Log Transformation

Procedure

Used when the variance of a time series increases with the level of the series.

1. Apply the natural logarithm to the data: $Y_t=\ln (Z_t)$.
2. This stabilizes the variance (making it constant) if the standard deviation is proportional to the mean.
3. Model the transformed series $Y_t$ (often followed by differencing).