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Some asymptotic results about American options and volativity
Multi angle
Authors : De Marco, Stefano (Author of the conference)
CIRM (Publisher )
93E20 - Optimal stochastic control
91G60 - Numerical methods in mathematical finance
Additional resources :
http://www.lpma-paris.fr/pageperso/benezet/CEMRACS2017/DeMarco.pdf
CIRM (Publisher )
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Abstract :
The valuation of American options (a widespread type of financial contract) requires the numerical solution of an optimal stopping problem. Numerical methods for such problems have been widely investigated. Monte-Carlo methods are based on the implementation of dynamic programming principles coupled with regression techniques. In lower dimension, one can choose to tackle the related free boundary PDE with deterministic schemes.
Pricing of American options will therefore be inevitably heavier than the one of European options, which only requires the computation of a (linear) expectation. The calibration (fitting) of a stochastic model to market quotes for American options is therefore an a priori demanding task. Yet, often this cannot be avoided: on exchange markets one is typically provided only with market quotes for American options on single stocks (as opposed to large stock indexes - e.g. S&P500 - for which large amounts of liquid European options are typically available).
In this talk, we show how one can derive (approximate, but accurate enough) explicit formulas - therefore replacing other numerical methods, at least in a low-dimensional case - based on asymptotic calculus for diffusions.
More precisely: based on a suitable representation of the PDE free boundary, we derive an approximation of this boundary close to final time that refines the expansions known so far in the literature. Via the early premium formula, this allows to derive semi-closed expressions for the price of the American put/call. The final product is a calibration recipe of a Dupire's local volatility to American option data.
Based on joint work with Pierre Henry-Labordère.
MSC Codes : Pricing of American options will therefore be inevitably heavier than the one of European options, which only requires the computation of a (linear) expectation. The calibration (fitting) of a stochastic model to market quotes for American options is therefore an a priori demanding task. Yet, often this cannot be avoided: on exchange markets one is typically provided only with market quotes for American options on single stocks (as opposed to large stock indexes - e.g. S&P500 - for which large amounts of liquid European options are typically available).
In this talk, we show how one can derive (approximate, but accurate enough) explicit formulas - therefore replacing other numerical methods, at least in a low-dimensional case - based on asymptotic calculus for diffusions.
More precisely: based on a suitable representation of the PDE free boundary, we derive an approximation of this boundary close to final time that refines the expansions known so far in the literature. Via the early premium formula, this allows to derive semi-closed expressions for the price of the American put/call. The final product is a calibration recipe of a Dupire's local volatility to American option data.
Based on joint work with Pierre Henry-Labordère.
93E20 - Optimal stochastic control
91G60 - Numerical methods in mathematical finance
Additional resources :
http://www.lpma-paris.fr/pageperso/benezet/CEMRACS2017/DeMarco.pdf
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 03/08/17 Conference Date : 02/08/17 Subseries : Research talks arXiv category : Numerical Analysis ; Optimization and Control Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Control Theory & Optimization Format : MP4 (.mp4) - HD Video Time : 00:55:27 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2017-08-02_DeMarco.mp4 
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Information on the Event
Event Title : CEMRACS: Numerical methods for stochastic models: control, uncertainty quantification, mean-field / CEMRACS : Méthodes numériques pour équations stochastiques : contrôle, incertitude, champ moyenEvent Organizers : Bouchard, Bruno ; Chassagneux, Jean-François ; Delarue, François ; Gobet, Emmanuel ; Lelong, Jérôme Dates : 17/07/17 - 25/08/17 Event Year : 2017 Event URL : http://conferences.cirm-math.fr/1556.html
Citation Data
DOI : 10.24350/CIRM.V.19204603Cite this video as: De Marco, Stefano (2017). Some asymptotic results about American options and volativity. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19204603 URI : http://dx.doi.org/10.24350/CIRM.V.19204603 |
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Bibliography
- De Marco, S., & Henry-Labordere, P. (2016). Local volatility from American options. Preprint - https://ssrn.com/abstract=2870285
