Our models are designed in close collaboration with the client's needs.
Depending on the nature of the analysis, we gather data from a variety of sources and from surveys that we craft. If necessary, we use specialist databases.
We carefully construct bottom up models that balance accuracy and complexity.
We rely on proven econometric and multivariate techniques for our understanding of the relationships in the data and for estimates of primary and deep parameters.
We build upon our library of non-linear
feedback system maps to custom create
architecture that approximates the processes
we are studying.
We use proven Monte-Carlo techniques to derive risk metrics for our forecasted variables.