Financial market prediction system with Evolino neural network and Delphi method

Financial market prediction system with Evolino neural network and Delphi method

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 i...

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Bibliographic Details
Main Authors: Nijolė Maknickienė, Algirdas Maknickas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2013-05-01
Series:Journal of Business Economics and Management
Subjects:
artificial intelligence
forecasting
investment portfolio
exchange rates
Sharpe ratio
Online Access:https://journals.vgtu.lt/index.php/JBEM/article/view/3721
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spelling doaj-672f7ff4883544029209467f8870f5be2021-07-02T14:43:45ZengVilnius Gediminas Technical UniversityJournal of Business Economics and Management1611-16992029-44332013-05-0114210.3846/16111699.2012.729532Financial market prediction system with Evolino neural network and Delphi methodNijolė Maknickienė0Algirdas Maknickas1Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, LithuaniaVilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania 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. https://journals.vgtu.lt/index.php/JBEM/article/view/3721artificial intelligenceforecastinginvestment portfolioexchange ratesSharpe ratio
collection DOAJ
language English
format Article
sources DOAJ
author Nijolė Maknickienė
Algirdas Maknickas
spellingShingle Nijolė Maknickienė
Algirdas Maknickas
Financial market prediction system with Evolino neural network and Delphi method
Journal of Business Economics and Management
artificial intelligence
forecasting
investment portfolio
exchange rates
Sharpe ratio
author_facet Nijolė Maknickienė
Algirdas Maknickas
author_sort Nijolė Maknickienė
title Financial market prediction system with Evolino neural network and Delphi method
title_short Financial market prediction system with Evolino neural network and Delphi method
title_full Financial market prediction system with Evolino neural network and Delphi method
title_fullStr Financial market prediction system with Evolino neural network and Delphi method
title_full_unstemmed Financial market prediction system with Evolino neural network and Delphi method
title_sort financial market prediction system with evolino neural network and delphi method
publisher Vilnius Gediminas Technical University
series Journal of Business Economics and Management
issn 1611-1699
2029-4433
publishDate 2013-05-01
description 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.
topic artificial intelligence
forecasting
investment portfolio
exchange rates
Sharpe ratio
url https://journals.vgtu.lt/index.php/JBEM/article/view/3721
work_keys_str_mv AT nijolemaknickiene financialmarketpredictionsystemwithevolinoneuralnetworkanddelphimethod
AT algirdasmaknickas financialmarketpredictionsystemwithevolinoneuralnetworkanddelphimethod
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