A computationally efficient state-space partitioning approach to pricing high-dimensional American options via dimension reduction ?
Pricing high-dimensional American-style options suffers the curse of dimensionality. Bundling based on option payoff converts high-dimensional cases to one-dimensional one. A state-space partitioning pricing algorithm is proposed based on the bundling method.
dimension reduction high dimensional american-style option stochastic dynamic programming