IDEAS home Printed from https://ideas.repec.org/p/zbw/roswps/132.html
   My bibliography  Save this paper

Does borrowers' impatience disclose their hidden information about default risk?

Author

Listed:
  • Kraus, Daniel

Abstract

This chapter provides new evidence on borrowers' hidden information about their riskiness and its link to their impatience. To do so, I analyze consumer loans on the German platform Smava, which has a unique peer-to-peer lending process. Observationally identical but unobservably riskier borrowers offer investors a higher interest rate. This helps them to obtain their loan faster and with a higher probability. Very impatient borrowers who use Smava's instant loan service pay a higher interest rate and have a higher default risk than less impatient borrowers. These findings suggest that borrowers' impatience can be used to screen their riskiness.

Suggested Citation

  • Kraus, Daniel, 2013. "Does borrowers' impatience disclose their hidden information about default risk?," Thuenen-Series of Applied Economic Theory 132, University of Rostock, Institute of Economics.
  • Handle: RePEc:zbw:roswps:132
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/81141/1/767486625.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. William Adams & Liran Einav & Jonathan Levin, 2009. "Liquidity Constraints and Imperfect Information in Subprime Lending," American Economic Review, American Economic Association, vol. 99(1), pages 49-84, March.
    2. Thakor, Anjan V, 1989. "Competitive Equilibrium with Type Convergence in an Asymmetrically Informed Market," The Review of Financial Studies, Society for Financial Studies, vol. 2(1), pages 49-71.
    3. Dean Karlan & Jonathan Zinman, 2009. "Observing Unobservables: Identifying Information Asymmetries With a Consumer Credit Field Experiment," Econometrica, Econometric Society, vol. 77(6), pages 1993-2008, November.
    4. Nataliya Barasinska & Dorothea Schäfer, 2010. "Does Gender Affect Funding Success at the Peer-to-Peer Credit Markets?: Evidence from the Largest German Lending Platform," Discussion Papers of DIW Berlin 1094, DIW Berlin, German Institute for Economic Research.
    5. 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.
    6. Hellmuth Milde & John G. Riley, 1988. "Signaling in Credit Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(1), pages 101-129.
    7. Sumit Agarwal & Souphala Chomsisengphet & Chunlin Liu, 2010. "The Importance of Adverse Selection in the Credit Card Market: Evidence from Randomized Trials of Credit Card Solicitations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 743-754, June.
    8. Chan, Yuk-Shee & Kanatas, George, 1985. "Asymmetric Valuations and the Role of Collateral in Loan Agreements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 17(1), pages 84-95, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arpit Gupta & Christopher Hansman, 2022. "Selection, Leverage, and Default in the Mortgage Market," The Review of Financial Studies, Society for Financial Studies, vol. 35(2), pages 720-770.
    2. Ioannidou, Vasso & Pavanini, Nicola & Peng, Yushi, 2022. "Collateral and asymmetric information in lending markets," Journal of Financial Economics, Elsevier, vol. 144(1), pages 93-121.
    3. 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.
    4. Ahlin, Christian & Gulesci, Selim & Madestam, Andreas & Stryjan, Miri, 2020. "Loan contract structure and adverse selection: Survey evidence from Uganda," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 180-195.
    5. Pavanini, Nicola & Ioannidou, Vasso & Peng, Yushi, 2019. "Collateral and Asymmetric Information in Lending Markets," CEPR Discussion Papers 13905, C.E.P.R. Discussion Papers.
    6. James Wang, 2020. "Screening soft information: evidence from loan officers," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 1287-1322, December.
    7. Sumit Agarwal & Souphala Chomsisengphet & Neale Mahoney & Johannes Stroebel, 2018. "Do Banks Pass through Credit Expansions to Consumers Who want to Borrow?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 129-190.
    8. Song Han & Benjamin J. Keys & Geng Li, 2015. "Information, Contract Design, and Unsecured Credit Supply: Evidence from Credit Card Mailings," Finance and Economics Discussion Series 2015-103, Board of Governors of the Federal Reserve System (U.S.).
    9. Luísa Farinha & Sónia Félix & João A. C. Santos, 2019. "Bank Funding and the Survival of Start-ups," Working Papers w201919, Banco de Portugal, Economics and Research Department.
    10. Blouin, Arthur & Macchiavello, Rocco, 2014. "Tropical Lending: International Prices, Strategic Default and Credit Constraints among Coffee Washing Stations," CAGE Online Working Paper Series 211, Competitive Advantage in the Global Economy (CAGE).
    11. Sumit Agarwal & Souphala Chomsisengphet & Chunlin Liu, 2010. "The Importance of Adverse Selection in the Credit Card Market: Evidence from Randomized Trials of Credit Card Solicitations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 743-754, June.
    12. Fabbri, Daniela & Menichini, Anna Maria C., 2016. "The commitment problem of secured lending," Journal of Financial Economics, Elsevier, vol. 120(3), pages 561-584.
    13. Gary-Bobo, Robert J. & Larribeau, Sophie, 2004. "A structural econometric model of price discrimination in the French mortgage lending industry," International Journal of Industrial Organization, Elsevier, vol. 22(1), pages 101-134, January.
    14. Jimenez, Gabriel & Salas, Vicente & Saurina, Jesus, 2006. "Determinants of collateral," Journal of Financial Economics, Elsevier, vol. 81(2), pages 255-281, August.
    15. Saiying Deng & Vincent J. Intintoli & Andrew Zhang, 2019. "CEO Turnover, Information Uncertainty, and Debt Contracting," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(02), pages 1-54, June.
    16. Bieta, Volker & Broll, Udo & Siebe, Wilfried, 2014. "Collateral in banking policy: On the possibility of signaling," Mathematical Social Sciences, Elsevier, vol. 71(C), pages 137-141.
    17. Scheepens, J.P.J.F., 1993. "Bankruptcy litigation and optimal debt contracts," Other publications TiSEM 64e785e4-4101-4604-a392-3, Tilburg University, School of Economics and Management.
    18. Gary-Bobo, Robert J. & Larribeau, Sophie, 2002. "A Structural Econometric Model of Price Discrimination in the Mortgage Lending Industry," CEPR Discussion Papers 3302, C.E.P.R. Discussion Papers.
    19. Tensie Steijvers & Wim Voordeckers, 2009. "Collateral And Credit Rationing: A Review Of Recent Empirical Studies As A Guide For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 924-946, December.
    20. Sarah Armitage & Noël Bakhtian & Adam B. Jaffe, 2023. "Innovation Market Failures and the Design of New Climate Policy Instruments," NBER Chapters, in: Environmental and Energy Policy and the Economy, volume 5, pages 4-48, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Asymmetric Information; Financial Intermediation; Consumer loans; Patience;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:zbw:roswps:132. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ivrosde.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.