Modelling Price Dynamics In The Hong Kong Property Market
AbstractThe property market in Hong Kong plays an important role in the political, social and economic life of this vibrant city. Understanding the dynamics of the market is essential to guide government policy making and investment decisions. Using data collected between 1993 and 2006, this study investigates the monthly returns, volatilities, and time-varying correlations in the residential, office, and retail property markets in Hong Kong. A vector autoregressive (VAR) model is used to examine the conditional mean, and a multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) model is adopted to analyze the conditional variance. The dynamic conditional correlation (DCC) approach is utilized to specify the MGARCH model. All of the property types show strong auto- and cross-correlations, which indicates that the sectors relate to each other closely. All three sectors have higher volatilities when major political and economic events occur. The findings reveal the possibility of balancing investment portfolios between the three sectors in the Hong Kong property market. However, exposure to the residential sector may reduce the chance of investment diversification because of the higher correlation of this sector with the other property sectors.
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Bibliographic InfoArticle provided by Research Centre in Public Administration and Public Services, Bucharest, Romania in its journal Theoretical and Empirical Researches in Urban Management.
Volume (Year): 4 (2009)
Issue (Month): 1S (April)
Return; volatility; dynamic conditional correlation.;
Find related papers by JEL classification:
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Production Analysis, and Firm Location - - - Housing Supply and Markets
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
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- S. Wong & C. Yiu & M. Tse & K. Chau, 2006. "Do the Forward Sales of Real Estate Stabilize Spot Prices?," The Journal of Real Estate Finance and Economics, Springer, vol. 32(3), pages 289-304, May.
- Qin Xiao & Randolph Gee Kwang Tan, 2006. "Signal Extraction with Kalman Filter: A Study of the Hong Kong Property Price Bubbles," Economic Growth centre Working Paper Series 0601, Nanyang Technolgical University, School of Humanities and Social Sciences, Economic Growth centre.
- K. Chau & S. Wong & C. Yiu, 2007. "Housing Quality in the Forward Contracts Market," The Journal of Real Estate Finance and Economics, Springer, vol. 34(3), pages 313-325, April.
- John Cotter & Simon Stevenson, 2011.
"Multivariate Modelling of Daily REIT Volatility,"
200517, Geary Institute, University College Dublin.
- Chiuling Lu & Raymond So, 2005. "Return Relationships between Listed Banks and Real Estate Firms: Evidence from Seven Asian Economies," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 189-206, September.
- Engle III, Robert F., 2003.
"Risk and Volatility: Econometric Models and Financial Practice,"
Nobel Prize in Economics documents
2003-4, Nobel Prize Committee.
- Robert Engle, 2004. "Risk and Volatility: Econometric Models and Financial Practice," American Economic Review, American Economic Association, vol. 94(3), pages 405-420, June.
- Yuming Fu & Lilian K. Ng, 2001. "Market Efficiency and Return Statistics: Evidence from Real Estate and Stock Markets Using a Present-Value Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 29(2), pages 227-250.
- Charles Leung & Dandan Feng, 2005. "What Drives the Property Price-Trading Volume Correlation? Evidence from a Commercial Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 241-255, September.
- Glascock, John L & Lu, Chiuling & So, Raymond W, 2000. "Further Evidence on the Integration of REIT, Bond, and Stock Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 20(2), pages 177-94, March.
- Tse, Y. K., 2000.
"A test for constant correlations in a multivariate GARCH model,"
Journal of Econometrics,
Elsevier, vol. 98(1), pages 107-127, September.
- Tom Doan, . "TSECCTEST: RATS procedure to perform Tse test for constant correlation in MV-GARCH model," Statistical Software Components RTS00214, Boston College Department of Economics.
- Tom Doan, . "RATS programs to replicate Tse's constant correlation GARCH test results," Statistical Software Components RTZ00161, Boston College Department of Economics.
- David Michayluk & Patrick J. Wilson & Ralf Zurbruegg, 2006. "Asymmetric Volatility, Correlation and Returns Dynamics Between the U.S. and U.K. Securitized Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(1), pages 109-131, 03.
- Neal Maroney & Atsuyuki Naka, 2006. "Diversification Benefits of Japanese Real Estate Over the Last Four Decades," The Journal of Real Estate Finance and Economics, Springer, vol. 33(3), pages 259-274, November.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
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