• 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