基于熵值法和神经网络模型的股价评估分析
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引用本文:吴 涛1,李雄英1, 曾凯华2.基于熵值法和神经网络模型的股价评估分析[J].经济数学,2018,(2):78-82
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吴 涛1,李雄英1, 曾凯华2 (1.广东财经大学广东 广州 5103202.广东省技术经济研究发展中心广东 广州 522000 ) 
中文摘要:股票价格的变化主要依赖于两个方面,一个是股票内在价值,另一个就是系统风险对股票价值的影响.通过使用神经网络的方法来分析股票的系统风险,用熵值法来分析股票的内在价值,从而全面的分析股票的投资价值,结果表明这种评估方法是可靠并且具有较大的获利空间.
中文关键词:金融学;股票价值  神经网络  评估
 
Analysis of Stock-Price Based on Entropy Method and Neural Network Model
Abstract:The change of stock price mainly depends on two aspects, for one thing, which is the intrinsic value of the stock and for another is the influence of system risk on the stock value. The paper adopted neural network to analyze the systematic risk of stock, and analyze the intrinsic value of stock by entropy method, so as to comprehensively analyze the investment value of stock. The result shows that this evaluation method is reliable and has large profitability.
keywords:finance  the value of stock    neural network  evaluation
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