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An international analysis of REITs and stock portfolio management based on dynamic conditional correlation models

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Abstract

This paper analyzes the volatility spillovers and asymmetry between REITs and stock prices for nine countries (Australia, Belgium, Germany, Italy, Japan, The Netherlands, Singapore, the United Kingdom, and the United States) using eight different multivariate GARCH models. We also analyze the optimal weights, hedging effectiveness, and hedge ratios for REIT-stock portfolio holdings with respect to the results. The empirical results indicate that dynamic conditional correlation (DCC) models provide a better fit than the constant conditional correlation models. The DCC with volatility spillovers and asymmetry (DCC-SA) model provides a better fit than the other multivariate GARCH models. The DCC-SA model also provides the best hedging effectiveness for all pairs of REIT-stock assets. More importantly, this result holds for all cases and for all models that we consider, which means that by taking spillover and asymmetry into consideration, hedging effectiveness can be vastly improved. Copyright Swiss Society for Financial Market Research 2014

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  • Yen-Hsien Lee, 2014. "An international analysis of REITs and stock portfolio management based on dynamic conditional correlation models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 165-180, May.
    • Handle: RePEc:kap:fmktpm:v:28:y:2014:i:2:p:165-180
    DOI: 10.1007/s11408-014-0227-z
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    Cited by:

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    2. Haas Markus & Liu Ji-Chun, 2018. "A multivariate regime-switching GARCH model with an application to global stock market and real estate equity returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(3), pages 1-27, June.
    3. repec:ibf:rbfstu:v:8:y:2017:i:1:p:1-11 is not listed on IDEAS
    4. Liu, Jian & Chen, Yan & Liao, Shufei & Cheng, Cheng & Fu, Yongge, 2023. "Information spillovers in Hong Kong REITs and related asset markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 215-229.
    5. James L. Kuhle & Eric C. Lin, 2018. "Evaluating Real Estate Mutual Fund Performance Using The Morningstar Upside/Downside Capture Ratio," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 12(1), pages 15-22.
    6. Haas, Markus & Liu, Ji-Chun, 2015. "Theory for a Multivariate Markov--switching GARCH Model with an Application to Stock Markets," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112855, Verein für Socialpolitik / German Economic Association.
    7. James L. Kuhle & Eric C. Lin, 2018. "An Evaluation Of Risk And Return Performance Measure Alternatives: Evidence From Real Estate Mutual Funds," Review of Business and Finance Studies, The Institute for Business and Finance Research, vol. 9(1), pages 1-11.
    8. Rafiq Bhuyan & James Kuhle & Talla Mohammed Al-Deehani & Munir Mahmood, 2015. "Portfolio Diversification Benefits Using Real Estate Investment Trusts An Experiment with US Common Stocks, Equity Real Estate Investment Trusts, and Mortgage Real Estate Investment Trusts," International Journal of Economics and Financial Issues, Econjournals, vol. 5(4), pages 922-928.

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    More about this item

    Keywords

    REIT; Hedging effectiveness; Spillover; Asymmetry; DCC-GARCH model; G1; G15; C32;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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