• DocumentCode
    2183258
  • Title

    An Empirical Analysis on the Portfolio of QDII Fund and Greenhouse Gas Emission Permits

  • Author

    Lu, Wei ; Wang, Wen-Jun ; Miao, Bai-Qi

  • Author_Institution
    Sch. of Manage., Univ. of Sci. & Technol. of China, Hefei, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The European Union Allowance (EUA) futures traded on European Climate Exchange (ECX) is selected to represent the Greenhouse Gas Emission Permits (carbon assets) in this paper. The Copula function is applied to get the joint distribution function of the return rates of EUA futures and a Qualified Domestic Institutional Investor (QDII) fund in China. Based on the joint distribution function of the two assets, the distribution function of any portfolio of the two assets is presented. Then, at different significance levels optimal portfolios of the two assets with the minimal Value at Risk (VaR) are shown. Through analysis of the optimal portfolios, it is found that all of the optimal portfolios showed a higher rate of return than the original QDII fund, and had lower VaRs at different significance levels. Meanwhile, the optimal investment proportional coefficient is found to have a low sensitivity to the variation of VaR required by potential investors, thus the feasibility of the proposed portfolios is further proved.
  • Keywords
    air pollution; commodity trading; investment; China; Copula function; European Climate Exchange; European Union Allowance futures; QDII fund portfolio; Qualified Domestic Institutional Investor; greenhouse gas emission permits; joint distribution function; optimal investment proportional coefficient; return rate; value at risk; Asset management; Carbon dioxide; Distribution functions; Environmental economics; Finance; Global warming; Investments; Portfolios; Reactive power; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5305121
  • Filename
    5305121