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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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    1. Bradford Case & Yawei Yang & Yildiray Yildirim, 2012. "Dynamic Correlations Among Asset Classes: REIT and Stock Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 44(3), pages 298-318, April.
    2. Jian Yang & Yinggang Zhou & Wai Leung, 2012. "Asymmetric Correlation and Volatility Dynamics among Stock, Bond, and Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 491-521, August.
    3. Chang, Chia-Lin & Khamkaew, Thanchanok & McAleer, Michael & Tansuchat, Roengchai, 2011. "Modelling conditional correlations in the volatility of Asian rubber spot and futures returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1482-1490.
    4. John Cotter & Simon Stevenson, 2006. "Multivariate Modeling of Daily REIT Volatility," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 305-325, May.
    5. Vinod Chandrashekaran, 1999. "Time-Series Properties and Diversification Benefits of REIT Returns," Journal of Real Estate Research, American Real Estate Society, vol. 17(1), pages 91-112.
    6. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    7. Jing Wang & Xiaoneng Zhu, 2013. "The reaction of international stock markets to Federal Reserve policy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(1), pages 1-30, March.
    8. Liu, Crocker H. & Hartzell, David J. & Greig, Wylie & Grissom, Terry V., 1990. "The Integration of the Real Estate Market and the Stock Market: Some Preliminary Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 3(3), pages 261-282, September.
    9. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    10. Jing-zhi Huang & Zhaodong Zhong, 2013. "Time Variation in Diversification Benefits of Commodity, REITs, and TIPS," The Journal of Real Estate Finance and Economics, Springer, vol. 46(1), pages 152-192, January.
    11. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    12. Billio, Monica & Caporin, Massimiliano, 2009. "A generalized Dynamic Conditional Correlation model for portfolio risk evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2566-2578.
    13. Hassan, Syed Aun & Malik, Farooq, 2007. "Multivariate GARCH modeling of sector volatility transmission," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(3), pages 470-480, July.
    14. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    15. Jian Zhou & Randy Anderson, 2012. "Extreme Risk Measures for International REIT Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 45(1), pages 152-170, June.
    16. Agnolucci, Paolo, 2009. "Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models," Energy Economics, Elsevier, vol. 31(2), pages 316-321, March.
    17. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    18. Kang, Sang Hoon & Kang, Sang-Mok & Yoon, Seong-Min, 2009. "Forecasting volatility of crude oil markets," Energy Economics, Elsevier, vol. 31(1), pages 119-125, January.
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    Cited by:

    1. 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.
    2. Abuzayed, Bana & Al-Fayoumi, Nedal & Bouri, Elie, 2020. "Co-movement across european stock and real estate markets," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 189-208.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. repec:ibf:rbfstu:v:8:y:2017:i:1:p:1-11 is not listed on IDEAS

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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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