Model uncertainty and its impact on the pricing of derivative instruments

Rama Cont ()
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Rama Cont: CMAP - Centre de Mathématiques Appliquées de l'Ecole polytechnique - Inria - Institut National de Recherche en Informatique et en Automatique - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique

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Abstract: Model uncertainty, in the context of derivative pricing, can be defined as the uncertainty on the value of a contingent claim resulting from the lack of precise knowledge of the pricing model to be used for its valuation. We introduce here a quantitative framework for defining model uncertainty in option pricing models. After discussing some properties which a quantitative measure of model uncertainty should verify in order to be useful and relevant in the context of risk measurement and management, we propose a method for measuring model uncertainty which verifies these properties and yields numbers which are comparable to other risk measures and compatible with observations of market prices of a set of benchmark derivatives. We illustrate the difference between model uncertainty and the more common notion of "market risk" through examples. Finally, we illustrate the connection between our proposed measure of model uncertainty and the recent literature on coherent and convex risk measures.

Keywords: decision under ambiguity; uncertainty; option pricing; risk measures; mathematical finance (search for similar items in EconPapers)
Date: 2006
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00002695v1
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Citations: View citations in EconPapers (132)

Published in Mathematical Finance, 2006, 16 (3), pp.519 - 547. ⟨10.1111/j.1467-9965.2006.00281.x⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00002695

DOI: 10.1111/j.1467-9965.2006.00281.x

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