Support Vector Machines Networks to Hybrid Neuro-Genetic SVMs in Portfolio Selection

• 作者: I. Eleftheriadis N. Loukeris
• 来源期刊: 智能信息管理(英文)
• 学科: 工学
• 关键词: Support Vector Machines GENETIC Algorithms Corporate FINANCE Financial MARKETS
• 年，卷（期）: 2015,（3）
• 页码范围: 123-129
• 页数: 7页
• 分类号: TP39

摘要

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.