Optimal stopping of the maximum process: The maximality principle

77Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

The solution is found to the optimal stopping problem with payoff supτE(Sτ - ∫0τ c(Xt)dt), where S = (St)t≥0 is the maximum process associated with the one-dimensional time-homogeneous diffusion X = (Xt)t≥0, the function x → c(x) is positive and continuous, and the supremum is taken over all stopping times τ of X for which the integral has finite expectation. It is proved, under no extra conditions, that this problem has a solution; that is, the payoff is finite and there is an optimal stopping time, if and only if the following maximality principle holds: the first-order nonlinear differential equation g′(s) = σ2(g(s))L′(g(s))/2c(g(s))(L(s)-L(g(s))) admits a maximal solution s → g*(s) which stays strictly below the diagonal in ℝ2. [In this equation x → σ(x) is the diffusion coefficient and x → L(x) the scale function of X.] In this case the stopping time τ* = inf{t>0|Xt≤g*(St)} is proved optimal, and explicit formulas for the payoff are given. The result has a large number of applications and may be viewed as the cornerstone in a general treatment of the maximum process.

Cite

CITATION STYLE

APA

Peskir, G. (1998). Optimal stopping of the maximum process: The maximality principle. Annals of Probability, 26(4), 1614–1640. https://doi.org/10.1214/aop/1022855875

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free