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Hedging with Small Uncertainty Aversion

Sebastian Herrmann, Johannes Muhle-Karbe and Frank Thomas Seifried

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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.

Date: 2016-05
New Economics Papers: this item is included in nep-fmk and nep-rmg
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