Numerical methods for stochastic control problems in continuous time
Numerical methods for stochastic control problems in continuous time
An improved simulation method for pricing high-dimensional American derivatives
Mathematics and Computers in Simulation - Special issue: 3rd IMACS seminar on Monte Carlo methods - MCM 2001
An irregular grid method for high-dimensional free-boundary problems in finance
Future Generation Computer Systems - Special issue: Selected numerical algorithms
Pricing American Options: A Duality Approach
Operations Research
Regression methods for pricing complex American-style options
IEEE Transactions on Neural Networks
Hi-index | 7.29 |
We propose and test a new method for pricing American options in a high-dimensional setting. The method is centered around the approximation of the associated complementarity problem on an irregular grid. We approximate the partial differential operator on this grid by appealing to the SDE representation of the underlying process and computing the root of the transition probability matrix of an approximating Markov chain. Experimental results in five-dimensions are presented for four different payoff functions.