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Article . 2019
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
SIAM Journal on Financial Mathematics
Article . 2019 . Peer-reviewed
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SSRN Electronic Journal
Article . 2017 . Peer-reviewed
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Trading Fractional Brownian Motion

Trading fractional Brownian motion
Authors: Guasoni P; Nika Z; Rasonyi M;

Trading Fractional Brownian Motion

Abstract

The authors consider a market with an asset price described by fractional Brownian motion, which can be traded with temporary nonlinear price impact. The asymptotically optimal strategies for the maximization of expected terminal wealth are obtained. These strategies generate an average terminal wealth that grows with a power of the horizon, the exponent depending on both the Hurst and the price-impact parameters. Obtained results are extended to long memory Gaussian processes and to a class of H-self-similar processes.

Keywords

self-similar processes, expected terminal wealth, fractional Brownian motion, Fractional processes, including fractional Brownian motion, trading, transaction costs, Portfolio theory, asymptotically optimal strategies, Gaussian processes with long memory, Fractional Brownian motion; Price impact; Trading; Transaction costs, Financial applications of other theories, price impact

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    influence
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Average
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