Journal of Applied Probability

An asymptotic expansion for the optimal stopping boundary in problems with non-linear costs of observation

A. Irle, O. Kubillus, and V. Paulsen
Source: J. Appl. Probab. Volume 38, Number 1 (2001), 67-79.

Abstract

The assumption of linear costs of observation usually leads to optimal stopping boundaries which are straight lines. For non-linear costs of observation, the question arises of how the shape of cost functions influences the shape of optimal stopping boundaries. In Irle (1987), (1988) it was shown that, under suitable assumptions on c, for the problem of optimal stopping (Wt + x)+ - c(s + t), t ∊ [0,∞), the optimal stopping boundary h(t) can be enscribed between k1/c'(t) and k2/c'(t) for some constants k1, k2. In this paper we find the exact asymptotic expansion h(t) = 1/(4c'(t))(1 + o(1)).

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Primary Subjects: 60G40
Secondary Subjects: 62L15
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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.jap/996986644
Digital Object Identifier: doi:10.1239/jap/996986644
Mathematical Reviews number (MathSciNet): MR1816114


2012 © Applied Probability Trust

Journal of Applied Probability

Journal of Applied Probability