IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/30160.html
   My bibliography  Save this paper

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
    Note: AP CF ME
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w30160.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Huang, Yiping & Li, Xiang & Qiu, Han & Yu, Changhua, 2023. "BigTech credit and monetary policy transmission: Micro-level evidence from China," IWH Discussion Papers 18/2022, Halle Institute for Economic Research (IWH), revised 2023.
    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. 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).
    5. 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).
    6. 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.
    7. 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:30160. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.