Confidence intervals for empirical convergence rates of randomised quasi-Monte Carlo, with applications to option pricing

Empirical comparisons of quasi-Monte Carlo rules often report fitted convergence exponents without intervals. We estimate the root mean square error from independent randomisations, fit its log slope over a declared sample-size window, and resample whole randomisations to construct an interval. For