Loukeris, N. and Matsatsinis, N. (2006) Hybrid Neuro-Genetic Systems as Effective Analysis Schemes of Financial statements. Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization, Lisbon, 22-24 September 2006, 135-140. - References

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Loukeris, N. and Matsatsinis, N. (2006) Hybrid Neuro-Genetic Systems as Effective Analysis Schemes of Financial statements. Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization, Lisbon, 22-24 September 2006, 135-140.

has been cited by the following article:

TITLE: Support Vector Machines Networks to Hybrid Neuro-Genetic SVMs in Portfolio Selection

AUTHORS: N. Loukeris, I. Eleftheriadis

KEYWORDS: Support Vector Machines, Genetic Algorithms, Corporate Finance, Financial Markets

JOURNAL NAME: Intelligent Information Management, Vol.7 No.3, May 8, 2015

ABSTRACT: Corporate net value is efficiently described on its stock price, offering investors a chance to include a potentially surplus value to the net worth of the overall investment portfolio. Financial analysis of corporations extracted from 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 provide effective results in corporate financial analysis.