Robust fundamental theorem for continuous processes

Biagini, S., Bouchard, B., Kardaras, C.ORCID logo & Nutz, M. (2017). Robust fundamental theorem for continuous processes. Mathematical Finance, 27(4), 963-987. https://doi.org/10.1111/mafi.12110
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We study a continuous-time financial market with continuous price processes under model uncertainty, modeled via a family inline image of possible physical measures. A robust notion inline image of no-arbitrage of the first kind is introduced; it postulates that a nonnegative, nonvanishing claim cannot be superhedged for free by using simple trading strategies. Our first main result is a version of the fundamental theorem of asset pricing: inline image holds if and only if every inline image admits a martingale measure that is equivalent up to a certain lifetime. The second main result provides the existence of optimal superhedging strategies for general contingent claims and a representation of the superhedging price in terms of martingale measures.

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