Our Methods

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.

Examples

• FutureMetrics has assisted in the financial modeling and detailed risk analysis of large wood pellet manufacturing/exporting facilities in the Maine, New Hampshire, and Vermont areas.
   
• Dr. William Strauss has partnered with Maine Energy Systems and brings FutureMetrics' library of financial and economic analysis to this exciting Maine renewable energy company.
   
• FutureMetrics has provided key economic forecasting for the Washington D.C. based Biomass Thermal Energy Council .
   
• FutureMetrics provides information on corporate pension funds including  unique analysis, custom databases, and PLAaN, an online pension plan data and analysis application.  Our clients include corporate boards, leading pension consultants, investment bankers, and hedge funds.
   

Pension Products

FutureMetrics maintains an extensive database on corporate defined benefit plans.  Our database contains accounting data and analysis information on the 1000 largest corporate plans (currently that includes all plans with plan assets greater than about $25 million). 

Our unique investing returns estimations for corporate pension plans provide insights into the strengths and weaknesses of individual corporate pension asset investing strategies.