Predicting the Time of the Ultimate Maximum for Brownian Motion with Drift

被引:0
|
作者
du Toit, Jacques [1 ]
Peskir, Goran [1 ]
机构
[1] Univ Manchester, Sch Math, Manchester M13 9PL, Lancs, England
关键词
Brownian motion; optimal prediction; optimal stopping; ultimate-maximum time; parabolic free-boundary problem; smooth fit; normal reflection; local time-space calculus; curved boundary; nonlinear Volterra integral equation; Markov process; diffusion process; Levy process;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Given a standard Brownian motion B-mu = (B-t(mu))0 <= t <= 1 with drift p E R, letting S-t(mu) = max 0 <= s <= t B-s(mu) for t epsilon [0, 1), and denoting by B the time at which S-1(mu) is attained, we consider the optimal prediction problem V-* = (0 <= r <= 1)inf E vertical bar theta - tau vertical bar where the infimum is taken over all stopping times tau of B-mu. Reducing the optimal prediction problem to a parabolic free-boundary problem and making use of local time-space calculus techniques, we show that the following stopping time is optimal: tau(*) = inf{0 <= t <= 1 vertical bar S-t(mu) - B-t(mu) >= b(t)} where b : [0, 1] -> R is a continuous decreasing function with b(1) = 0 that is characterized as the unique solution to a nonlinear Volterra integral equation. This also yields an explicit formula for V-* in terms of b. If mu = 0 then there is a closed form expression for b. This problem was solved in [14] and [4] using the method of time change. The latter method cannot be extended to the case when mu not equal 0 and the present paper settles the remaining cases using a different approach. It is also shown that the shape of the optimal stopping set remains preserved for all Levy processes.
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页码:95 / 112
页数:18
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