Open Access
October 2013 Random $G$-expectations
Marcel Nutz
Ann. Appl. Probab. 23(5): 1755-1777 (October 2013). DOI: 10.1214/12-AAP885

Abstract

We construct a time-consistent sublinear expectation in the setting of volatility uncertainty. This mapping extends Peng’s $G$-expectation by allowing the range of the volatility uncertainty to be stochastic. Our construction is purely probabilistic and based on an optimal control formulation with path-dependent control sets.

Citation

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Marcel Nutz. "Random $G$-expectations." Ann. Appl. Probab. 23 (5) 1755 - 1777, October 2013. https://doi.org/10.1214/12-AAP885

Information

Published: October 2013
First available in Project Euclid: 28 August 2013

zbMATH: 1273.93178
MathSciNet: MR3114916
Digital Object Identifier: 10.1214/12-AAP885

Subjects:
Primary: 91B30 , 93E20
Secondary: 60H30

Keywords: $g$-expectation , risk measure , stochastic domain , time-consistency , volatility uncertainty

Rights: Copyright © 2013 Institute of Mathematical Statistics

Vol.23 • No. 5 • October 2013
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