Support vector machines neural networks to a hybrid neuro-genetic SVM form in corporate financial analysis

Authors:
N. Loukeris;I. Eleftheriadis
Affiliations:
Technical University of Crete, Department of Electronics and Computer Engineering, Chania, Crete, Greece and University of Macedonia, Department of Business Administration, Thessaloniki, Greece;University of Macedonia, Department of Business Administration, Thessaloniki, Greece
Venue:
Proceedings of the 15th WSEAS international conference on Systems
Year:
2011

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Abstract

The net value of a corporation is efficiently reflected on its stock price, and investors and portfolio managers seek stocks that add a surplus value to the net worth of the overall stock portfolio. Financial analysis of corporations extracted form the accounting statements, is constantly demanded to support decisions making of portfolio managers. Econometrics and Artificial Intelligence methods aim to extract hidden information from complex accounting and financial data. Support Vector Machines hybrids optimized in their components by Genetic Algorithms provided effective results in corporate financial analysis.