IDEAS home Printed from https://ideas.repec.org/a/bla/reesec/v13y1985i1p15-31.html
   My bibliography  Save this article

Public Information and Abnormal Returns in Real Estate Investment

Author

Listed:
  • 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.

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, March.
  • Handle: RePEc:bla:reesec:v:13:y:1985:i:1:p:15-31
    DOI: 10.1111/1540-6229.00338
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1540-6229.00338
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1540-6229.00338?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Maier, Gunther & Herath, Shanaka, 2009. "Real Estate Market Efficiency. A Survey of Literature," SRE-Discussion Papers 2009/07, WU Vienna University of Economics and Business.
    2. 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.
    3. El-Jahel, Lina & MacCulloch, Robert, 2021. "Trading in the housing market: A model with transaction costs," Mathematical Social Sciences, Elsevier, vol. 113(C), pages 89-96.
    4. Malpezzi, Stephen, 1999. "A Simple Error Correction Model of House Prices," Journal of Housing Economics, Elsevier, vol. 8(1), pages 27-62, March.
    5. 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.
    6. 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.
    7. 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.
    8. 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, December.
    9. 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.
    10. Feng Deng, 2020. "Intrametropolitan variation of urban structure and housing price: the case of Chongqing, China," Asia-Pacific Journal of Regional Science, Springer, vol. 4(3), pages 639-655, October.
    11. Lin, Wen-Yuan & Tsai, I-Chun, 2019. "Trader differences in Shanghai’s A-share and B-share markets: Effects on interaction with the Shanghai housing market," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    12. Ghysels, Eric & Plazzi, Alberto & Valkanov, Rossen & Torous, Walter, 2013. "Forecasting Real Estate Prices," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 509-580, Elsevier.
    13. George Milunovich, 2020. "Forecasting Australia's real house price index: A comparison of time series and machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1098-1118, November.
    14. 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.
    15. Kyriakou, Maria I. & Babalos, Vassilios & Kiohos, Apostolos & Koulakiotis, Athanasios, 2020. "Feedback trading strategies and long-term volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 181-189.
    16. 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.
    17. Esra ALP & Ünal SEVEN, 2019. "Türkiye Konut Piyasasında Etkinlik Analizi," Istanbul Business Research, Istanbul University Business School, vol. 48(1), pages 84-112, May.
    18. 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.
    19. Alan W. Evans, 1995. "The Property Market: Ninety Per Cent Efficient?," Urban Studies, Urban Studies Journal Limited, vol. 32(1), pages 5-29, February.

    More about this item

    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:bla:reesec:v:13:y:1985:i:1:p:15-31. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/areueea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.