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Mathematical Finance and Probability Seminars

Hedging with Uncertainty-Averse Preferences

Tuesday, February 28, 2017 at 11:45am - 12:45pm

Sebastian Herrmann, University of Michigan:  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 penalize 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. If the reference model is a Black-Scholes model which is dynamically recalibrated to the market price of a liquidly traded vanilla option, delta-vega hedging is asymptotically optimal. The corresponding indifference price corrections are then determined by the disparity between the vegas, gammas, vannas, and volgas of the non-traded and the liquidly traded options.




This talk is based on joint works with Johannes Muhle-Karbe (University of Michigan) and Frank Seifried (University of Trier).
Location   Hill 705

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HillCenter

Mathematical Finance Master's Program

Department of Mathematics, Hill 348
Hill Center for Mathematical Sciences
Rutgers, The State University of New Jersey
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Piscataway, NJ 08854-8019

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