Showing 1 - 10 of 8,791
In this paper, we derive a new algebraic property of two scales estimation in high frequency data, under which the …
Persistent link: https://www.econbiz.de/10012914838
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These … maximum likelihood estimation (MLE) for the copula parameter, the invariant distribution and the conditional quantiles. We …
Persistent link: https://www.econbiz.de/10003817253
This paper considers efficient estimation of copula-based semiparametric strictly stationary Markov models. These … geometrically ergodic. We then propose a sieve maximum likelihood estimation (MLE) for the copula parameter, the invariant …
Persistent link: https://www.econbiz.de/10012718937
-Gaussian dependency structures with a small number of parameters. In this paper we develop a novel adaptive estimation technique of the …
Persistent link: https://www.econbiz.de/10012966304
-Gaussian dependency structures with a small number of parameters. In this paper we develop a novel adaptive estimation technique of the … ; Archimedean copula ; adaptive estimation …
Persistent link: https://www.econbiz.de/10003953027
structure. In addition, (iii) this paper devises a simple, intuitive formulation of copula parameter estimation as a …
Persistent link: https://www.econbiz.de/10013009170
We introduce the notion of realized copula. Based on assumptions of the marginal distributions of daily stock returns and a copula family, realized copula is defined as the copula structure materialized in realized covariance estimated from within-day high-frequency data. Copula parameters are...
Persistent link: https://www.econbiz.de/10009537332
estimated from within-day high-frequency data. The estimation is carried out in a method-of-moments fashion using Hoeffding …
Persistent link: https://www.econbiz.de/10013008110
This paper considers estimation of semi-nonparametric GARCH filtered copula models in which the individual time series … were directly observed. These nice properties lead to simple and more accurate estimation of Value-at-Risk (VaR) for …
Persistent link: https://www.econbiz.de/10012857717
This paper develops a new unified approach to copula-based modeling and characterizations for time series and stochastic processes. We obtain complete characterizations of many time series dependence structures in terms of copulas corresponding to their finite-dimensional distributions. In...
Persistent link: https://www.econbiz.de/10014062258