Comparison of stock price prediction ability based on GARCH and BP_ANN

Ercheng Liu
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Abstract

This article first summarizes the history and development of two types of methods in the field of forecasting, GARCH model and artificial neural network ANA; then conducts data analysis and research in the Chinese stock market background which use matlab software and eviews software to run the double types respectively. This obvious BP-ANN model and GARCH model use to predict then continue to determine the trend of the Shanghai index which is A-share, and the price trend of a stock of Great Wisdom respectively. In the end, compare the output results to deepen the understanding of financial data analysis methods. Through the research of this article, it can be polished, whether it is in terms of stock index forecasting or single stock forecasting.
基于GARCH和BP_ANN的股价预测能力比较
本文首先总结了GARCH模型和人工神经网络ANA两类预测方法在预测领域的历史和发展;然后在中国股市背景下进行数据分析和研究,分别使用matlab软件和eviews软件对双类型进行运行。用这种明显的BP-ANN模型和GARCH模型分别预测然后继续确定上证指数a股的走势和大智慧a股的价格走势。最后对输出结果进行对比,加深对财务数据分析方法的理解。通过本文的研究,无论是在股指预测方面,还是在个股预测方面,都可以加以完善。
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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