Lp OPTIMAL PREDICTION OF THE LAST ZERO OF A SPECTRALLY NEGATIVE LEVY PROCESS
成果类型:
Article
署名作者:
Baurdoux, Erik J.; Pedraza, Jose M.
署名单位:
University of London; London School Economics & Political Science; University of Manchester
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/23-AAP1994
发表日期:
2024
页码:
1350-1402
关键词:
brownian-motion
ruin probabilities
passage times
overshoots
attains
摘要:
Given a spectrally negative Levy process X drifting to infinity, (inspired on the early ideas of Shiryaev (2002)) we are interested in finding a stopping time that minimises the Lp distance (p > 1) with g, the last time X is negative. The solution is substantially more difficult compared to the case p = 1, for which it was shown by Baurdoux and Pedraza (2020) that it is optimal to stop as soon as X exceeds a constant barrier. In the case of p > 1 treated here, we prove that solving this optimal prediction problem is equivalent to solving an optimal stopping problem in terms of a two-dimensional strong Markov process that incorporates the length of the current positive excursion away from 0. We show that an optimal stopping time is now given by the first time that X exceeds a nonincreasing and nonnegative curve depending on the length of the current positive excursion away from 0. We further characterise the optimal boundary and the value function as the unique solution of a nonlinear system of integral equations within a subclass of functions. As examples, the case of a Brownian motion with drift and a Brownian motion with drift perturbed by a Poisson process with exponential jumps are considered.
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