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.