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Showing posts from October, 2014

Problem needed for research on Bermudan Option Pricing Algorithms

Introduction NAG together with Prof. Oosterlee and an MSc student from TU Delft are investigating the recent Stochastic Grid Bundling Method (SGBM) [1,2]. The objective is to compare the performance of SGBM to the well-known Longstaff-Schwartz (least squares method or LSM) in a non-academic setting, i.e. on the pricing of a Bermudan option, with underlying asset(s) driven by a realistic process such as Heston or LMM. We are looking for an interesting case to test these two methods. This includes the type of option, the underlying processes and any other important features or details.

Outline The well known LSM by Longstaff-Schwartz[3] is the industry standard for pricing multi-dimensional Bermudan options by simulation and regression. LSM is based on the regression now principle, whereas the Stochastic Grid Bundling Method (SGBM) by Jain and Oosterlee applies regression later in order to get more accurate approximations. However, this limits us to apply SGBM to processes where an an…