cts-gimme doesn't always win. The discrete-time S-GIMME outperforms cts-gimme when clustering on large effect sizes (i.e., a lag-1 equivalent of ~0.60) combined with slow sampling rates due to its direct modeling of the shocks.
tl;dr: think more deeply about the time-scales of your processes.
