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