On the detection of chaotic dynamics in time series: an introduction

This paper considers various methods for detecting chaotic behaviour in time series. The possibility of chaotic behaviour is very important from a forecasting point of view. Chaotic behaviour makes anything except very short-term forecasting impossible because of sensitive dependence on initial conditions. We also demonstrate that some common non-linear time series models can exhibit chaotic behaviour.