DocumentCode :
2308079
Title :
Adaptive improved portfolio Sharpe ratio maximization with diversification
Author :
Yu, Xiaohui ; Xu, Lei
Author_Institution :
Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
472
Abstract :
A portfolio selection method called Improved Portfolio Sharpe Ratio Maximization with Diversification (IPSRM-D) was recently proposed by Hung et al. (1999). It is derived from the original Sharpe Ratio design by taking into consideration the upside volatility and investment diversification. It can obtain investment decision according to the investor´s position in the return-risk trade off. However, the batchway method used in IPSRM-D lacks the ability to keep tracing the changes in market from the just available data. In this paper, we further the study on IPSRM-D by introducing various adaptive methods. We demonstrate with experimental results on stock market that adaptive methods outperform batchway method in profit gain
Keywords :
adaptive systems; economic cybernetics; investment; Improved Portfolio Sharpe Ratio Maximization; Sharpe Ratio; adaptive methods; investment decision; investment diversification; portfolio selection method; stock market; upside volatility; Computer science; Investments; Optimization methods; Portfolios; Stock markets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
ISSN :
1098-7576
Print_ISBN :
0-7695-0619-4
Type :
conf
DOI :
10.1109/IJCNN.2000.860816
Filename :
860816
Link To Document :
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