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Connection between discrete time random walks and stochastic processes by Donsker's Theorem

In this paper we will investigate the connection between a random walk and a continuous time stochastic process. Donsker's Theorem states that a random walk under certain conditions will converge to a Wiener process. We will provide a detailed proof of this theorem which will be used to prove that a geometric random walk converges to a geometric Brownian motion.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mdh-48719
Date January 2020
CreatorsBernergård, Zandra
PublisherMälardalens högskola, Akademin för utbildning, kultur och kommunikation
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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