Research on stock price forecast based on gray relational analysis and ARMAX model

Chui-yong Zheng, Jun Zhu
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引用次数: 6

Abstract

There are some uncertainties associated with the influencing factors in the stock price forecasting model. Main influencing factors of stock price are selected by gray relational analysis, and the main influencing factor was used as an exogenous variable to establish the ARMAX model to forecast the stock price. Taking PetroChina as an example to carry out case analysis, the result shows that the fitting between the stock price forecast and the actual value calculated by the ARMAX model is high. This paper effectively improves the accuracy of stock price forecasting while providing a valuable reference for investors.
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基于灰色关联分析和ARMAX模型的股票价格预测研究
在股票价格预测模型中,影响因素存在一定的不确定性。通过灰色关联分析选择股价的主要影响因素,并将主要影响因素作为外生变量,建立ARMAX模型对股价进行预测。以中国石油为例进行案例分析,结果表明,ARMAX模型计算出的股价预测值与实际值拟合度较高。本文有效地提高了股票价格预测的准确性,同时为投资者提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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