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What Is the Longstaff-Schwartz Method and How Does It Solve the American Option Problem?

The Longstaff-Schwartz method is a popular technique for pricing American options using Monte Carlo simulation. It solves the optimal stopping time problem by using least-squares regression to estimate the conditional expected value of continuing to hold the option at each point in time.

This allows the model to determine the optimal exercise decision along each simulated path.

How Does the ‘Greeks’ Calculation Become More Complex for Exotic Options?
How Does the Binomial Option Pricing Model Handle Early Exercise?
How Is the “Hedge Ratio” Calculated to Minimize Basis Risk?
How Does Monte Carlo Simulation Enhance Traditional Sensitivity Analysis?