IDEAS home Printed from https://ideas.repec.org/p/swn/wpaper/2018-25.html
   My bibliography  Save this paper

Role of Verification in Peer-to-Peer Lending

Author

Listed:
  • Oleksandr Talavera

    () (School of Management, Swansea University)

  • Haofeng Xu

    () (School of Management, Swansea University)

Abstract

Using data from a leading Chinese Peer-to-Peer (P2P) lending platform from 2012 to 2015, we investigate the role of verification in the P2P lending market. We find that borrowers with thorough and complete verification are more likely to obtain funding and also less likely to default on loans. We also find that borrowers that have incomplete verification are more likely to upwardly misrepresent their income. This leads to higher default rates for this group when compared to the default rates of more thoroughly verified borrowers. The further analysis documents that returning borrowers are more likely to maintain a good credit record. We discuss the implications of our findings for the role of verification in the growing P2P lending sector and the design of a stable financial system.

Suggested Citation

  • Oleksandr Talavera & Haofeng Xu, 2018. "Role of Verification in Peer-to-Peer Lending," Working Papers 2018-25, Swansea University, School of Management.
  • Handle: RePEc:swn:wpaper:2018-25
    as

    Download full text from publisher

    File URL: https://rahwebdav.swan.ac.uk/repec/pdf/WP2018-25.pdf
    File Function: First version, 2018
    Download Restriction: no

    References listed on IDEAS

    as
    1. Atif Mian & Amir Sufi, 2017. "Fraudulent Income Overstatement on Mortgage Applications During the Credit Expansion of 2002 to 2005," Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1832-1864.
    2. Allen, Franklin & Qian, Jun & Qian, Meijun, 2005. "Law, finance, and economic growth in China," Journal of Financial Economics, Elsevier, vol. 77(1), pages 57-116, July.
    3. Eid, Nourhan & Maltby, Josephine & Talavera, Oleksandr, 2016. "Income Rounding and Loan Performance in the Peer-to-Peer Market," MPRA Paper 72852, University Library of Munich, Germany.
    4. Burtch, Gordon & Ghose, Anindya & Wattal, Sunil, 2015. "The hidden cost of accommodating crowdfunder privacy preferences: a randomized field experiment," Journal of Financial Perspectives, EY Global FS Institute, vol. 3(3), pages 138-154.
    5. Seth M. Freedman & Ginger Zhe Jin, 2011. "Learning by Doing with Asymmetric Information: Evidence from Prosper.com," NBER Working Papers 16855, National Bureau of Economic Research, Inc.
    6. Michael Spence, 2002. "Signaling in Retrospect and the Informational Structure of Markets," American Economic Review, American Economic Association, vol. 92(3), pages 434-459, June.
    7. Gordon Burtch & Anindya Ghose & Sunil Wattal, 2015. "The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment," Management Science, INFORMS, vol. 61(5), pages 949-962, May.
    8. Alberto Abadie & Guido W. Imbens, 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 1-11, January.
    9. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    10. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, Oxford University Press, vol. 124(4), pages 1449-1496.
    11. Bester, Helmut, 1985. "Screening vs. Rationing in Credit Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 75(4), pages 850-855, September.
    12. Milne, Alistair & Parboteeah, Paul, 2016. "The Business Models and Economics of Peer-to-Peer Lending," ECRI Papers 11594, Centre for European Policy Studies.
    13. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    14. repec:bla:jfinan:v:71:y:2016:i:6:p:2637-2686 is not listed on IDEAS
    15. repec:bla:joares:v:36:y:1998:i:1:p:57-70 is not listed on IDEAS
    16. Wei Jiang & Ashlyn Aiko Nelson & Edward Vytlacil, 2014. "Liar's Loan? Effects of Origination Channel and Information Falsification on Mortgage Delinquency," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 1-18, March.
    17. repec:spr:infosf:v:19:y:2017:i:3:d:10.1007_s10796-017-9751-5 is not listed on IDEAS
    18. Wendy Edelberg, 2003. "Risk-based pricing of interest rates in household loan markets," Finance and Economics Discussion Series 2003-62, Board of Governors of the Federal Reserve System (U.S.).
    19. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    20. Mark J. Garmaise, 2015. "Borrower Misreporting and Loan Performance," Journal of Finance, American Finance Association, vol. 70(1), pages 449-484, February.
    21. Devin G. Pope & Justin R. Sydnor, 2011. "What’s in a Picture?: Evidence of Discrimination from Prosper.com," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 53-92.
    22. Miller, Sarah, 2015. "Information and default in consumer credit markets: Evidence from a natural experiment," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 45-70.
    23. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    24. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    25. Jefferson Duarte & Stephan Siegel & Lance Young, 2012. "Trust and Credit: The Role of Appearance in Peer-to-peer Lending," Review of Financial Studies, Society for Financial Studies, vol. 25(8), pages 2455-2484.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Information asymmetry; verification; P2P; income exaggeration;

    JEL classification:

    • 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

    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:swn:wpaper:2018-25. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oleksandr Talavera). General contact details of provider: http://edirc.repec.org/data/edswauk.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.