Data-driven estimation of diurnal patterns of durations between trades on financial markets

We propose a data-driven local linear estimator for diurnal patterns of transaction durations with a brief discussion on its asymptotics. The standardized durations are modeled by the EACD. Codes in R are developed for practical implementation. Application is illustrated by data examples.