Abstract
We study the principal component analysis (PCA) based approach introduced by Reisinger and Wittum [Efficient hierarchical approximation of high-dimensional option pricing problems, SIAM J. Sci. Comp. 29 (2007), pp. 440–458] for the approximation of Bermudan basket option values via partial differential equations (PDEs). This highly efficient approximation approach requires the solution of only a limited number of low-dimensional PDEs complemented with optimal exercise conditions. It is demonstrated by ample numerical experiments that a common discretization of the pertinent PDE problems yields a second-order convergence behaviour in space and time, which is as desired. It is also found that this behaviour can be somewhat irregular, and insight into this phenomenon is obtained.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Notes
1 This is to be distinguished from the von Neumann stability analysis that is relevant only to normal matrices.