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A. Fauth

dblp:145/0831 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational finance and economics · 100%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational finance and economics
financial modeling
0.212014
Multifractal Random Walks With Fractional Brownian Motion via Malliavin Calculus · IEEE Trans. Inf. Theory 2014
Information theory › probability theory › stochastic processes › self-similar processes
fractional brownian motion
0.112014
Multifractal Random Walks With Fractional Brownian Motion via Malliavin Calculus · IEEE Trans. Inf. Theory 2014
Information theory › probability theory
stochastic processes
0.112014
Multifractal Random Walks With Fractional Brownian Motion via Malliavin Calculus · IEEE Trans. Inf. Theory 2014

Methods — techniques the papers use, named apart from their topics

stochastic integration · 0.4malliavin calculus · 0.4
YearPublicationVenuePosition
2014 Multifractal Random Walks With Fractional Brownian Motion via Malliavin Calculus
abstract
We introduce a Multifractal Random Walk (MRW) defined as a stochastic integral of an infinitely divisible noise with respect to a dependent fractional Brownian motion. Using the techniques of the Malliavin calculus, we study the existence of this object and its properties. We then propose a continuous time model for financial modeling that captures the main properties observed in the empirical data, including the leverage effect. We illustrate our result by numerical simulations.
A. Fauth, C. A. Tudor
IEEE Trans. Inf. Theory1