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Financial market prediction system with Evolino neural network and Delphi method

    Nijolė Maknickienė Affiliation
    ; Algirdas Maknickas Affiliation

Abstract

Use of artificial intelligence systems in forecasting financial markets requires a reliable and simple model that would ensure profitable growth. The model presented in the paper combines Evolino recurrent neural networks with orthogonal data inputs and the Delphi expert evaluation method for its investment portfolio decision making process. A statistical study demonstrates the reliability of the model and describes its accuracy. Capabilities of the model are demonstrated using a trading simulation.

Keyword : artificial intelligence, forecasting, investment portfolio, exchange rates, Sharpe ratio

How to Cite
Maknickienė, N., & Maknickas, A. (2013). Financial market prediction system with Evolino neural network and Delphi method. Journal of Business Economics and Management, 14(2), 403-413. https://doi.org/10.3846/16111699.2012.729532
Published in Issue
May 7, 2013
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.