For estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likelihood (QL) and asymptotic quasi-likelihood (AQL) methods. The QL approach is quite simple and does not require full knowledge of the likelihood functions of the SVM. The AQL technique is based on the QL method and is used when the covariance matrix Σ is unknown. The AQL approach replaces the true variance–covariance matrix Σ by nonparametric kernel estimator of Σ in QL
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
This paper extends the ordinary quasi-likelihood estimator for stochastic volatility models based on...
Abstract: In this paper, we analyse the finite sample properties of a Quasi-Maximum Likelihood (QML)...
AbstractFor estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likel...
In the present paper we consider the Quasi Maximum Likelihood (QML) procedure for the estimation of ...
Publicado además en: Recent developments in Time Series, 2003, vol. 2, ISBN13: 9781840649512, pp....
Stochastic volatility models have been focus for research in recent years. One interesting and impor...
Two methods, the Quasi-likelihood (QL) and Asymptotic Quasi-likelihood (AQL) for finding a point est...
This paper presents a Monte Carlo maximum likelihood method of estimating Stochastic Volatility (SV)...
Abstract—This paper considers parameter esti-mation for state-space models (SSMs). We pro-pose quasi...
This paper considers parameter estimation for state-space models (SSMs). We propose quasi-likelihood...
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
This paper investigates the properties of the well-known maximum likelihood estimator in the presenc...
The stochastic volatility (SV) model is an alternative to GARCH models to model time varying volatil...
Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has...
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
This paper extends the ordinary quasi-likelihood estimator for stochastic volatility models based on...
Abstract: In this paper, we analyse the finite sample properties of a Quasi-Maximum Likelihood (QML)...
AbstractFor estimation of the stochastic volatility model (SVM), this paper suggests the quasi-likel...
In the present paper we consider the Quasi Maximum Likelihood (QML) procedure for the estimation of ...
Publicado además en: Recent developments in Time Series, 2003, vol. 2, ISBN13: 9781840649512, pp....
Stochastic volatility models have been focus for research in recent years. One interesting and impor...
Two methods, the Quasi-likelihood (QL) and Asymptotic Quasi-likelihood (AQL) for finding a point est...
This paper presents a Monte Carlo maximum likelihood method of estimating Stochastic Volatility (SV)...
Abstract—This paper considers parameter esti-mation for state-space models (SSMs). We pro-pose quasi...
This paper considers parameter estimation for state-space models (SSMs). We propose quasi-likelihood...
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
This paper investigates the properties of the well-known maximum likelihood estimator in the presenc...
The stochastic volatility (SV) model is an alternative to GARCH models to model time varying volatil...
Although stochastic volatility (SV) models have an intuitive appeal, their empirical application has...
A stochastic volatility model may be estimated by a quasi-maximum likelihood procedure by transformi...
This paper extends the ordinary quasi-likelihood estimator for stochastic volatility models based on...
Abstract: In this paper, we analyse the finite sample properties of a Quasi-Maximum Likelihood (QML)...