Two methods, the Quasi-likelihood (QL) and Asymptotic Quasi-likelihood (AQL) for finding a point estimate of unknown parameters in asymmetric stochastic volatility (ASV) model with leverage effect are proposed. The QL estimation (QLE) developing if probability distribution of (ASV) model is not available. The AQL estimation (AQLE) building on QLE technique and is obtained where variance and covariance are not available. The AQL estimation substitutes the variance and covariance by kernel estimator in QL. Application of the QLE and AQLE to analyze several data sets modeled by ASV model are considered
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponentia...
Two competing analytical approaches, namely, the generalized method of moments (GMM) and quasi-maxim...
This paper considers parameter estimation for nonlinear and non-Gaussian state-space models with cor...
For estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likelihood (Q...
AbstractFor estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likel...
Publicado además en: Recent developments in Time Series, 2003, vol. 2, ISBN13: 9781840649512, pp....
This paper considers parameter estimation for state-space models (SSMs). We propose quasi-likelihood...
The statistical properties of a general family of asymmetric stochastic volatility (A-SV) models whi...
The stochastic volatility model usually incorporates asymmetric effects by introducing the negative ...
In this paper, we compare the small sample performances of Quasi Maximum Likelihood (QML) and Monte...
In the present paper we consider the Quasi Maximum Likelihood (QML) procedure for the estimation of ...
The stochastic volatility model usually incorporates asymmetric effects by introducing the negative ...
In this paper, we propose a new asymmetric stochastic volatility model whose asymmetry parameter ca...
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
The paper proposes the use of data cloning (DC) to the estimation of general univariate asymmetric s...
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponentia...
Two competing analytical approaches, namely, the generalized method of moments (GMM) and quasi-maxim...
This paper considers parameter estimation for nonlinear and non-Gaussian state-space models with cor...
For estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likelihood (Q...
AbstractFor estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likel...
Publicado además en: Recent developments in Time Series, 2003, vol. 2, ISBN13: 9781840649512, pp....
This paper considers parameter estimation for state-space models (SSMs). We propose quasi-likelihood...
The statistical properties of a general family of asymmetric stochastic volatility (A-SV) models whi...
The stochastic volatility model usually incorporates asymmetric effects by introducing the negative ...
In this paper, we compare the small sample performances of Quasi Maximum Likelihood (QML) and Monte...
In the present paper we consider the Quasi Maximum Likelihood (QML) procedure for the estimation of ...
The stochastic volatility model usually incorporates asymmetric effects by introducing the negative ...
In this paper, we propose a new asymmetric stochastic volatility model whose asymmetry parameter ca...
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
The paper proposes the use of data cloning (DC) to the estimation of general univariate asymmetric s...
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponentia...
Two competing analytical approaches, namely, the generalized method of moments (GMM) and quasi-maxim...
This paper considers parameter estimation for nonlinear and non-Gaussian state-space models with cor...