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Continuous time regime-switching model applied to foreign exchange rate

机译:汇率连续时间制度转换模型

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The continuous time modified Cox-Ingersoll-Ross (1985) stochastic model is employed, combining with the Hamilton (1989) type Markov regime-switching framework, to study daily foreign exchange rates where all parameter values depend on the value of a continuous time Markov chain. The generalized Expectation-Maximization algorithm is applied to a more general class of regime switching models and used to study some exchange rate data. We compare the obtained results with non regime switching models and notice that the regime switching outcomes match much better the reality than the others without Markov switching; and two regimes in most of the cases are better than more regimes.
机译:采用连续时间修正的Cox-Ingersoll-Ross(1985)随机模型,结合Hamilton(1989)类型的马尔可夫政权切换框架,研究每日汇率,其中所有参数值均取决于连续时间的马尔可夫值链。广义期望最大化算法被应用于更广泛的一类政权转换模型,并用于研究一些汇率数据。我们将获得的结果与非体制切换模型进行比较,并注意到与没有进行马尔可夫切换的模型相比,体制切换结果与现实的匹配要好得多。在大多数情况下,两种制度要优于更多制度。

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