IDEAS home Printed from https://ideas.repec.org/p/ucd/wpaper/201005.html
   My bibliography  Save this paper

Housing Risk and Return: Evidence From a Housing Asset-Pricing Model

Author

Listed:
  • Karl Case

    (Wellesley College)

  • John Cotter

    (University College Dublin)

  • Stuart Gabriel

    (UCLA)

Abstract

This paper investigates the risk-return relationship in determination of housing asset pricing. In so doing, the paper evaluates behavioral hypotheses advanced by Case and Shiller (1988, 2002, 2009) in studies of boom and post-boom housing markets. The paper specifies and tests a housing asset pricing model (H-CAPM), whereby expected returns of metropolitan-specific housing markets are equated to the market return, as represented by aggregate US house price time-series. We augment the model by examining the impact of additional risk factors including aggregate stock market returns, idiosyncratic risk, momentum, and Metropolitan Statistical Area (MSA) size effects. Further, we test the robustness of H-CAPM results to inclusion of controls for socioeconomic variables commonly represented in the house price literature, including changes in employment, affordability, and foreclosure incidence. Consistent with the traditional CAPM, we find a sizable and statistically significant influence of the market factor on MSA house price returns. Moreover we show that market betas have varied substantially over time. Also, we find the basic housing CAPM results are robust to the inclusion of other explanatory variables, including standard measures of risk and other housing market fundamentals. Additional tests of the validity of the model using the Fama-MacBeth framework offer further strong support of a positive risk and return relationship in housing. Our findings are supportive of the application of a housing investment risk-return framework in explanation of variation in metro-area cross-section and time-series US house price returns. Further, results strongly corroborate Case-Shiller behavioral research indicating the importance of speculative forces in the determination of U.S. housing returns.

Suggested Citation

  • Karl Case & John Cotter & Stuart Gabriel, 2010. "Housing Risk and Return: Evidence From a Housing Asset-Pricing Model," Working Papers 201005, Geary Institute, University College Dublin.
  • Handle: RePEc:ucd:wpaper:201005
    as

    Download full text from publisher

    File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp201005.pdf
    File Function: First version, 2010
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Charles Himmelberg & Christopher Mayer & Todd Sinai, 2005. "Assessing High House Prices: Bubbles, Fundamentals and Misperceptions," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 67-92, Fall.
    2. Markus K. Brunnermeier & Christian Julliard, 2008. "Money Illusion and Housing Frenzies," Review of Financial Studies, Society for Financial Studies, vol. 21(1), pages 135-180, January.
    3. Hanno N. Lustig & Stijn G. Van Nieuwerburgh, 2005. "Housing Collateral, Consumption Insurance, and Risk Premia: An Empirical Perspective," Journal of Finance, American Finance Association, vol. 60(3), pages 1167-1219, June.
    4. Piazzesi, Monika & Schneider, Martin & Tuzel, Selale, 2007. "Housing, consumption and asset pricing," Journal of Financial Economics, Elsevier, vol. 83(3), pages 531-569, March.
    5. Edward L. Glaeser & Joseph Gyourko, 2006. "Housing Dynamics," NBER Working Papers 12787, National Bureau of Economic Research, Inc.
    6. Shanken, Jay, 1992. "On the Estimation of Beta-Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 1-33.
    7. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Lehmann, Bruce N., 1990. "Residual risk revisited," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 71-97.
    9. Stuart A. Gabriel & Joe P. Mattey & William L. Wascher, 1999. "House price differentials and dynamics: evidence from the Los Angeles and San Francisco metropolitan areas," Economic Review, Federal Reserve Bank of San Francisco, pages 3-22.
    10. Amit Goyal & Pedro Santa-Clara, 2003. "Idiosyncratic Risk Matters!," Journal of Finance, American Finance Association, vol. 58(3), pages 975-1008, June.
    11. Case, Bradford & Quigley, John M, 1991. "The Dynamics of Real Estate Prices," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 50-58, February.
    12. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross-Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    13. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Assorted Links
      by Martin Ryan in Geary Behaviour Centre on 2010-04-06 00:32:00

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John Cotter & Stuart Gabriel & Richard Roll, 2011. "Integration and Contagion in US Housing Markets," Papers 1110.4119, arXiv.org.
    2. M.I. Dröes & H Garretsen & W.J.J. Manshanden, 2012. "The Diversification Benefits of Free Trade in House Value," Working Papers 12-03, Utrecht School of Economics.
    3. John Cotter & Stuart Gabriel & Richard Roll, 2012. "Can metropolitan housing risk be diversified? A cautionary tale from the recent boom and bust," Working Papers 201217, Geary Institute, University College Dublin.
    4. Dröes, Martijn I. & Hassink, Wolter H.J., 2013. "House price risk and the hedging benefits of home ownership," Journal of Housing Economics, Elsevier, vol. 22(2), pages 92-99.
    5. Eli Beracha & Hilla Skiba, 2013. "Findings from a Cross-Sectional Housing Risk-Factor Model," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 289-309, August.
    6. Steven F. Venti, 2015. "Comment on "House Price Volatility and the Housing Ladder"," NBER Chapters,in: Insights in the Economics of Aging, pages 119-125 National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    asset pricing; house price returns; risk factors;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:ucd:wpaper:201005. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Geary Tech). General contact details of provider: http://edirc.repec.org/data/geucdie.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.