Local tail asymptotics for the joint distribution of length and of maximum of a random walk excursion
Elena Perfilev, Vitali Wachtel

TL;DR
This paper investigates the detailed asymptotic behavior of the joint distribution of the length, maximum, and timing of a random walk excursion with negative drift, providing insights into their local limit properties.
Contribution
It derives the local asymptotics of the joint distribution of excursion length, maximum, and timing for a random walk with negative drift and light-tailed increments, enabling local limit theorems.
Findings
Derived local asymptotics for joint distribution
Established local central limit theorems conditioned on large maxima
Provided detailed probabilistic descriptions of excursion characteristics
Abstract
This note is devoted to the study of the maximum of the excursion of a random walk with negative drift and light-tailed increments. More precisely, we determine the local asymptotics of the joint distribution of the length, maximum and the time at which this maximum is achieved. This result allows one to obtain a local central limit theorems for the length of the excursion conditioned on large values of the maximum.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Probability and Risk Models · Stochastic processes and financial applications
