ABSTRACT In this paper we propose to use Monte Carlo Markov Chain methods to estimate the paramet... more ABSTRACT In this paper we propose to use Monte Carlo Markov Chain methods to estimate the parameters of Stochastic Volatility Models with several factors varying at different time scales. The originality of our approach, in contrast with classical factor models is the identification of two factors driving univariate series at well-separated time scales. This is tested with simulated data as well as foreign exchange data. KeywordsTime scales in volatility-Bayesian estimation-Markov Chain Monte Carlo-Foreign exchange volatility model-Multifactor model
ABSTRACT In this paper we propose to use Monte Carlo Markov Chain methods to estimate the paramet... more ABSTRACT In this paper we propose to use Monte Carlo Markov Chain methods to estimate the parameters of Stochastic Volatility Models with several factors varying at different time scales. The originality of our approach, in contrast with classical factor models is the identification of two factors driving univariate series at well-separated time scales. This is tested with simulated data as well as foreign exchange data. KeywordsTime scales in volatility-Bayesian estimation-Markov Chain Monte Carlo-Foreign exchange volatility model-Multifactor model
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