On geometric ergodicity of skewed—SVCHARME models
Ergodicity
DOI:
10.1016/j.spl.2013.10.008
Publication Date:
2013-10-21T17:19:39Z
AUTHORS (2)
ABSTRACT
Markov Chain Monte Carlo is repeatedly used to analyze the properties of intractable distributions in a convenient way. In this paper we derive conditions for geometric ergodicity of a general class of nonparametric stochastic volatility models with skewness driven by hidden Markov Chain with switching.
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