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Housing bubble implications: The perspective of housing price predictability

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  • Meichi Huang

    () (National Taipei University)

Abstract

The paper extracts housing bubble implications from the perspective of housing price predictability. Specifically, it examines predictive powers of the good-time-to-buy (GTTB) index and the federal funds rate in nationwide and state-level housing price returns by means of out-of-sample tests suggested in Rapach and Wohar (2006). The GTTB index is used to proxy for households' expectations, and the interest rate represents the economic fundamental. The empirical results indicate the predictive advantage of the GTTB index over the federal funds rate, and suggest higher vulnerability to bubble-like housing cycles in the housing markets of California, New York, New Jersey, Washington, Massachusetts and Arizona than other states. Overall, the study sheds insights into divergent predictability patterns between in-sample and out-of-sample forecasts, those between aggregate and disaggregate housing price dynamics, and those across state-level housing markets.

Suggested Citation

  • Meichi Huang, 2013. "Housing bubble implications: The perspective of housing price predictability," Economics Bulletin, AccessEcon, vol. 33(1), pages 586-596.
  • Handle: RePEc:ebl:ecbull:eb-12-00735
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I1-P55.pdf
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    References listed on IDEAS

    as
    1. Stiglitz, Joseph E, 1990. "Symposium on Bubbles," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 13-18, Spring.
    2. Kilian, Lutz, 1999. "Exchange Rates and Monetary Fundamentals: What Do We Learn from Long-Horizon Regressions?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 491-510, Sept.-Oct.
    3. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
    4. Marek Jarocinski & Frank Smets, 2008. "House prices and the stance of monetary policy," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 339-366.
    5. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    6. Del Negro, Marco & Otrok, Christopher, 2007. "99 Luftballons: Monetary policy and the house price boom across U.S. states," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1962-1985, October.
    7. Robert Edelstein & Desmond Tsang, 2007. "Dynamic Residential Housing Cycles Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 35(3), pages 295-313, October.
    8. Dynan, Karen E. & Elmendorf, Douglas W. & Sichel, Daniel E., 2006. "Can financial innovation help to explain the reduced volatility of economic activity?," Journal of Monetary Economics, Elsevier, vol. 53(1), pages 123-150, January.
    9. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    10. Rapach, David E. & Strauss, Jack K., 2009. "Differences in housing price forecastability across US states," International Journal of Forecasting, Elsevier, vol. 25(2), pages 351-372.
    11. Sommervoll, Dag Einar & Borgersen, Trond-Arne & Wennemo, Tom, 2010. "Endogenous housing market cycles," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 557-567, March.
    12. Davis, Morris A. & Heathcote, Jonathan, 2007. "The price and quantity of residential land in the United States," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2595-2620, November.
    13. Nelson, Charles R & Kim, Myung J, 1993. " Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-661, June.
    14. In't Veld, Jan & Raciborski, Rafal & Ratto, Marco & Roeger, Werner, 2011. "The recent boom-bust cycle: The relative contribution of capital flows, credit supply and asset bubbles," European Economic Review, Elsevier, vol. 55(3), pages 386-406, April.
    15. Rapach, David E. & Wohar, Mark E., 2006. "In-sample vs. out-of-sample tests of stock return predictability in the context of data mining," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 231-247, March.
    16. Croce, Roberto M. & Haurin, Donald R., 2009. "Predicting turning points in the housing market," Journal of Housing Economics, Elsevier, vol. 18(4), pages 281-293, December.
    17. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    18. Jin, Yi & Zeng, Zhixiong, 2004. "Residential investment and house prices in a multi-sector monetary business cycle model," Journal of Housing Economics, Elsevier, vol. 13(4), pages 268-286, December.
    19. Davis, Morris A. & Palumbo, Michael G., 2008. "The price of residential land in large US cities," Journal of Urban Economics, Elsevier, vol. 63(1), pages 352-384, January.
    20. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
    21. Campbell, Sean D. & Davis, Morris A. & Gallin, Joshua & Martin, Robert F., 2009. "What moves housing markets: A variance decomposition of the rent-price ratio," Journal of Urban Economics, Elsevier, vol. 66(2), pages 90-102, September.
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    More about this item

    Keywords

    predictability; the GTTB(good time to buy) index; federal funds rate; housing bubble;

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates

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