Path Dependent Optimal Transport and Model Calibration on Exotic Derivatives
Probability
2020-09-15 v4 Optimization and Control
Mathematical Finance
Abstract
In this paper, we introduce and develop the theory of semimartingale optimal transport in a path dependent setting. Instead of the classical constraints on marginal distributions, we consider a general framework of path dependent constraints. Duality results are established, representing the solution in terms of path dependent partial differential equations (PPDEs). Moreover, we provide a dimension reduction result based on the new notion of "semifiltrations", which identifies appropriate Markovian state variables based on the constraints and the cost function. Our technique is then applied to the exact calibration of volatility models to the prices of general path dependent derivatives.
Cite
@article{arxiv.1812.03526,
title = {Path Dependent Optimal Transport and Model Calibration on Exotic Derivatives},
author = {Ivan Guo and Gregoire Loeper},
journal= {arXiv preprint arXiv:1812.03526},
year = {2020}
}