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Model construction and empirical study of ARMA-EGARCH

机译:ARMA-EGARCH的模型构建和实证研究

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This paper establishes an ARMA-EGARCH-M model by combining ARMA model with ARCH group models to study securities market volatility appraisal. The results based on examination of measuring indices for forecasting error using mass samples indicate that ARMA-EGARCH-M model surpasses ARCH group models on Shanghai securities market volatility fitting. To solve the fluctuation cluster and continuance, it's suggested to establish a short sales trading mechanism in the market.
机译:本文将ARMA模型与ARCH组模型相结合,建立了ARMA-EGARCH-M模型,以研究证券市场的波动性评估。通过使用大量样本对预测误差的测量指标进行检验的结果表明,在上海证券市场波动拟合中,ARMA-EGARCH-M模型优于ARCH组模型。为了解决波动的集群性和持续性,建议在市场中建立卖空交易机制。

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