混合周期GARCH模型:在汇率建模中的应用

F. Hamdi, Saïd Souam
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引用次数: 10

摘要

本文将混合周期ARCH模型(MPARCH)推广为混合周期GARCH模型(MPGARCH),并给出了这类模型的一些概率性质。提出了一种基于期望最大化(EM)算法的估计方法。最后,它被用于模拟阿尔及利亚第纳尔对美元和欧元的即期汇率。实证分析表明,本文提出的混合模型在竞争模型中具有最好的性能。
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Mixture periodic GARCH models: Applications to exchange rate modeling
In this paper, we propose an extension of a mixture periodic ARCH model (MPARCH) to a mixture periodic GARCH model (MPGARCH), and provide some probabilistic properties of this class of models. An estimation method based on the Expectation-Maximization (EM) algorithm is proposed. Finally, it is applied to model the spot rates of the Algerian Dinar against the U.S.-Dollar and Euro. The empirical analysis demonstrates that the proposed mixture model yields the best performance among the competing models.
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