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灰色模型在股票价格预测中的应用——以中国石化为例
引用本文:康建伟.灰色模型在股票价格预测中的应用——以中国石化为例[J].河北工业科技,2013,30(5):360-363.
作者姓名:康建伟
作者单位:河南工业大学电气工程学院
摘    要:通过对原始数据进行筛选,将GM(1,1)模型用于股票预测,对交易日收盘价格进行预测,并以中国石化(600028)2012-01-04至2012-12-31的交易数据为例进行了分析。分析结果表明,灰色预测模型的平均预测准确度为98.63%。考虑到股票交易规则,42%的预测数据为有效预测,有效预测的平均预测准确度为99.31%。

关 键 词:GM(1  1)模型  股票预测  预测准确度

Application of grey model in stock price forecasting:Taking Sinopec as an example
KANG Jianwei.Application of grey model in stock price forecasting:Taking Sinopec as an example[J].Hebei Journal of Industrial Science & Technology,2013,30(5):360-363.
Authors:KANG Jianwei
Institution:KANG Jianwei(College of Electrical Engineering,Henan University of Technology,Zhengzhou Henan 450001,China)
Abstract:By analyzing original data of Sinopec(600028) from January 4th 2012 to December 31st 2012,the closing price of a trading day can be predicted by using GM(1,1) model.The result shows that the average forecasting accuracy of the model is 98.63%.Taking into account transaction rules of the stock exchanges,42% of predicted data is useful and the total forecasting accuracy is 99.31%.
Keywords:GM(1  1) model  stock forecasting  forecasting accuracy
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