A note on a deterministic property to obtain the long run behavior of the range of a stochastic process
Maher Boudabra, Binghao Wu

TL;DR
This paper demonstrates that the long-term behavior of the range of a stochastic process with drift can be derived from a deterministic property of the process, providing a new perspective on asymptotic analysis.
Contribution
It introduces a deterministic property that directly yields the asymptotic behavior of the range of processes with drift, extending previous stochastic results.
Findings
Range of drifted Brownian motion asymptotically equals drift times time
Deterministic property can determine long-term range behavior
Provides a continuous analogue of a known discrete result
Abstract
A Brownian motion with drift is simply a process of the form where is a standard Brownian motion and \footnote{The case is deducible by remarking .} In \cite{tanre2006range}, the authors considered the drifted Brownian motion and studied the statistics of some related sequences defined by certain stopping times. In particular, they provided the law of the range of as well as its first range process . In particular, they investigated the asymptotic comportment of and . They proved that if is a Brownian motion with a positive drift then its range is asymptotically equivalent to . In other words…
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Taxonomy
TopicsStochastic processes and financial applications · Capital Investment and Risk Analysis · Advanced Queuing Theory Analysis
