The options available depend on the frequency of the input data. A daily dataset offers rolling-window transforms; a monthly one offers seasonal adjustment and sum-last-12-months; a yearly one offers neither. Every frequency includes Original Variable, which keeps the untransformed column alongside the transformed ones.
EMBI Global Diversified Subindices - 30d_change. The original column is kept, so you can apply several transformations to the same variable and compare them side by side.
Daily data
Daily data
Monthly data
Monthly data
Quarterly data
Quarterly data
Yearly data
Yearly data
For seasonal adjustment with control over the underlying model — including trend and irregular components — use the X13 ARIMA Seasonal Adjustment step rather than the prebuilt Seasonally adjusted transformation.
Next steps
Calculate variable
Write custom formulas when a prebuilt transform doesn’t fit.
Change frequency
Resample first to unlock frequency-specific transforms.