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.

What Is a ‘Monte Carlo Simulation’ in Option Pricing?
Why Is Monte Carlo Simulation a Preferred Method for Path-Dependent Options?
How Does Monte Carlo Simulation Enhance Traditional Sensitivity Analysis?
What Is a Monte Carlo Simulation and How Is It Used in Finance?
How Are Exotic Options Priced?
How Does the ‘Greeks’ Calculation Become More Complex for Exotic Options?
How Does the Monte Carlo Simulation Method Aid in Crypto Derivatives Stress Testing?
How Is Potential Future Exposure (PFE) Calculated for an OTC Derivatives Portfolio?