A weakly-consistent estimator for dynamic correlation between a pair of correlated Brownian motions

Estimating dynamic correlation between a pair of time series is of importance in many applications. We present a new estimator for the dynamic correlation between a pair of correlated Brownian motions and show that, as the sample size increases, the estimator converges in probability to the underlying true dynamic correlation.