What You Should Know About Simulation and Derivatives

被引:35
作者
Fu, Michael C. [1 ,2 ]
机构
[1] Univ Maryland, Robert H Smith Sch Business, College Pk, MD 20742 USA
[2] Univ Maryland, Syst Res Inst, College Pk, MD 20742 USA
基金
美国国家科学基金会;
关键词
stochastic simulation; Monte Carlo simulation; derivatives; gradient estimation; perturbation analysis; likelihood ratio method; score function method; weak derivatives; financial Greeks; Malliavin calculus;
D O I
10.1002/nav.20313
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Derivatives (or gradients) are important for both sensitivity analysis and optimization, and in simulation models, these can often be estimated efficiently using various methods other than brute-force finite differences. This article briefly summarizes the main approaches and discusses areas in which the approaches can most fruitfully be applied: queueing, inventory, and finance. In finance, the focus is on derivatives of another sort. (C) 2008 Wiley Periodicals, Inc. Naval Research Logistics 55: 723-736, 2008
引用
收藏
页码:723 / 736
页数:14
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