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A Markov switching model of the conditional volatility of crude oil futures prices

机译:原油期货价格条件波动的马尔可夫转换模型

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摘要

This paper examines the temporal behaviour of volatility of daily returns on crude oil futures using a generalised regime switching model that allows for abrupt changes in mean and variance, GARCH dynamics, basis - driven time - varying transition probabilities and conditional leptokurtosis. This flexible model enables us to capture many complex features of conditional volatility within a relatively parsimonious set-up. We show that regime shifts are clearly present in the data and dominate GARCH effects.
机译:本文使用广义制度转换模型研究了原油期货日收益率波动的时间行为,该模型允许均值和方差的突然变化,GARCH动态,基础驱动的时变过渡概率和有条件的峰度。这种灵活的模型使我们能够在相对简化的设置中捕获条件波动性的许多复杂特征。我们表明,政权转移显然存在于数据中,并主导了GARCH效应。

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