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Financial Accelerator Theory and the Russian Mortgage Market

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  • Stolbov, M.

    (Moscow State Institute of International Relations (University) Ministry of Foreign Affairs of the Russian Federation, Moscow, Russia)

Abstract

In the article the analysis of the crisis impact on the Russian mortgage market is carried out from the financial accelerator perspective. It is proved that the level of financial sustainability of banks and lenders shortly before the crisis predetermined their performance during the most acute phase of the turmoil. The loan-to-value and payment-income ratios have a non-linear link with mortgage loan refinancing volumes in the secondary market. In the primary market excessive mortgage indebtedness measured as a share of mortgage portfolio to total consumer loans outstanding determined the relative importance of financial accelerator mechanism in a given region. In complete accordance with the "flight to quality" effect closely related to the financial accelerator mechanism, the biggest Russian banks and the entities controlled by non-residents with particular emphasis on mortgage lending turned out to be the most successful players in the mortgage market during the crisis. In the regional dimension the "flight to quality" effect led to the shrinkage of interregional mortgage loans as well as to the increase of the share of the Moscow based banks' in the market. These trends were discovered by means of Grubel-Lloyd index.

Suggested Citation

  • Stolbov, M., 2012. "Financial Accelerator Theory and the Russian Mortgage Market," Journal of the New Economic Association, New Economic Association, vol. 13(1), pages 79-98.
  • Handle: RePEc:nea:journl:y:2012:i:13:p:79-98
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    References listed on IDEAS

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    1. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    2. Christopher D. Carroll & Misuzu Otsuka & Jiri Slacalek, 2011. "How Large Are Housing and Financial Wealth Effects? A New Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 55-79, February.
    3. Fabio Natalucci & Andrew Levin, 2003. "The Non-Linearity of the Financial Accelerator," Computing in Economics and Finance 2003 130, Society for Computational Economics.
    4. Matteo Iacoviello, 2005. "House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle," American Economic Review, American Economic Association, vol. 95(3), pages 739-764, June.
    5. Case Karl E. & Quigley John M. & Shiller Robert J., 2005. "Comparing Wealth Effects: The Stock Market versus the Housing Market," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-34, May.
    6. N. Kosareva & A. Tumanov., 2007. "Evaluation of Housing Affordability in Russia," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    7. Janine Aron & John V. Duca & John N. Muellbauer & Keiko Murata & Anthony Murphy, 2010. "Credit, housing collateral and consumption: evidence from the UK, Japan and the US," Working Papers 1002, Federal Reserve Bank of Dallas.
    8. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    9. Giovanni Dell’Ariccia & Deniz Igan & Luc Laeven, 2012. "Credit Booms and Lending Standards: Evidence from the Subprime Mortgage Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(2‐3), pages 367-384, March.
    10. Richard Disney & Sarah Bridges & John Gathergood, 2006. "Housing Wealth and Household Indebtedness: Is there a Household 'Financial Accelerator'?," Discussion Papers 06/01, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    11. Jeremy C. Stein, 1995. "Prices and Trading Volume in the Housing Market: A Model with Down-Payment Effects," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 379-406.
    12. Chiuri, Maria Concetta & Jappelli, Tullio, 2003. "Financial market imperfections and home ownership: A comparative study," European Economic Review, Elsevier, vol. 47(5), pages 857-875, October.
    13. Heitor Almeida & Murillo Campello & Crocker Liu, 2006. "The Financial Accelerator: Evidence from International Housing Markets," Review of Finance, European Finance Association, vol. 10(3), pages 321-352, September.
    14. M. Stolbov., 2009. "The Evolution of Monetary Theories of Business Cycles," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 7.
    15. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    16. Sternik, G., 2009. "Recession in the Market of Residential Construction and Real Estate in Russia," Journal of the New Economic Association, New Economic Association, issue 3-4, pages 185-207.
    17. Vahram Stepanyan & Mr. Tigran Poghosyan & Aidyn Bibolov, 2010. "House Price Determinants in Selected Countries of the Former Soviet Union," IMF Working Papers 2010/104, International Monetary Fund.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    mortgage lending; financial accelerator; wealth effect; loan-to-value ratio; collateral constraint; budget constraint; flight to quality effect;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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