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Local Polynomial Estimation of Time-Dependent Diffusion Parameter for Discretely Observed SDE Models
被引:1
|作者:
Wang, Ji-xia
[1
]
Xiao, Qing-xian
[2
]
机构:
[1] Henan Normal Univ, Coll Math & Informat Sci, Xinxiang 453007, Peoples R China
[2] Shanghai Univ Sci & Technol, Sch Business, Shanghai 200093, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
Diffusion model;
Time-dependent parameter;
Local polynomial estimation;
Kernel weighted;
Asymptotic normality;
TERM STRUCTURE DYNAMICS;
D O I:
10.2298/FIL1404871W
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
Extending the results of Yu, Yu, Wang and Lin [10], we study the local polynomial estimation of the time-dependent diffusion parameter for time-inhomogeneous diffusion models. Considering the diffusion parameter being positive, we obtain the local polynomial estimation of the diffusion parameter by taking the diffusion parameter to be local log-polynomial fitting. The asymptotic bias, asymptotic variance and asymptotic normal distribution of the volatility function are discussed. A real data analysis is conducted to show the performance of the estimations proposed.
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页码:871 / 878
页数:8
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