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Portfolio optimisation beyond semimartingales: shadow prices and fractional Brownian motion

Czichowsky, Christoph and Schachermayer, Walter (2016) Portfolio optimisation beyond semimartingales: shadow prices and fractional Brownian motion. The Annals of Applied Probability . ISSN 1050-5164 (In Press)

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Abstract

While absence of arbitrage in frictionlessfinancial markets requires price processes to be semimartingales, non-semimartingales can be used to model prices in an arbitrage-free way, if proportional transaction costs are taken into account. In this paper, we show, for a class of price processes which are not necessarily semimartingales, the existence of an optimal trading strategy for utility maximisation under transaction costs by establishing the existence of a so-called shadow price. This is a semimartingale price process, taking values in the bid ask spread, such that frictionless trading for that price process leads to the same optimal strategy and utility as the original problem under transaction costs. Our results combine arguments from convex duality with the stickiness condition introduced by P. Guasoni. They apply in particular to exponential utility and geometric fractional Brownian motion. In this case, the shadow price is an It^o process. As a consequence we obtain a rather surprising result on the pathwise behaviour of fractional Brownian motion: the trajectories may touch an It^o process in a one-sided manner without reflection.

Item Type: Article
Official URL: http://projecteuclid.org/info/euclid.aoap
Additional Information: © 2016 Institute of Mathematical Statistics  
Library of Congress subject classification: H Social Sciences > HG Finance
Q Science > QA Mathematics
Journal of Economic Literature Classification System: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods and Programming > C61 - Optimization Techniques; Programming Models; Dynamic Analysis
G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice; Investment Decisions
Sets: Departments > Mathematics
Collections > Economists Online
Project and Funder Information:
Project IDFunder NameFunder ID
PBEZP2 137313Swiss National Science Foundationhttp://dx.doi.org/10.13039/501100001711
FA506041European Research Councilhttp://dx.doi.org/10.13039/501100000781
MA09-003Vienna Science and Technology Fundhttp://dx.doi.org/10.13039/501100001821
P25815Austrian Science Fundhttp://dx.doi.org/10.13039/501100002428
Date Deposited: 12 Sep 2016 09:42
URL: http://eprints.lse.ac.uk/67689/

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