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Public Information and Abnormal Returns in Real Estate Investment

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  • George W. Gau

Abstract

This study performs empirical tests of the semistrong form efficiency of a real estate investment market. An asset pricing model is utilized to estimate the abnormal returns resulting from two types of public information, major changes in government tax shelter and rent control policies as well as unanticipated changes in interest rates. In both cases the results find an absence of significant abnormal returns and no evidence to suggest that real estate investors can utilize information concerning government policy changes or interest rate movements to earn higher returns on a risk-adjusted basis. In general the findings of this study conform to the semistrong form version of the efficient markets hypothesis. Copyright American Real Estate and Urban Economics Association.

Suggested Citation

  • George W. Gau, 1985. "Public Information and Abnormal Returns in Real Estate Investment," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 13(1), pages 15-31.
  • Handle: RePEc:bla:reesec:v:13:y:1985:i:1:p:15-31
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    Citations

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    Cited by:

    1. Maier, Gunther & Herath, Shanaka, 2009. "Real Estate Market Efficiency. A Survey of Literature," SRE-Discussion Papers 402, WU Vienna University of Economics and Business.
    2. Felix Schindler, 2013. "Predictability and Persistence of the Price Movements of the S&P/Case-Shiller House Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 44-90, January.
    3. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    4. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, Elsevier.
    5. Terrance R. Skantz & Thomas H. Strickland, 1987. "House Prices and a Flood Event: An Empirical Investigation of Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 2(2), pages 75-83.
    6. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    7. William L. Attebery & Ronald C. Rutherford & Mark E. Eakin, 1993. "Industrial Real Estate Prices and Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 8(3), pages 377-386.
    8. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    9. Jim Clayton, 1998. "Further Evidence on Real Estate Market Efficiency," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 41-58.
    10. Felix Schindler, 2014. "Persistence and Predictability in UK House Price Movements," The Journal of Real Estate Finance and Economics, Springer, vol. 48(1), pages 132-163, January.
    11. Thomas M. Carroll & Terrence M. Clauretie & Helen R. Neill, 1997. "Effect of Foreclosure Status on Residential Selling Price: Comment," Journal of Real Estate Research, American Real Estate Society, vol. 13(1), pages 95-102.
    12. David Geltner, 1989. "Estimating Real Estate's Systematic Risk from Aggregate Level Appraisal-Based Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 17(4), pages 463-481.

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