In this thesis, a reduced basis framework for the pricing of European and American options is developed. The underlying problems are described by parametrized time-dependent variational (in-)equalities. Corresponding reduced problem formulations are introduced, a posteriori error estimates are derived, and the construction of suitable reduced spaces is worked out. The efficiency of the resulting method is demonstrated in the context of calibrating to market data and by comparing it with existing methods used in practice.
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In this thesis, a reduced basis framework for the pricing of European and American options is developed. The underlying problems are described by parametrized time-dependent variational (in-)equalities. Corresponding reduced problem formulations are introduced, a posteriori error estimates are derived, and the construction of suitable reduced spaces is worked out. The efficiency of the resulting method is demonstrated in the context of calibrating to market data and by comparing it with existing...
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