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A1710
Title: A smooth transition approach to modelling diurnal variation in models of autoregressive conditional duration Authors:  Cristina Amado - University of Minho (Portugal) [presenting]
Timo Terasvirta - Aarhus University (Denmark)
Abstract: The aim is to introduce a new approach for adjusting the diurnal variation in the trade durations. The model considers that durations are multiplicatively decomposed into a deterministic time-of-day and a stochastic component. The parametric structure of the diurnal component allows the duration process to change smoothly over the time-of-day. In addition, a testing framework consisting of Lagrange multiplier tests is proposed for specifying the diurnal component. Our methodology is applied to the IBM transaction durations traded at the New York Stock Exchange.