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Finance and Stochastics
Article . 2016 . Peer-reviewed
License: Springer TDM
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Article . 2017
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Article . 2015 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
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Article . 2020
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Hedging with Small Uncertainty Aversion

Hedging with small uncertainty aversion
Authors: Sebastian Herrmann; Johannes Muhle-Karbe; Frank Thomas Seifried;

Hedging with Small Uncertainty Aversion

Abstract

We study the pricing and hedging of derivative securities with uncertainty about the volatility of the underlying asset. Rather than taking all models from a prespecified class equally seriously, we penalise less plausible ones based on their "distance" to a reference local volatility model. In the limit for small uncertainty aversion, this leads to explicit formulas for prices and hedging strategies in terms of the security's cash gamma.

48 pages; forthcoming in 'Finance and Stochastics'

Country
United Kingdom
Keywords

ambiguity aversion, Probability (math.PR), volatility uncertainty, option pricing and hedging, Mathematical Finance (q-fin.MF), FOS: Economics and business, Derivative securities (option pricing, hedging, etc.), asymptotics, Quantitative Finance - Mathematical Finance, Optimization and Control (math.OC), FOS: Mathematics, Optimal stochastic control, Utility theory, Mathematics - Optimization and Control, Mathematics - Probability

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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!
12
Top 10%
Average
Top 10%
Green
bronze
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