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conditional variance is modelled by a stochastic volatility process. We develop a Monte Carlo maximum likelihood method to obtain … variance, in the order of integration, in the short memory characteristics and in the volatility of volatility. …
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The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
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subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of … increased during the 2008 financial crisis while it has recently returned to its pre-crisis level. The extracted volatility …
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