Why Is Monte Carlo Simulation a Preferred Method for Path-Dependent Options?

Monte Carlo simulation is preferred for path-dependent options because it can easily model the option's payoff, which depends on the underlying asset's price history (the path). It generates thousands of random price paths and averages the resulting payoffs to determine the option's value.

This is simpler than trying to solve complex multi-dimensional partial differential equations.