DocumentCode :
1974626
Title :
A Robust Optimization Model of Social Security Fund Asset Allocation
Author :
Zhao Huiliang ; Wu Youhua
Author_Institution :
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Based on mean-semivariance theory, a robust optimization model is developed for China´s social security fund asset allocation, which the uncertainty of expected return and risk on security fund investment is described by several expected return vectors and covariance matrices. Then, we have done an empirical analysis by using the actual data from China. Empirical results show that: this method is effective and feasible.
Keywords :
covariance matrices; investment; national security; optimisation; vectors; China; covariance matrices; mean-semivariance theory; return vector; robust optimization model; security fund investment; social security fund asset allocation; Biological system modeling; Indexes; Investments; Optimization; Portfolios; Robustness; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
Type :
conf
DOI :
10.1109/ITAPP.2010.5566129
Filename :
5566129
Link To Document :
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