NONPARAMETRIC MODEL CALIBRATION FOR DERIVATIVES

Frédéric Abergel, Rémy Tachet des Combes, Riadh Zaatour

Journal of Mathematical Finance(2017)

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摘要
Consistently fitting vanilla option surfaces is an important issue in derivative modelling. In this paper, we consider three different models: local and stochastic volatility, local correlation, hybrid local volatility with stochastic rates, and address their exact, nonparametric calibration. This calibration process requires solving a nonlinear partial integro-differential equation. A modified alternating direction implicit algorithm is used, and its theoretical and numerical analysis is performed.
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