
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'
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
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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