Title :
Funds exchange: an approach for risk and portfolio management
Author :
Cherkassky, Vladimir ; Mulier, Filip ; Sheng, Anna B.
Author_Institution :
Dept. of ECE, Minnesota Univ., Minneapolis, MN, USA
Abstract :
This paper describes a new approach for asset allocation and risk management called funds exchange. The funds exchange approach generically describes short-term trading of (broadly-based) mutual funds or indices based on statistical strategies aimed at achieving improved returns and, at the same time, reducing market risk (i.e., market exposure). Unlike many statistically-based trading and advisory systems trying to predict and benefit from the major (big) changes in the stock market, the funds exchange approach tries to capitalize on the short-term (daily) market volatility, i.e. small daily changes. This paper describes concepts and assumptions underlying this approach, and mathematical formulation of the funds exchange approach as a problem of predictive learning. Finally we show empirical evidence that the proposed approach can indeed provide improved returns and reduce market risk for SP 500 mutual funds
Keywords :
investment; learning (artificial intelligence); risk management; stock markets; SP 500 mutual funds; asset allocation; improved returns; indices; market risk reduction; mathematical formulation; portfolio management; predictive learning; risk management; short-term market volatility; short-term trading; statistical strategies; stock market; Asset management; Computer industry; Investments; Mutual funds; Portfolios; Risk management; Security; Stock markets; Switches; Vehicles;
Conference_Titel :
Computational Intelligence for Financial Engineering, 2000. (CIFEr) Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6429-5
DOI :
10.1109/CIFER.2000.844585