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A high-frequency analysis of the interactions between REIT return and volatility

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  • Zhou, Jian
Abstract
This paper makes the first attempt in the real estate literature to test the two hypotheses depicting the interactions between return and volatility — the leverage effect and volatility feedback effect. By employing high-frequency data, we find that both leverage and volatility feedback effects are at work and highly persistent in the U.S. REIT market. The leverage effect dominates the volatility feedback effect. More importantly, both effects are found nonlinear — a feature matching the tendency of the financial market to often change its behavior. Further analysis suggests that the nonlinearity arises from multiple sources (e.g. regime switching, structural breaks, and outliers). Our findings are robust to different data sampling frequencies. All in all, they lead to a better understanding of the recent movement of REIT volatility and have profound implications for asset pricing.

Suggested Citation

  • Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    • Handle: RePEc:eee:ecmode:v:56:y:2016:i:c:p:102-108
    DOI: 10.1016/j.econmod.2016.03.022
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    2. Fu, Yang & Zheng, Zeyu, 2020. "Volatility modeling and the asymmetric effect for China’s carbon trading pilot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    3. Rehman, Mobeen Ur & Shahzad, Syed Jawad Hussain & Ahmad, Nasir & Vo, Xuan Vinh, 2022. "Dependence dynamics of US REITs," International Review of Financial Analysis, Elsevier, vol. 81(C).
    4. Kevin Beaubrun‐Diant & Tristan‐Pierre Maury, 2022. "Corporate focus, residential assets, and the performance of French REITs," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 599-621, April.
    5. Katlego Kola & Tumellano Sebehela, 2021. "Market The (De)merits of using Integral Transforms in Predicting Structural Break Points," International Real Estate Review, Global Social Science Institute, vol. 24(3), pages 405-467.

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