IDEAS home Printed from https://ideas.repec.org/a/bla/jfnres/v37y2014i1p55-74.html
   My bibliography  Save this article

Speculative Trading In Reits

Author

Listed:
  • Benjamin M. Blau
  • Ryan J. Whitby

Abstract

No abstract is available for this item.

Suggested Citation

  • Benjamin M. Blau & Ryan J. Whitby, 2014. "Speculative Trading In Reits," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 37(1), pages 55-74, February.
    • Handle: RePEc:bla:jfnres:v:37:y:2014:i:1:p:55-74
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/jfir.12028
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kicki Björklund & Bo Söderberg, 1999. "Property Cycles, Speculative Bubbles and the Gross Income Multiplier," Journal of Real Estate Research, American Real Estate Society, vol. 18(1), pages 151-174.
    2. Ajinkya, Bipin B. & Jain, Prem C., 1989. "The behavior of daily stock market trading volume," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 331-359, November.
    3. Jian Zhou & Randy Anderson, 2013. "An Empirical Investigation of Herding Behavior in the U.S. REIT Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 83-108, July.
    4. Han, Bing & Kumar, Alok, 2013. "Speculative Retail Trading and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 377-404, April.
    5. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    7. Driessen, Joost & Van Hemert, Otto, 2012. "Pricing of commercial real estate securities during the 2007–2009 financial crisis," Journal of Financial Economics, Elsevier, vol. 105(1), pages 37-61.
    8. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    9. Albert Wang, F., 2010. "Informed arbitrage with speculative noise trading," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 304-313, February.
    10. Stein, Jeremy C, 1987. "Informational Externalities and Welfare-Reducing Speculation," Journal of Political Economy, University of Chicago Press, vol. 95(6), pages 1123-1145, December.
    11. 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.
    12. Cready, William M. & Ramanan, Ramachandran, 1991. "The power of tests employing log-transformed volume in detecting abnormal trading," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 203-214, June.
    13. Richardson, Gordon & Sefcik, Stephan E. & Thompson, Rex, 1986. "A test of dividend irrelevance using volume reactions to a change in dividend policy," Journal of Financial Economics, Elsevier, vol. 17(2), pages 313-333, December.
    14. Tegene, Abebayehu & Kuchler, Frederick R, 1993. "Evidence on the Existence of Speculative Bubbles in Farmland Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 6(3), pages 223-236, May.
    15. MeiChi Huang, 2013. "The Role of People’s Expectation in the Recent US Housing Boom and Bust," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 452-479, April.
    16. Erik Devos & Seow-Eng Ong & Andrew Spieler & Desmond Tsang, 2013. "REIT Institutional Ownership Dynamics and the Financial Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 47(2), pages 266-288, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Bariviera, Aurelio F., 2017. "The inefficiency of Bitcoin revisited: A dynamic approach," Economics Letters, Elsevier, vol. 161(C), pages 1-4.
    2. Bouri, Elie & Gupta, Rangan & Lahiani, Amine & Shahbaz, Muhammad, 2018. "Testing for asymmetric nonlinear short- and long-run relationships between bitcoin, aggregate commodity and gold prices," Resources Policy, Elsevier, vol. 57(C), pages 224-235.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    2. Jiang Wang, 2002. "Trading Volume and Asset Prices," Annals of Economics and Finance, Society for AEF, vol. 3(2), pages 299-359, November.
    3. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    4. Gagnon, Louis & Karolyi, G. Andrew, 2009. "Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 953-986, August.
    5. Hsin, Chin-Wen & Tseng, Po-Wen, 2012. "Stock price synchronicities and speculative trading in emerging markets," Journal of Multinational Financial Management, Elsevier, vol. 22(3), pages 82-109.
    6. Li, Wei & Rhee, Ghon & Wang, Steven Shuye, 2017. "Differences in herding: Individual vs. institutional investors," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 174-185.
    7. Yadav, Pradeep K., 1992. "Event studies based on volatility of returns and trading volume: A review," The British Accounting Review, Elsevier, vol. 24(2), pages 157-184.
    8. Serge Darolles & Gaëlle Le Fol, 2003. "Trading Volume and Arbitrage," Working Papers 2003-46, Center for Research in Economics and Statistics.
    9. Imre Karafiath, 2009. "Detecting cumulative abnormal volume: a comparison of event study methods," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 797-802.
    10. Ma, Chaoqun & Mi, Xianhua & Cai, Zongwu, 2020. "Nonlinear and time-varying risk premia," China Economic Review, Elsevier, vol. 62(C).
    11. Michael R. King, 2009. "Prebid Run‐Ups Ahead of Canadian Takeovers: How Big Is the Problem?," Financial Management, Financial Management Association International, vol. 38(4), pages 699-726, December.
    12. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    13. repec:dau:papers:123456789/11681 is not listed on IDEAS
    14. Mamdouh Medhat & Maik Schmeling, 2022. "Short-term Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1480-1526.
    15. Blau, Benjamin M., 2018. "Price dynamics and speculative trading in Bitcoin," Research in International Business and Finance, Elsevier, vol. 43(C), pages 15-21.
    16. Wang, Zijun & Qian, Yan & Wang, Shiwen, 2018. "Dynamic trading volume and stock return relation: Does it hold out of sample?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 195-210.
    17. Eckbo, B. Espen & Norli, Oyvind, 2005. "Liquidity risk, leverage and long-run IPO returns," Journal of Corporate Finance, Elsevier, vol. 11(1-2), pages 1-35, March.
    18. Marques, Manuel O. & Pinto, João M., 2020. "A comparative analysis of ex ante credit spreads: Structured finance versus straight debt finance," Journal of Corporate Finance, Elsevier, vol. 62(C).
    19. Peress, Joel & Schmidt, Daniel, 2021. "Noise traders incarnate: Describing a realistic noise trading process," Journal of Financial Markets, Elsevier, vol. 54(C).
    20. Vassilis A. Efthymiou & George N. Leledakis, 2014. "The price impact of the disposition effect on the ex-dividend day of NYSE and AMEX common stocks," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 711-724, April.
    21. Kang, Junqing & Lin, Shen & Xiong, Xiong, 2022. "What drives intraday reversal? illiquidity or liquidity oversupply?," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).

    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:jfnres:v:37:y:2014:i:1:p:55-74. 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.

    If CitEc recognized a bibliographic 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.

    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/sfaaaea.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.