Asymptotics for exponential functionals of random walks

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Abstract

This paper provides a detailed description for the asymptotics of exponential functionals of random walks with light/heavy tails. We give the convergence rate based on the key observation that the asymptotics depends on the sample paths with either slowly decreasing local minimum or final value below a low level. Also, our thoughtful analysis of the interrelationship between the local minimum and the final value provides the exact expression for the limiting coefficients in terms of some transformations of the random walk.

Original languageEnglish
Pages (from-to)1-42
Number of pages42
JournalStochastic Processes and their Applications
Volume165
DOIs
Publication statusPublished - Nov 2023

Keywords

  • Domain of attraction
  • Exponential functional
  • Random walk
  • Regular variation
  • Spitzer's condition

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Xu, W. (2023). Asymptotics for exponential functionals of random walks. Stochastic Processes and their Applications, 165, 1-42. https://doi.org/10.1016/j.spa.2023.07.013