Assessing reinforcement delta hedging

2021 ◽  
Author(s):  
Hirbod Assa ◽  
Chris Kenyon ◽  
Haodong Zhang
Keyword(s):  
2009 ◽  
Vol 15 (2) ◽  
pp. 93-100 ◽  
Author(s):  
Charles A Stone ◽  
Anne Zissu

2011 ◽  
Vol 32 (3) ◽  
pp. 203-229 ◽  
Author(s):  
Carol Alexander ◽  
Alexander Rubinov ◽  
Markus Kalepky ◽  
Stamatis Leontsinis
Keyword(s):  

Author(s):  
Juliusz Jablecki ◽  
Ryszard Kokoszczynski ◽  
Pawel Sakowski ◽  
Robert Slepaczuk ◽  
Piotr Wojcik
Keyword(s):  

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.


1997 ◽  
Vol 21 (8-9) ◽  
pp. 1353-1376 ◽  
Author(s):  
Les Clewlow ◽  
Stewart Hodges

2010 ◽  
Vol 6 (4) ◽  
pp. 139-154
Author(s):  
Satyendra Kumar Sharma ◽  
Arun Kumar Vaish ◽  
Rajan Pandey ◽  
Charu Gupta
Keyword(s):  

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