The Slice analysis cuts a time series into several pieces to compare different periods of time on a graph. For instance, to compare GDP recovery after each recession period you would use this functionality.
is the first setting that you should specify. You have 3 main options to slice the series:
Set to year/quarter/month
this setting cuts series into calendar periods. The time series will therefore be sliced on a yearly/quarterly/monthly basis, meaning that one series per period will be produced. You can then specify the calculation range, which refers to the time horizon on which you want to slice the series.
This setting slices time series for specific ranges of observations that you set manually.
Custom points in time
Series will be cut into several periods that are defined by:
- a referenced "point in time"
- the length, that is specified in terms of number of observations
- the relation between the length set and the referenced point in time: after / around / before.
Rebase with base value
hen selected, this setting will rebase all series produced at their starting point with chosen base value, typically 100.
In this example, we look at average monthly performance of S&P Index since 1928.
In this example, we chose to have 3 sliced series starting respectively in 1929-09-01, 1987-09-01 and 2008-08-15, with a length of 2500 observations after these dates. Here, we used the S&P 500, and comparing it after the 3 main financial crises. The sliced series are rebased to 100 to facilitate the comparison.
Here, we listed the periods between US recessions. We ticked the rebase option to ensure sliced series are comparable: they all will start at 100. This way we will see how jobless claims evolved after each recession period.