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A Quantitative Model of "Too Big to Fail,"' House Prices, and the Financial Crisis

Author

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  • Acikgoz, Omer
  • Kahn, James

Abstract

This paper develops a quantitative model that can rationally explain a sizeable part of the dramatic rise and fall of house prices in the 2000-2009 period. The model is driven by the assumption that the government cannot resist bailing out large financial institutions, but can mitigate the consequences by limiting financial institutions' risk-taking. An episode of regulatory forbearance, modeled as a relaxation of loan-to-value limits for conforming mortgages, is welfare-reducing, results in opportunistic behavior and, for plausible parameters inflates house prices and price/rent ratios by roughly twenty percent. This "boom" is followed by a collapse with high default rates.

Suggested Citation

  • Acikgoz, Omer & Kahn, James, 2016. "A Quantitative Model of "Too Big to Fail,"' House Prices, and the Financial Crisis," MPRA Paper 71831, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:71831
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    File URL: https://mpra.ub.uni-muenchen.de/76385/1/MPRA_paper_76385.pdf
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    References listed on IDEAS

    as
    1. Jack Favilukis & Sydney C. Ludvigson & Stijn Van Nieuwerburgh, 2017. "The Macroeconomic Effects of Housing Wealth, Housing Finance, and Limited Risk Sharing in General Equilibrium," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 140-223.
    2. Boz, Emine & Mendoza, Enrique G., 2014. "Financial innovation, the discovery of risk, and the U.S. credit crisis," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 1-22.
    3. Adelino, Manuel & Gerardi, Kristopher & Willen, Paul S., 2013. "Why don't Lenders renegotiate more home mortgages? Redefaults, self-cures and securitization," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 835-853.
    4. Satyajit Chatterjee & Burcu Eyigungor, 2015. "A Quantitative Analysis of the US Housing and Mortgage Markets and the Foreclosure Crisis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(2), pages 165-184, April.
    5. Marjorie Flavin & Takashi Yamashita, 2002. "Owner-Occupied Housing and the Composition of the Household Portfolio," American Economic Review, American Economic Association, vol. 92(1), pages 345-362, March.
    6. Andra C. Ghent & Marianna Kudlyak, 2011. "Recourse and Residential Mortgage Default: Evidence from US States 1," The Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 3139-3186.
    7. Nobuhiro Kiyotaki & Alexander Michaelides & Kalin Nikolov, 2011. "Winners and Losers in Housing Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(2‐3), pages 255-296, March.
    8. Dean Corbae & Erwan Quintin, 2015. "Leverage and the Foreclosure Crisis," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 1-65.
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    Cited by:

    1. James A Kahn & Benjamin S Kay, 2020. "The impact of credit risk mispricing on mortgage lending during the subprime boom," BIS Working Papers 875, Bank for International Settlements.
    2. James A. Kahn & Benjamin S. Kay, 2019. "The Impact of Credit Risk Mispricing on Mortgage Lending during the Subprime Boom," Finance and Economics Discussion Series 2019-046, Board of Governors of the Federal Reserve System (U.S.).

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    More about this item

    Keywords

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    JEL classification:

    • E02 - Macroeconomics and Monetary Economics - - General - - - Institutions and the Macroeconomy
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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