IDEAS home Printed from https://ideas.repec.org/p/eer/wpalle/16-03e.html
   My bibliography  Save this paper

Key Determinants of Demand, Credit Underwriting, and Performance on Government-Insured Mortgage Loans in Russia

Author

Listed:
  • Lozinskaia Agata
  • Ozhegov Evgeniy

Abstract

This research analyses the process of lending from Russian state-owned mortgage provider. Two-level lending and insurance of mortgage system lead to substantially higher default rates for insured loans. This means that underwriting incentives for regional operators of government mortgage loans perform poorly. We use loan-level data of issued mortgage by one regional government mortgage provided in order to understand the interdependence between underwriting, choice of contract terms including loan insurance by borrower and loan performance. We found an evidence of a difference in credit risk measures for insured and uninsured loans and interest income.

Suggested Citation

  • Lozinskaia Agata & Ozhegov Evgeniy, 2016. "Key Determinants of Demand, Credit Underwriting, and Performance on Government-Insured Mortgage Loans in Russia," EERC Working Paper Series 16/03e, EERC Research Network, Russia and CIS.
    • Handle: RePEc:eer:wpalle:16/03e
    as

    Download full text from publisher

    File URL: http://eercnetwork.com/default/download/creater/working_papers/file/163ac1572cd861a41b115d86c5f4794ef4e7adf3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Evgeniy Ozhegov, 2015. "Identification in a class of nonparametric simultaneous equation models with sample selection (in Russian)," Quantile, Quantile, issue 13, pages 15-23, May.
    2. Donald W.K. Andrews & James H. Stock, 2005. "Inference with Weak Instruments," Cowles Foundation Discussion Papers 1530, Cowles Foundation for Research in Economics, Yale University.
    3. Pavlov, Andrey D, 2001. "Competing Risks of Mortgage Termination: Who Refinances, Who Moves, and Who Defaults?," The Journal of Real Estate Finance and Economics, Springer, vol. 23(2), pages 185-211, September.
    4. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, September.
    5. Michael LaCour-Little, 2007. "The Home Purchase Mortgage Preferences of Low- and Moderate-Income Households," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 35(3), pages 265-290, September.
    6. Roberto G. Quercia & Michael A. Stegman & Walter R. Davis, 2007. "The impact of predatory loan terms on subprime foreclosures: The special case of prepayment penalties and balloon payments," Housing Policy Debate, Taylor & Francis Journals, vol. 18(2), pages 311-346, January.
    7. Qi, Min & Zhao, Xinlei, 2011. "Comparison of modeling methods for Loss Given Default," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2842-2855, November.
    8. Yan Zhang, 2013. "Fair Lending Analysis of Mortgage Pricing: Does Underwriting Matter?," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 131-151, January.
    9. Qi, Min & Yang, Xiaolong, 2009. "Loss given default of high loan-to-value residential mortgages," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 788-799, May.
    10. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    11. Robert F. Phillips & Robert P. Trost & Anthony M.J. Yezer, 1994. "Bias in estimates of discrimination and default in mortgage lending: the effects of simultaneity and self-selection," Proceedings, Federal Reserve Bank of Philadelphia, pages 197-222.
    12. Yongheng Deng & John M. Quigley & Robert Van Order, 2000. "Mortgage Terminations, Heterogeneity and the Exercise of Mortgage Options," Econometrica, Econometric Society, vol. 68(2), pages 275-308, March.
    13. Mitali Das & Whitney K. Newey & Francis Vella, 2003. "Nonparametric Estimation of Sample Selection Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 33-58.
    14. Archer, Wayne R. & Ling, David C. & McGill, Gary A., 1996. "The effect of income and collateral constraints on residential mortgage terminations," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 235-261, June.
    15. Marina Khmelnitskaya, 2014. "Russian housing finance policy: state-led institutional evolution," Post-Communist Economies, Taylor & Francis Journals, vol. 26(2), pages 149-175, June.
    16. Foote, Christopher L. & Gerardi, Kristopher & Willen, Paul S., 2008. "Negative equity and foreclosure: Theory and evidence," Journal of Urban Economics, Elsevier, vol. 64(2), pages 234-245, September.
    17. Neil Bhutta & Jane K. Dokko & Hui Shan, 2010. "The depth of negative equity and mortgage default decisions," Finance and Economics Discussion Series 2010-35, Board of Governors of the Federal Reserve System (U.S.).
    18. Anthony Pennington‐Cross & Giang Ho, 2010. "The Termination of Subprime Hybrid and Fixed‐Rate Mortgages," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 38(3), pages 399-426, September.
    19. Vassilis Lekkas & John M. Quigley & Robert Van Order, 1993. "Loan Loss Severity and Optimal Mortgage Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(4), pages 353-371, December.
    20. Calem, Paul S. & LaCour-Little, Michael, 2004. "Risk-based capital requirements for mortgage loans," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 647-672, March.
    21. Patrick Bajari & Chenghuan Sean Chu & Minjung Park, 2008. "An Empirical Model of Subprime Mortgage Default From 2000 to 2007," NBER Working Papers 14625, National Bureau of Economic Research, Inc.
    22. John M. Clapp & Gerson M. Goldberg & John P. Harding & Michael LaCour‐Little, 2001. "Movers and Shuckers: Interdependent Prepayment Decisions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(3), pages 411-450, March.
    23. Stephen L Ross, 2000. "Mortgage Lending, Sample Selection and Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(4), pages 581-621.
