This paper develops a family of autoregressive conditional duration (ACD) models that encompasses most specifications in the literature. The nesting relies on a Box-Cox transformation with shape parameter to the conditional duration process and a possibly asymmetric shocks impact curve.

This paper deals with the estimation and testing of conditional duration models by looking at the density and baseline hazard functions. More precisely, we focus on the distance between the aprametric density (or hazard rate) function implied by the duration process and its non-parametric estimate.

We revisit the role of time in measuring the price impact of trades using a new empirical method that combines spread decomposition and dynamic duration modeling. Previous studies which have addressed the issue in a vector-autoregressive framework conclude that times when markets are most active...