Model Guide

This section explains how the Impact Model works, including the simulation process, portfolio optimisation, and result analysis methods.

How sampled multipliers and characteristics become expected values, and how later-year modifiers are applied

How the model adds extra uncertainty when model coverage is below 100%, and how noise correlations are specified

How the model represents the value of holding money for unknown future funding opportunities

How the model identifies the most important sources of uncertainty

How optimum portfolios are generated