We propose a binomial lattice approach for valuing options whose payoff depends on multiple state variables following correlated geometric Brownian processes. The proposed approach relies on two main ideas: a transformation of the underlying processes as in the log-transformed binomial lattice approach by Trigeorgis (1991), and a change of basis of the asset span, to transform them into uncorrelated processes. These features improve the efficiency of the multi-dimensional binomial algorithm. We provide a thorough test of efficiency compared to most popular lattice approaches for multi-dimensional diffusions. Although the order of convergence is the same as in the other approaches the proposed approach shows improved efficiency
File in questo prodotto:
Non ci sono file associati a questo prodotto.