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On Asymptotical Efficiency of Importance Sampling with p-order Relative Moment Minimization

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成果类型:
期刊论文
作者:
Gao Quan-sheng;Chen Xin
作者机构:
[Chen Xin; Gao Quan-sheng] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430023, Peoples R China.
语种:
英文
期刊:
2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS
年:
2008
页码:
608-611
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
The optimal parameters of candidate measures established by importance sampling are usually obtained by minimizing the quadratic criterion. To begin with, in this paper a scheme is developed for finding the alternative measure that is optimal in the sense that the p-order relative moment is minimized. Secondly, a necessary and sufficient condition for asymptotic efficiency of the optimal change of drift is demonstrated. Lastly, the change of drift is selected through Robbins-Monro type algorithm. When pricing options via Monte Carlo simulations, several numerical examples contrasting different...

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