Model Guide
This section explains how the Research Strategy model works, including the simulation process, portfolio optimization, and result analysis methods.
Expected Value Computation
How sampled multipliers and organization characteristics become expected values, and how later-year modifiers are applied
Noise And Model Coverage
How the model adds extra uncertainty when model coverage is below 100%, and how noise correlations are specified
Value of Holding Money
How the model represents the value of holding money for unknown future funding opportunities
Information Value
How the model identifies the most important sources of uncertainty
Portfolio Optimization
How optimum portfolios are generated