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The dynamic correlation and volatility of real estate price and rental: an application of MSV model

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  • Eddie Chi-man Hui
  • Xian Zheng

Abstract

This article investigates the dynamic conditional correlation between price and rental among four types of real estate markets, namely housing, retail, office and factory. In the case of Hong Kong (from January 1993 to December 2008), the Dynamic Conditional Correlation Multivariate Stochastic Volatility (DCC--MSV) model and Bayesian Markov Chain Monte Carlo (MCMC) are employed to capture the volatility and time varying correlation of property price and rental in each market. The empirical results demonstrate that the volatilities of price are significantly larger than those of rental for each type of real estate markets throughout the whole sample period. Besides, the findings indicate that the correlations between price and rental are time-varying, and the average correlation in the housing market is much larger than those in the other three markets. Also, the conditional correlations in the factory market are the most volatile, while those in the office market are relatively stable. Additionally, two particularly volatile periods have been identified in and around 1997 and 2003.

Suggested Citation

  • Eddie Chi-man Hui & Xian Zheng, 2012. "The dynamic correlation and volatility of real estate price and rental: an application of MSV model," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2985-2995, August.
  • Handle: RePEc:taf:applec:44:y:2012:i:23:p:2985-2995
    DOI: 10.1080/00036846.2011.568409
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    1. Christophe Andr頍 & Luis A. Gil-Alana & Rangan Gupta, 2014. "Testing for persistence in housing price-to-income and price-to-rent ratios in 16 OECD countries," Applied Economics, Taylor & Francis Journals, vol. 46(18), pages 2127-2138, June.
    2. Haiwei Chen, 2017. "Real Estate Transfer Taxes and Housing Price Volatility in the United States," International Real Estate Review, Global Social Science Institute, vol. 20(2), pages 207-219.
    3. Mimi Liu & Jeremy Clark, 2017. "The effect of the price or rental cost of housing on family size: a theoretical analysis with reference to New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 51(3), pages 281-301, September.
    4. Xian Zheng, 2015. "Expectation, volatility and liquidity in the housing market," Applied Economics, Taylor & Francis Journals, vol. 47(37), pages 4020-4035, August.
    5. Eddie C. M. Hui & Ka Kwan Kevin Chan, 2018. "Is there really any Contagion among Major Equity and Securitized Real Estate Markets? Analysis from a New Perspective," The Journal of Real Estate Finance and Economics, Springer, vol. 56(4), pages 567-586, May.
    6. Shengguo Li & Jiaqi Liu & Jichang Dong & Xuerong Li, 2021. "20 Years of Research on Real Estate Bubbles, Risk and Exuberance: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    7. Eddie C. M. Hui & Ka Kwan Kevin Chan, 2018. "Testing Calendar Effects of International Equity and Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 56(1), pages 140-158, January.
    8. Hui, Eddie Chi-man & Chan, Ka Kwan Kevin, 2014. "The global financial crisis: Is there any contagion between real estate and equity markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 216-225.
    9. Eddie C.M. Hui & Ka Kwan Kevin Chan, 2013. "The European sovereign debt crisis: contagion across European real estate markets," Journal of Property Research, Taylor & Francis Journals, vol. 30(2), pages 87-102, June.
    10. Li, Yaoyao & Qi, Yuan & Liu, Licheng & Hou, Yuchen & Fu, Shuya & Yao, Jingtao & Zhu, Daolin, 2022. "Effect of increasing the rental housing supply on house prices: Evidence from China’s large and medium-sized cities," Land Use Policy, Elsevier, vol. 123(C).

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