Timely detection of turning points: Should I use the seasonally adjusted or trend estimates?

Timely and accurate detection of turning points is an important issue in analysing time series data. Different time series estimates, such as the original estimates and the derived seasonally adjusted and trend-cycle estimates, are available to help assess turning points. This paper focuses on detection of turning points from time series estimates derived using a univariate approach. We investigate the difference between using seasonally adjusted and trend estimates for timely detection of time points