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
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;
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
DOI :
10.1109/ITAPP.2010.5566129