. Paul Beaumont & Huan Tang & Eric Vansteenberghe, "undated". "Effets collatéraux : le rôle des Fintechs dans le financement des petites et moyennes entreprises," Analyse et synthèse 157, Banque de France.
    9. Paul Beaumont & Huan Tang & Éric Vansteenberghe, 2024. "Collateral Effects: The Role of FinTech in Small Business Lending [Effets collatéraux : le rôle des Fintechs dans le financement des petites et moyennes entreprises]," Débats économiques et financiers 42, Banque de France.

    More about this item

    JEL classification:

    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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