Support Vector Machines Networks to Hybrid Neuro-Genetic SVMs in Portfolio Selection
Open Access
- 1 January 2015
- journal article
- Published by Scientific Research Publishing, Inc. in Intelligent Information Management
- Vol. 07 (03), 123-129
- https://doi.org/10.4236/iim.2015.73011
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.Keywords
This publication has 1 reference indexed in Scilit:
- An Introduction to Support Vector Machines and Other Kernel-based Learning MethodsPublished by Cambridge University Press (CUP) ,2000