Estimation for stochastic volatility model: Quasi-likelihood and asymptotic quasi-likelihood approaches

被引:3
|
作者
Alzghool, Raed [1 ,2 ]
机构
[1] Univ Dammam, Dept Basic Sci & Humanities, Coll Engn, Dammam, Saudi Arabia
[2] Al Balqa Appl Univ, Fac Sci, Dept Math, Salt, Jordan
关键词
Stochastic volatility model (SVM); Quasi-likelihood (QL); Asymptotic quasi-likelihood (AQL); Martingale difference; Kernel estimator; STATE-SPACE MODELS;
D O I
10.1016/j.jksus.2016.06.004
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 Sigma is unknown. The AQL approach replaces the true variance-covariance matrix Sigma by nonparametric kernel estimator of Sigma in QL. (C) 2016 The Author. Production and hosting by Elsevier B.V. on behalf of King Saud University.
引用
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页码:114 / 118
页数:5
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