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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