Classes of measures which can be embedded in the Simple Symmetric Random Walk

Alexander M Cox, Jan Obloj

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
148 Downloads (Pure)

Abstract

We characterize the possible distributions of a stopped simple symmetric random walk Xτ, where τ is a stopping time relative to the natural filtration of (Xn). We prove that any probability measure on Z can be achieved as the law of X stopped at a minimal stopping time, but the set of measures obtained under the further assumption that stopped process is a uniformly integrable martingale is a fractal subset of the set of all centered probability measures on Z. This is in sharp contrast to the well-studied Brownian motion setting. We also investigate the discrete counterparts of the Chacon-Walsh (1976) and Azéma-Yor (1979) embeddings and show that they lead to yet smaller sets of achievable measures. Finally, we solve explicitly the Skorokhod embedding problem constructing, for a given measure μ, a minimal stopping time τ which embeds μ and which further is uniformly integrable whenever a uniformly integrable embedding of μ exists.
Original languageEnglish
Pages (from-to)1203-1228
Number of pages26
JournalElectronic Journal of Probability
Volume13
DOIs
Publication statusPublished - 2008

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