Monte Carlo forecasting from CIR square root diffusion models
نویسندگان
چکیده
We compare empirical convergence of Monte Carlo and quasi Monte Carlo estimates of the H-period forecasts using the Cox-Ingersoll-Ross square root diffusion model. The behaviour of the quasi Monte Carlo estimates in high dimensions (H = 250) using both Euler scheme and the Brownian bridge discretisation is analysed. We find that quasi Monte Carlo estimator displays much higher convergence rate compared to Monte Carlo regardless of the forecasting horizon (dimension) and discretisation method used. We show that for the Cox-Ingersoll-Ross square root diffusion model quasi Monte Carlo outperforms Monte Carlo without using the Brownian bridge technique even in high dimensions.
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