DocumentCode :
496313
Title :
Dependence Analysis of Diversification Benefits of Chinese Real Estate Securities
Author :
Lu, Xunfa ; Lai, Kin Keung
Author_Institution :
Dept. of Manage. Sci., City Univ. of Hong Kong, Hong Kong, China
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
477
Lastpage :
481
Abstract :
This paper investigates diversification benefits of having real estate securities in investment portfolio by modeling the dependence structures between it and other financial assets in Chinese stock markets, using copula functions. Results first show that it is inadequate to use the linear correlation coefficient as a measure of dependence because of rejection of its normal hypothesis. Then, as an alternative way to model the dependence structure, the optimal copula for each of the two kinds of assets, including real estate, is selected. Copula-based dependence structures are finally computed. The results reveal that real estate securities in Chinese stock markets can provide few, or at the most limited diversification benefits. To a certain extent, real estate securities are more like stocks than direct investments in real estate. This finding has important implications for both financial investors and financial risk managers.
Keywords :
investment; real estate data processing; risk management; security; stock markets; Chinese real estate security; Chinese stock market; copula function; dependence analysis; diversification benefit; financial asset; financial investor; financial risk manager; investment portfolio; linear correlation coefficient; normal hypothesis rejection; Appraisal; Availability; Conference management; Data security; Investments; Portfolios; Risk analysis; Smoothing methods; Stock markets; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.130
Filename :
5193740
Link To Document :
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