An Elementary Approach to Optimal Stopping Problems for AR(1) Sequences

被引:9
作者
Christensen, Soeren [1 ]
Irle, Albrecht [1 ]
Novikov, Alexander [2 ]
机构
[1] Univ Kiel, Math Seminar, D-24098 Kiel, Germany
[2] Univ Technol Sydney, Dept Math Sci, Sydney, NSW 2007, Australia
来源
SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS | 2011年 / 30卷 / 01期
关键词
Autoregressive sequence; Exponential innovations; Optimal stopping; Threshold times;
D O I
10.1080/07474946.2011.539925
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
Optimal stopping problems form a class of stochastic optimization problems that has a wide range of applications in sequential statistics and mathematical finance. Here we consider a general optimal stopping problem with discounting for autoregressive processes. Our strategy for a solution consists of two steps: First we give elementary conditions to ensure that an optimal stopping time is of threshold type. Then the resulting one-dimensional problem of finding the optimal threshold is to be solved explicitly. The second step is carried out for the case of exponentially distributed innovations.
引用
收藏
页码:79 / 93
页数:15
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