    24. Robert Phillips & Anthony Yezer, 1996. "Self-Selection and Tests for Bias and Risk in Mortgage Lending: Can You Price the Mortgage If You Don’t Know the Process?," Journal of Real Estate Research, Taylor & Francis Journals, vol. 11(1), pages 87-102, January.
    25. Sigrist, Fabio & Stahel, Werner A., 2011. "Using the Censored Gamma Distribution for Modeling Fractional Response Variables with an Application to Loss Given Default," ASTIN Bulletin, Cambridge University Press, vol. 41(2), pages 673-710, November.
    26. Yashkir, Olga & Yashkir, Yuriy, 2013. "Loss Given Default Modelling: Comparative Analysis," MPRA Paper 46147, University Library of Munich, Germany.
    27. Vandell, Kerry D, 1978. "Default Risk under Alternative Mortgage Instruments," Journal of Finance, American Finance Association, vol. 33(5), pages 1279-1296, December.
    28. Leow, Mindy & Mues, Christophe, 2012. "Predicting loss given default (LGD) for residential mortgage loans: A two-stage model and empirical evidence for UK bank data," International Journal of Forecasting, Elsevier, vol. 28(1), pages 183-195.
    29. Bellotti, Tony & Crook, Jonathan, 2012. "Loss given default models incorporating macroeconomic variables for credit cards," International Journal of Forecasting, Elsevier, vol. 28(1), pages 171-182.
    30. Dermine, J. & de Carvalho, C. Neto, 2006. "Bank loan losses-given-default: A case study," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1219-1243, April.
    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. Agata M. Lozinskaia & Evgeniy M. Ozhegov & Alexander M. Karminsky, 2016. "Discontinuity in Relative Credit Losses: Evidence from Defaults on Government-Insured Residential Mortgages," HSE Working papers WP BRP 55/FE/2016, National Research University Higher School of Economics.
    2. Yurchenko, Yurii, 2019. "The impact of macroeconomic factors on collateral value within the framework of expected credit loss calculation," MPRA Paper 97135, University Library of Munich, Germany.
    3. Ozhegov, Evgeniy, 2017. "Estimating the demand function for differentiated product with endogenous characteristics and heterogeneity of preferences: The case of mortgage loans," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 93-115.
    4. Emily Johnston Ross & Lynn Shibut, 2021. "Loss Given Default, Loan Seasoning and Financial Fragility: Evidence from Commercial Real Estate Loans at Failed Banks," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 630-661, November.
    5. Evgeniy M. Ozhegov, 2014. "The Underwriting, Choice And Performance Of Government-Insured Mortgages In Russia," HSE Working papers WP BRP 31/FE/2014, National Research University Higher School of Economics.
    6. Agatha M. Poroshina, 2014. "Credit Risk Modeling Of Residential Mortgage Lending In Russia," HSE Working papers WP BRP 30/FE/2014, National Research University Higher School of Economics.
    7. Reamonn Lyndon & Yvonne McCarthy, 2013. "What Lies Beneath? Understanding Recent Trends in Irish Mortgage Arrears," The Economic and Social Review, Economic and Social Studies, vol. 44(1), pages 117-150.
    8. Chen L. Miller, 2018. "Comparison of Two Affordable Housing Finance Channels," International Real Estate Review, Global Social Science Institute, vol. 21(2), pages 227-250.
    9. Francesca Castelli & Damien Moore & Gabriel Ehrlich & Jeffrey Perry, 2014. "Modeling the Budgetary Costs of FHA's Single Family Mortgage Insurance: Working Paper 2014-05," Working Papers 45711, Congressional Budget Office.
    10. Sumit Agarwal & Yongheng Deng & Jia He, 2020. "Time Preferences, Mortgage Choice and Mortgage Default," International Real Estate Review, Global Social Science Institute, vol. 23(2), pages 151-187.
    11. Ryan M. Goodstein, 2014. "Refinancing Trends among Lower Income and Minority Homeowners during the Housing Boom and Bust," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(3), pages 690-723, September.
    12. Peter-Hendrik Ingermann & Frederik Hesse & Christian Bélorgey & Andreas Pfingsten, 2016. "The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 179-228, August.
    13. Chao Tian & Roberto Quercia & Sarah Riley, 2016. "Unemployment as an Adverse Trigger Event for Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 52(1), pages 28-49, January.
    14. Sumit Agarwal & Yongheng Deng & Jia He, 2020. "Time Preferences, Mortgage Choice and Mortgage Default," International Real Estate Review, Global Social Science Institute, vol. 23(2), pages 777-813.
    15. Kaposty, Florian & Kriebel, Johannes & Löderbusch, Matthias, 2020. "Predicting loss given default in leasing: A closer look at models and variable selection," International Journal of Forecasting, Elsevier, vol. 36(2), pages 248-266.
    16. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
    17. Georgescu, Oana-Maria & Ponte Marques, Aurea & Galow, Benjamin, 2024. "Loss-given-default and macroeconomic conditions," Working Paper Series 2954, European Central Bank.
    18. John Y. Campbell & João F. Cocco, 2015. "A Model of Mortgage Default," Journal of Finance, American Finance Association, vol. 70(4), pages 1495-1554, August.
    19. Xudong An & Yongheng Deng & Eric Rosenblatt & Vincent Yao, 2012. "Model Stability and the Subprime Mortgage Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 545-568, October.
    20. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).

    More about this item

    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

    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:eer:wpalle:16/03e. 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: Anton Pashchenko (email available below). General contact details of provider: http://www.eercnetwork.com .

    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.