IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/m4tps_v1.html
   My bibliography  Save this paper

FinTech Lending under Austerity

Author

Listed:
  • Divakaruni, Anantha
  • Alperovych, Yan
  • Le Grand, François

Abstract

We document public welfare spending as an important growth driver of FinTech lending. Examining the massive austerity-led cuts to local welfare spending initiated by the UK government in 2010, we show that the gradual uneven rollback of the local welfare state since then is strongly associated with a rise in demand for peer-to-peer (P2P) consumer loans among affected areas, primarily in areas facing more banking and digital exclusion. P2P loans issued in austerity-affected areas are more expensive compared to those issued in unaffected areas, consistent with the P2P platform’s risk pricing sensitivity to higher default rates in affected areas. Overall, our findings show that P2P lending, as an alternative means to household finance, can help smooth cuts in welfare transfers particularly among households in economically deprived areas.

Suggested Citation

  • Divakaruni, Anantha & Alperovych, Yan & Le Grand, François, 2022. "FinTech Lending under Austerity," OSF Preprints m4tps_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:m4tps_v1
    DOI: 10.31219/osf.io/m4tps_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/62f0f414da7e491d0893c9dd/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/m4tps_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:osf:osfxxx:m4tps_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.