Support vector machines networks to hybrid neuro-genetic svms in portfolio selection
Authors: Loukeris, Nikolaos 
Eleftheriadis, Iordanis 
Publisher: Scientific Research Publishing
Issue Date: 1-Jan-2015
Journal: Intelligent Information Management 
Volume: 7
Issue: 3
Keywords: Support vector machines, Genetic algorithms, Corporate finance, Financial markets
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.
ISSN: 2160-5920
DOI: 10.4236/iim.2015.73011
URI: https://uniwacris.uniwa.gr/handle/3000/2225
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

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