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Commonality in Liquidity and Real Estate Securities

Author

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  • Martin Hoesli

    (SFI, University of Geneva
    University of Aberdeen (Business School)
    Kedge Business School)

  • Anjeza Kadilli

    (University of Geneva)

  • Kustrim Reka

    (University of Geneva)

Abstract

We conduct an empirical investigation of the exposure of U.S. REIT returns to commonality in liquidity. Taking advantage of the specific characteristics of REITs, we study three types of commonality in liquidity: within-asset commonality, cross-asset commonality (with the stock market), and commonality with the underlying property market. We find evidence that the three types of commonality in liquidity represent significant risk factors for REIT returns but only during bad market conditions. We also find that using a linear approach, rather than a conditional, would have underestimated the role of commonality in liquidity risk. This could explain (at least partly) the small impact of commonality on asset prices documented in the extant literature. We also analyze the economic sources of commonality in liquidity and find that demand-side factors prevail over supply-side factors.

Suggested Citation

  • Martin Hoesli & Anjeza Kadilli & Kustrim Reka, 2017. "Commonality in Liquidity and Real Estate Securities," The Journal of Real Estate Finance and Economics, Springer, vol. 55(1), pages 65-105, July.
    • Handle: RePEc:kap:jrefec:v:55:y:2017:i:1:d:10.1007_s11146-016-9554-3
    DOI: 10.1007/s11146-016-9554-3
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    Cited by:

    1. David C. Ling & Chongyu Wang & Tingyu Zhou, 2022. "Asset productivity, local information diffusion, and commercial real estate returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 89-121, March.
    2. David H. Downs & Bing Zhu, 2022. "Property market liquidity and REIT liquidity," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(6), pages 1462-1491, November.
    3. Thomas Richter, 2022. "Trading Activity in Public Real Estate Markets," JRFM, MDPI, vol. 15(9), pages 1-12, August.
    4. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    5. Abdulrahman Alhassan & Atsuyuki Naka & Abdullah Noman, 2021. "Oil Market Factors as a Source of Commonality in Liquidity in International Equity Markets," JRFM, MDPI, vol. 14(8), pages 1-33, August.
    6. Bryan D. MacGregor & Rainer Schulz & Yuan Zhao, 2021. "Performance and Market Maturity in Mutual Funds: Is Real Estate Different?," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 437-492, October.
    7. Cheol Eun & Lingling Wang & Tim Zhang, 2022. "House Price Growth Synchronization and Business Cycle Alignment," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 675-710, November.
    8. Thomas Paul & Thomas Walther & André Küster-Simic, 2022. "Empirical analysis of the illiquidity premia of German real estate securities," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 203-260, June.

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    More about this item

    Keywords

    Real estate securities; REITs; Commonality in liquidity; Liquidity risk; Multi-factor model; Threshold regression; Panel data;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G01 - Financial Economics - - General - - - Financial Crises
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

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