In this paper we propose a jump-diffusion Libor model with jumps in a high-dimensional space (m) and test a stable non-parametric calibration algorithm that takes into account a given local covariance structure. The algorithm returns smooth and simply structured Levy densities, and penalizes...

In this article we propose a novel approach to reduce the computational complexity of the dual method for pricing American options. We consider a sequence of martingales that converges to a given target martingale and decompose the original dual representation into a sum of representations that...

We present two approximation methods for the pricing of CMS spread options in Libor market models. Both approaches are based on approximating the underlying swap rates with lognormal processes under suitable measures. The first method is derived straightforwardly from the Libor market model. The...

This is an advanced guide to optimal stopping and control, focusing on advanced Monte Carlo simulation and its application to finance. Written for quantitative finance practitioners and researchers in academia, the book looks at the classical simulation based algorithms before introducing some...

<title>Abstract</title> In this paper we consider the valuation of Bermudan callable derivatives with multiple exercise rights. We present in this context a new primal--dual <italic>linear</italic> Monte Carlo algorithm that allows for efficient simulation of the lower and upper price bounds without using nested simulations...

Kolodko and Schoenmakers (2006) and Bender and Schoenmakers (2006) introduced a policy iteration that allows the achievement of a tight lower approximations of the price for early exercise options via a nested Monte Carlo simulation in a Markovian setting. In this paper we enhance the algorithm...