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Persistent link: https://www.econbiz.de/10003687936
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These models are characterized by nonparametric invariant distributions and parametric copula functions; where the copulas capture all scale-free temporal dependence and tail dependence of...
Persistent link: https://www.econbiz.de/10003817253
Persistent link: https://www.econbiz.de/10003808786
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These models are characterized by nonparametric invariant (one-dimensional marginal) distributions and parametric bivariate copula functions; where the copulas capture temporal dependence...
Persistent link: https://www.econbiz.de/10012718937
Persistent link: https://www.econbiz.de/10003995401
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Persistent link: https://www.econbiz.de/10012429122
Persistent link: https://www.econbiz.de/10013187986
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These models are characterized by nonparametric invariant distributions and parametric copula functions; where the copulas capture all scale-free temporal dependence and tail dependence of...
Persistent link: https://www.econbiz.de/10010288444
Persistent link: https://www.econbiz.de/10008807862