Prediction-Based Portfolio Selection Model Using Support Vector Machines

In this paper, the rate of the returns is predicted using AR-MRNN and SVM and then the prediction-based portfolio selection model using SVM and the prediction-based portfolio selection model using AR-MRNN are proposed. Compared with the performance of the prediction of the AR-MRNN predictor and the SVM predictor, we found that the accuracy of the SVM is superior to the AR-MRNN. Compared with the performance of the prediction-based portfolio selection model using SVM and using AR-MRNN with the mean-variance portfolio selection model, we found that the former is superior to the latter. Meanwhile, we also proved that the more accuracy of the prediction achieved, the higher the rate of the returns.

[1]  A. Stuart,et al.  Portfolio Selection: Efficient Diversification of Investments , 1959 .

[2]  M. Statman,et al.  How Many Stocks Make a Diversified Portfolio? , 1987, Journal of Financial and Quantitative Analysis.

[3]  Sheridan Titman,et al.  Performance Measurement without Benchmarks: An Examination of Mutual Fund Returns , 1993 .

[4]  Yunqian Ma,et al.  Comparison of Model Selection for Regression , 2003, Neural Computation.

[5]  D. D. D. Pinto,et al.  An approach to portfolio selection using an ARX predictor for securities' risk and return , 2011, Expert Syst. Appl..

[6]  P. Young,et al.  Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.

[7]  E. Fama Portfolio Analysis in a Stable Paretian Market , 1965 .

[8]  T. Yamaguchi A technical analysis expert system in the stock market , 1989, Future Gener. Comput. Syst..

[9]  Bernhard Schölkopf,et al.  A tutorial on support vector regression , 2004, Stat. Comput..

[10]  Nils H. Hakansson,et al.  Applying Portfolio Change and Conditional Performance Measures: The Case of Industry Rotation via the Dynamic Investment Model , 2001 .

[11]  Lixin Huang,et al.  Rational Inattention and Portfolio Selection , 2007 .

[12]  E. Elton Modern portfolio theory and investment analysis , 1981 .

[13]  Gunnar Rätsch,et al.  Using support vector machines for time series prediction , 1999 .

[14]  H. White,et al.  Economic prediction using neural networks: the case of IBM daily stock returns , 1988, IEEE 1988 International Conference on Neural Networks.

[15]  Stanley J. Kon Models of Stock Returns—A Comparison , 1984 .