Control Variate Estimation

Computation

Control variate estimation serves as a variance reduction technique within Monte Carlo simulations, specifically employed to refine the pricing of complex cryptocurrency options and path-dependent derivatives. By integrating a known analytical property or a correlated asset instrument into the simulation, this methodology significantly minimizes the standard error of the estimate. Analysts leverage this approach to achieve higher convergence speeds when evaluating exotic structures where closed-form solutions are unavailable.