Extreme at-the-money skew in a local volatility model

2019 ◽  
Vol 23 (4) ◽  
pp. 827-859 ◽  
Author(s):  
Paolo Pigato
Wilmott ◽  
2016 ◽  
Vol 2016 (82) ◽  
pp. 78-87 ◽  
Author(s):  
Dingqiu Zhu ◽  
Dong Qu

2007 ◽  
Vol 44 (04) ◽  
pp. 865-879 ◽  
Author(s):  
Alexander Schied ◽  
Mitja Stadje

We consider the performance of the delta hedging strategy obtained from a local volatility model when using as input the physical prices instead of the model price process. This hedging strategy is called robust if it yields a superhedge as soon as the local volatility model overestimates the market volatility. We show that robustness holds for a standard Black-Scholes model whenever we hedge a path-dependent derivative with a convex payoff function. In a genuine local volatility model the situation is shown to be less stable: robustness can break down for many relevant convex payoffs including average-strike Asian options, lookback puts, floating-strike forward starts, and their aggregated cliquets. Furthermore, we prove that a sufficient condition for the robustness in every local volatility model is the directional convexity of the payoff function.


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