Support Vector Machines neural networks to a hybrid neuro-genetic SVM form in corporate financial analysis
Authors: Loukeris, Nikolaos 
Eleftheriadis, Iordanis 
Issue Date: 12-Jul-2011
Conference: 15th WSEAS International Conference on Systems (Part of the 15th WSEAS CSCC Multiconference), 14-16 July 2011, Corfu Island, Greece 
Book: Proceedings of the 15th WSEAS International Conference on Systems (Part of the 15th WSEAS CSCC Multiconference) 
Keywords: Corporate finance, Financial markets, Genetic algorithms, Support vector machines
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.
ISBN: 978-1-61804-023-7
URI: https://uniwacris.uniwa.gr/handle/3000/2219
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

CORE Recommender
Show full item record

SCOPUSTM   
Citations

3
checked on Oct 31, 2024

Page view(s)

24
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.