State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation

Details State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation

2009-10-13

arxiv.org/abs/0910.2276v1

Computer Science

Computational Engineering, Finance, and Science

9 pages

Scientific paper

Computational techniques have shown much promise in the field of Finance, owing to their ability to extract sense out of dauntingly complex systems. This paper reviews the most promising of these techniques, from traditional computational intelligence methods to their machine learning siblings, with particular view to their application in optimising the management of a portfolio of financial instruments. The current state of the art is assessed, and prospective further work is assessed and recommended

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