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Comparison of stock price prediction ability based on GARCH and BP_ANN

机译:基于GARCH和BP_ANN的股票价格预测能力比较

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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.
机译:本文首先总结了预测,加油模型和人工神经网络ANA领域两种方法的历史和开发; 然后在使用MATLAB软件和EVIews软件运行双重类型的中国股票市场背景中进行数据分析和研究。 这种明显的BP-Ann模型和GARCH模型用于预测,然后继续确定上海指数的趋势,分别是股票股票的价格趋势。 最后,比较输出结果来深化对财务数据分析方法的理解。 通过本文的研究,它可以抛光,无论是股指预测还是单一库存预测方面。

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