What Are the Limitations of Using Monte Carlo Simulation for Pricing American Options?

Monte Carlo simulation is generally efficient for pricing European options, but it is computationally intensive and complex for American options. This is because the optimal exercise decision must be determined at every possible time step along every simulated path, a problem known as finding the optimal stopping time.

Specialized techniques, like the Longstaff-Schwartz method, are required to address this complexity.