Abstract
In this paper we study factor-based subordinated Levy processes in their VG and NIG specications, and focus on their ability to price multivariate exotic derivatives. Dierent model specications, calibrated to a dataset of multivariate Barrier Reverse Convertibles listed at the Swiss market, show diverse ability in capturing smile patterns and recovering empirical correlations. We show how the range of the correlation spanned by the model is linked to the process marginal distributions. Our analysis nds that there exists a tradeo between marginal and correlation fit. A sensitivity analysis is performed, showing how the product's characteristics and the model's features aect Multi Barrier Reverse Convertible prices. Market and model prices are analyzed, highlighting and explaining discrepancies
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