New Alternative Methods For Estimation Of Asymmetric Stochastic Volatility Model

被引:0
|
作者
Alzghool, Raed [1 ,2 ]
机构
[1] King Faisal Univ, Sch Business, Dept Quantitat Methods, Al Hasa, Saudi Arabia
[2] Al Balqa Appl Univ, Fac Sci, Dept Math, Salt, Jordan
关键词
key Asymmetric Stochastic Volatility (ASV) Model; Quasi likeli-hood Estimation (QLE); Asymptotic Quasi likelihood Estimation (AQLE); Kernel estimation; QUASI-LIKELIHOOD;
D O I
10.1285/i20705948v16n3p639
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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.
引用
收藏
页码:639 / 653
页数:16
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