This thesis undertakes an investigation into time series at high frequency. The three main channels of information in high frequency data - irregular time intervals (durations), prices and volumes - are all explored and modelled to improve current understanding, while accounting for the long memory property, a crucial stylised fact found in the literature. In doing so, we make use of the theory of point processes, econometric techniques such as Whittle estimation and Kalman Filter...