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Ranking is based on a novel technique which, unlike previous techniques, has the following unique
features:

     • Objectivity: No manipulation of weights.

The weighting is a resolutely clear objective since it emanates from the content information of the
variables themselves and their internal dynamics. This last feature of the model is a major step forward
and is a major improvement over current method in terms of ranking / aggregation.

     • Specificity: A specific equation calculates each individual indicator
     • Decision support: allows for the running of simulations and then proposes to decision
         makers’ plans of action and optimal sequence of reforms.

Early user uptake of CFAR-m has focused on data relating to multilateral organizations rankings of
countries by the aggregate level of governance, institutional quality, poverty and human development.
The novelty of this approach and the relevance of the results have quickly attracted experts in the
fields of governance and anti-corruption. With the World Bank Institute we have immediately run a
diagnostic programme for the governance of Algeria in 2007. CFAR-m has been used in many
research projects to build new composite indicators and integrate them into econometric models
applied to the particular problems of governance and macroeconomic development of the financial
system.

Other typical ranking based applications CFAR-m can be used for is a unique tool for sensitivity
analysis, the selection of relevant variables, the study of the interaction between the variables and their
effects over time. These characteristics allow CFAR-m to engage in a whole realm of research and
study into the modeling and simulation of complex phenomena.

There are many fields of applications for CFAR-m such as:

     • Economics
     • Social Issues
     • Finance
     • Capital markets
     • Insurance
     • Medical
     • Pharmaceutical
     • Geo-strategic
     • Aerospace
     • Ecology
     • Research
     • Marketing, etc...


                                          www.cfar-m.com

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CFAR-m Unique Selling Proposition (USP)

  • 1. Ranking is based on a novel technique which, unlike previous techniques, has the following unique features: • Objectivity: No manipulation of weights. The weighting is a resolutely clear objective since it emanates from the content information of the variables themselves and their internal dynamics. This last feature of the model is a major step forward and is a major improvement over current method in terms of ranking / aggregation. • Specificity: A specific equation calculates each individual indicator • Decision support: allows for the running of simulations and then proposes to decision makers’ plans of action and optimal sequence of reforms. Early user uptake of CFAR-m has focused on data relating to multilateral organizations rankings of countries by the aggregate level of governance, institutional quality, poverty and human development. The novelty of this approach and the relevance of the results have quickly attracted experts in the fields of governance and anti-corruption. With the World Bank Institute we have immediately run a diagnostic programme for the governance of Algeria in 2007. CFAR-m has been used in many research projects to build new composite indicators and integrate them into econometric models applied to the particular problems of governance and macroeconomic development of the financial system. Other typical ranking based applications CFAR-m can be used for is a unique tool for sensitivity analysis, the selection of relevant variables, the study of the interaction between the variables and their effects over time. These characteristics allow CFAR-m to engage in a whole realm of research and study into the modeling and simulation of complex phenomena. There are many fields of applications for CFAR-m such as: • Economics • Social Issues • Finance • Capital markets • Insurance • Medical • Pharmaceutical • Geo-strategic • Aerospace • Ecology • Research • Marketing, etc... www.cfar-m.com