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The Model of Grey-Markov Forecasting Based on Volatility Series and Its Application

机译:基于波动率序列的灰色马尔可夫预测模型及其应用

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摘要

Considering the problem that GM (1, 1) model has notideal predictive results, the Grey-Markov forecasting model is constructed based on the mechanism and characteristic of GM (1, 1) model and Markov forecasting model.GM (1, 1) model is used to describe the long-term developing trends as well as the Markov model ensures the transfer correlations between different statuses.Additionally, the Markov model can be employed to amend the prediction results of GM (1, 1), which can improve the prediction precision.Finally, the validity of this new model is shown with an instance analysis.
机译:考虑到GM(1,1)模型具有不理想的预测结果的问题,基于GM(1,1)模型和Markov预测模型的机理和特征构造了Grey-Markov预测模型.GM(1,1)模型马尔可夫模型用于描述长期发展趋势,马尔可夫模型可确保不同状态之间的转移相关性。此外,马尔可夫模型可用于修正GM(1、1)的预测结果,从而可以改善预测最后,通过实例分析显示了该新模型的有效性。

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