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Nonparametric testing for information asymmetry in the mortgage servicing market

Author

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  • Jedidi, Helmi

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Dionne, Georges

    (HEC Montreal, Canada Research Chair in Risk Management)

Abstract

Our objective is to test for evidence of information asymmetry in the mortgage servicing market. Does the sale of mortgage servicing rights (MSR) by the initial lender to a second servicing institution unveil any residual asymmetric information? We are the first to analyze the originator’s selling choice of MSR. We use a large sample of U.S. mortgages that were securitized through the private-label channel during the period of January 2000 to December 2013 (more than 5 million observations). We propose a new nonparametric instrumental variable testing procedure to account for potential endogeneity. For robustness, we present parametric analyses to corroborate our results using instrumental variables. Our empirical results provide strong support for the presence of second-stage asymmetric information in the mortgage servicing market.

Suggested Citation

  • Jedidi, Helmi & Dionne, Georges, 2019. "Nonparametric testing for information asymmetry in the mortgage servicing market," Working Papers 19-1, HEC Montreal, Canada Research Chair in Risk Management, revised 28 Oct 2019.
  • Handle: RePEc:ris:crcrmw:2019_001
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    References listed on IDEAS

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    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. Che-Chun Lin & Lan-Chih Ho, 2005. "Valuing Individual Mortgage Servicing Contracts: A Comparison between Adjustable Rate Mortgages and Fixed Rate Mortgages," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 131-146.
    3. Gregory S. Crawford & Nicola Pavanini & Fabiano Schivardi, 2018. "Asymmetric Information and Imperfect Competition in Lending Markets," American Economic Review, American Economic Association, vol. 108(7), pages 1659-1701, July.
    4. Georges Dionne & Mélissa La Haye & Anne-Sophie Bergerès, 2015. "Does asymmetric information affect the premium in mergers and acquisitions?," Canadian Journal of Economics, Canadian Economics Association, vol. 48(3), pages 819-852, August.
    5. McConnell, John J., 1976. "Valuation of a Mortgage Company's Servicing Portfolio," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 11(3), pages 433-453, September.
    6. Jaap H. Abbring & Pierre-André Chiappori & Jean Pinquet, 2003. "Moral Hazard and Dynamic Insurance Data," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 767-820, June.
    7. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    8. Liangjun Su & Martin Spindler, 2013. "Nonparametric Testing for Asymmetric Information," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 208-225, April.
    9. Li, Qi & Racine, Jeffrey S, 2008. "Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 423-434.
    10. Georges Dionne & Pascal St-Amour & Désiré Vencatachellum, 2009. "Asymmetric Information and Adverse Selection in Mauritian Slave Auctions," Review of Economic Studies, Oxford University Press, vol. 76(4), pages 1269-1295.
    11. Benjamin J. Keys & Amit Seru & Vikrant Vig, 2012. "Lender Screening and the Role of Securitization: Evidence from Prime and Subprime Mortgage Markets," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2071-2108.
    12. Racine, Jeffrey S., 2008. "Nonparametric Econometrics: A Primer," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(1), pages 1-88, March.
    13. Agarwal, Sumit & Chang, Yan & Yavas, Abdullah, 2012. "Adverse selection in mortgage securitization," Journal of Financial Economics, Elsevier, vol. 105(3), pages 640-660.
    14. Malekan, Sara & Dionne, Georges, 2014. "Securitization and optimal retention under moral hazard," Journal of Mathematical Economics, Elsevier, vol. 55(C), pages 74-85.
    15. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    16. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2013. "Separating Moral Hazard From Adverse Selection And Learning In Automobile Insurance: Longitudinal Evidence From France," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 897-917, August.
    17. Georges Dionne & Christian Gourieroux & Charles Vanasse, 2001. "Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 444-473, April.
    18. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    19. Jaap H. Abbring & Pierre-André Chiappori & Jean Pinquet, 2003. "Moral Hazard and Dynamic Insurance Data," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 767-820, June.
    20. Georges Dionne (ed.), 2013. "Handbook of Insurance," Springer Books, Springer, edition 2, number 978-1-4614-0155-1, September.
    21. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 307-362.
    22. Albertazzi, Ugo & Eramo, Ginette & Gambacorta, Leonardo & Salleo, Carmelo, 2015. "Asymmetric information in securitization: An empirical assessment," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 33-49.
    23. Brent Ambrose & Michael LaCour-Little & Anthony Sanders, 2005. "Does Regulatory Capital Arbitrage, Reputation, or Asymmetric Information Drive Securitization?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 28(1), pages 113-133, October.
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    Cited by:

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    2. Xiaoqi Zhang & Yi Chen & Yi Yao, 2021. "Dynamic information asymmetry in micro health insurance: implications for sustainability," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 468-507, July.

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    More about this item

    Keywords

    Mortgage servicing market; securitization; information asymmetry test; parametric model; nonparametric model; kernel estimation; instrumental variable; causality;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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