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基于ARIMA模型与神经网络模型的股价预测
引用本文:陈小玲. 基于ARIMA模型与神经网络模型的股价预测[J]. 经济数学, 2017, 0(4): 30-34
作者姓名:陈小玲
作者单位:(广东财经大学 统计与数学学院,广东 广州 510320)
摘    要:了解并掌握股价运行的规律是许多投资者和学者所关注的领域,采用了ARIMA模型和BP神经网络对百度、阿里巴巴两支股票的收盘价进行建模与预测,并对比了两模型的预测精度,结果表明两种预测模型都达到比较理想的预测精度和短期预测可行的效果.

关 键 词:股票价格;ARIMA模型;BP神经网络;预测

Prediction of Stock-Price Based on ARIMA Model and Neural network Model
CHEN Xiaoling. Prediction of Stock-Price Based on ARIMA Model and Neural network Model[J]. Mathematics in Economics, 2017, 0(4): 30-34
Authors:CHEN Xiaoling
Affiliation:(College of Statistics and Mathematics, Guangdong University of Finance and Economics, Guangzhou, Guangdong 510320,China)
Abstract:Understanding and mastering the regular pattern of stock operation is an area concerned by many investors and scholars. This paper adopted the ARIMA model and BP neural network to modeling and prediction armed on closing price of the BIDU and BABA. Besides comparing them according to the prediction accuracy, the results show that the two forecasting models can achieve the ideal prediction precision and the effect of short-term forecasting is feasible.
Keywords:stock-price   ARIMA model   BP neural network   prediction
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