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The Impact of Potential Private Information on REIT Liquidity

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    Abstract

    This article examines how, and to what degree, the potential for private information affects the liquidity of the market for real estate investment trusts (REITs). Consistent with the previous literature, we find that REITs trading on organized specialist exchanges are more liquid than those trading in the over-the-counter market. In addition, an examination of REIT market liquidity across individual firm portfolio holdings reveals REITs with more focused investment strategies are easier to value and more liquid than their diversified counterparts. Finally, our results also indicate liquidity improves as the percentage of the firm’s investment portfolio held as direct property (i.e., equity) investments rises. This finding is consistent with the belief that financial assets are informationally opaque and, therefore, uniquely difficult to value.

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    File URL: http://aux.zicklin.baruch.cuny.edu/jrer/papers/pdf/past/vol19n01/v19n049_072.pdf
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    Bibliographic Info

    Article provided by American Real Estate Society in its journal Journal of Real Estate Research.

    Volume (Year): 19 (2000)
    Issue (Month): 1 ()
    Pages: 49-71

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    Handle: RePEc:jre:issued:v:18:n:3:1999:p:49-71

    Contact details of provider:
    Postal: American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323
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    Web page: http://www.aresnet.org/

    Order Information:
    Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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    Web: http://aux.zicklin.baruch.cuny.edu/jrer/about/get.htm

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    1. Hausman, Jerry A. & Lo, Andrew W. & MacKinlay, A. Craig, 1992. "An ordered probit analysis of transaction stock prices," Journal of Financial Economics, Elsevier, vol. 31(3), pages 319-379, June.
    2. Choi, J. Y. & Salandro, Dan & Shastri, Kuldeep, 1988. "On the Estimation of Bid-Ask Spreads: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(02), pages 219-230, June.
    3. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
    4. Hasbrouck, Joel, 1991. " Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    5. Huang, Roger D & Stoll, Hans R, 1994. "Market Microstructure and Stock Return Predictions," Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 179-213.
    6. Ananth Madhavan & Matthew Richardson & Mark Roomans, 1996. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-34, New York University, Leonard N. Stern School of Business-.
    7. Grossman, Sanford J & Stiglitz, Joseph E, 1976. "Information and Competitive Price Systems," American Economic Review, American Economic Association, vol. 66(2), pages 246-53, May.
    8. Lin, Ji-Chai & Sanger, Gary C & Booth, G Geoffrey, 1995. "Trade Size and Components of the Bid-Ask Spread," Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 1153-83.
    9. Glascock, John L & Hughes, William T, Jr & Varshney, Sanjay B, 1998. "Analysis of REIT IPOs Using a Market Microstructure Approach: Anomalous Behavior or Asset Structure," The Journal of Real Estate Finance and Economics, Springer, vol. 16(3), pages 243-56, May.
    10. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-56.
    11. Stoll, Hans R, 1989. " Inferring the Components of the Bid-Ask Spread: Theory and Empirical Tests," Journal of Finance, American Finance Association, vol. 44(1), pages 115-34, March.
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