© World Scientific Publishing CompanyIn this paper we propose a type of mean reverting model with jumps, where the mean reverting level changes according to a continuous time, finite state Markov chain. This model could be applied to the interest rate and energy markets. We apply filtering techniques and obtain finite dimensional filters for the unobservable state of the Markov chain based on observations of the mean reverting diffusion. Various auxiliary filters are developed that allow us to estimate the parameters of the Markov chain by the EM algorithm. A simulation study is done for a concrete example.Ping Wu; Robert J. Elliot
In this article we compute new state and mode estimation algorithms for discrete-time Gauss--Markov ...
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[[abstract]]Hamilton (1989) proposed Markov switching model, which is based on Markov chain to descr...
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International audienceA simple method is proposed to estimate stochastic volatility models with Mark...
This paper focuses on interest rate models with regime switching and extends previous nonlinear thre...
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In this article we compute new state and mode estimation algorithms for discrete-time Gauss--Markov ...
We consider a continuous time Markov switching model (MSM) which is widely used in mathematical fina...
We propose a nonlinear state space model that includes an unobserved level component and an unobserv...
The regime-switching Lévy model combines jump-diffusion under the form of a Lévy process, and Markov...
[[abstract]]Hamilton (1989) proposed Markov switching model, which is based on Markov chain to descr...
In an earlier paper we developed a stochastic model incorporating a double-Markov modulated mean-rev...
In this paper we develop a stochastic model incorporating a double-Markov modulated mean-reversion m...
A model for intraday stock price movements is proposed using a doubly stochastic Poisson process wit...
In this paper we discuss the calibration of models built on mean-reverting processes combined with M...
Estimating the parameters of a mean-reverting Markov-switching jump-diffusion model fo
In this paper we discuss the calibration issues of models built on mean-reverting processes combined...
Abstract. We consider filtering for a hidden Markov model that evolves with multiple time scales in ...
International audienceA simple method is proposed to estimate stochastic volatility models with Mark...
This paper focuses on interest rate models with regime switching and extends previous nonlinear thre...
Markov switching models are a family of models that introduces time variation in the parameters in t...
In this article we compute new state and mode estimation algorithms for discrete-time Gauss--Markov ...
We consider a continuous time Markov switching model (MSM) which is widely used in mathematical fina...
We propose a nonlinear state space model that includes an unobserved level component and an unobserv...