This page contains video tutorials on PIPMA functionality and is a good source for self-onboarding onto the platform. The Summary section contains a 30-minute video that provides an overview of PIPMA's complete functionality. The section Individual Sections provides a tutorial specific to each functionality.
A summary tutorial to the PIPMA workflow. This video tutorial guides the user through an overview of the platform's functionality though it is by no means exhaustive. The platform contains detailed functionality and features that our users gradually discover as they become more familiar with the technology. This tutorial is a very good starting point for a new user.
Converting raw values to z-scores is useful for several reasons. Firstly, z-scores allow us to compare scores from different distributions because raw scores may be measured on different scales, that makes it difficult to compare them. By converting raw scores to z-scores, we can standardize the scores and compare them on a common scale.
The scale of raw factor values of equity risk factors varies in magitnude. Therefore, standardising the raw factor values by convering them to z-scores is a mechanism to objectively compare a portfolio's exposures to a wide spectrum of equity risk factors.