For the complete documentation index, see llms.txt. This page is also available as Markdown.

Classify Scenarios

Determine criteria to partition the data for initializing weak, normal, and robust scenarios.

Initializing prospective scenarios in Scenario Lab

To help you get started with defining a finite set of prospective scenarios, the Classify Scenarios screen allows you to initialize a Weak, Normal, and Robust scenario by

  1. Specifying a reference economic variable to partition market environments.

  2. Specifying the directional economic favorability of the variable. (e.g. low GNP year-on-year changes are a weak indicator, while high unemployment values are a weak indicator)

  3. Determining the cutoffs from the weak, normal, and robust ranges.

Scenario Lab automatically helps you initialize default upper and lower thresholds for a selected reference economic variable to the 25th25^{\text{th}} and 75th75^{\text{th}} percentiles of its empirical distribution.

The weak, normal, and robust scenario estimates are calculated by the conditional means of the sub-samples as defined by you.

Last updated