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
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