灰色算法在股票价格预测中的应用  

Application of Grey System Theory in Stock Price Forecasting

作　　者：徐维维[1] 高风[1] 

机构地区：[1]北京工业大学电控学院,北京100022

出　　处：《计算机仿真》2007年第11期274-276,共3页Computer Simulation

摘　　要：股市投资已经成为人们生活中的重要组成部分,在股票市场中人们最关心的就是股票价格的变化。为了更精确的预测股票价格,得到更合理的股票投资意见。文章中提出了利用灰色系统理论对股票价格进行预测,并且利用残差修正预测结果的方法。根据灰色系统理论建立数学模型,利用得到的股票价格求得具体的预测模型及其预测结果,然后对所得结果进行残差修正以得到更精确的股票价格。文章中对华工股票价格进行预测后,发现利用灰色理论对股票价格预测,具有较高的精确度和应用价值。Stock investment is becoming an important part of daily life. In the stock market everyone is concerned about the change of stock price. In order to forecast stock price more accurate and get more reasonable investment advice ,the article proposes a method of using grey arithmetic to forecast the stock price and utilizing remainder value to correct the result of stock . Erecting mathematic model based on grey system theory, then using forecasting result to get more accurate stock price. This method is proved to have high values.

关 键 词：灰色系统理论 应用 股票 预测 模型 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]