OpenEconomics aims to be an essential component of the global football market, providing credit ratings, research, tools and analysis that contribute to a transparent and integrated market.
OpenEconomics is the owner of, a digital platform which provides ratings, economic evaluations, research and other economic analysis of players and teams.

OpenEconomics is a spin-off of the Economy Faculty of the University of Rome Tor Vergata. The company supports public administrations and private companies in the evaluation of policies, programs and investment projects through the application of sophisticated economic methodologies.

The company integrates scientific and economic expertise with a thorough understanding of the institutional mechanisms and business processes. The scientific team, led by Professor Pasquale Lucio Scandizzo, has extensive knowledge in managing complex projects and a long experience as advisor of the World Bank, FAO, UNIDO, IFAD and national governments.

New trends and growing uncertainty in economy impose a more careful assessment of opportunities and risks related to investments through a rigorous evaluation about assumptions of sustainability and financial viability.
OpenEconomics answers to such growing need, in a framework of greater transparency and objectivity, developing and applying advanced methodologies for the assessment of the impacts of economical choice and policies.


OpenEconomics can count on a team of managers with extensive experience in managing complex projects and on a multidisciplinary network of experts active in multiple business areas in Europe, Americas and Africa.

  • Professor of Economic and Financial Policy at the Faculty of Economics, University of Rome "Tor Vergata" and consultant to the World Bank Economic Policy. Pasquale is the Chairman and the scientific director of OpenEconomics, Chairman of Green Finance Services LLC, Managing Director of Real Options International LLC and Board member of the Foundation CEIS Economics, University of Rome "Tor Vergata".

  • Is a talented economist specialized in economic development and international cooperation. Dino is an expert in evaluation methodologies with an extensive knowledge in economic analysis thank to his long experience a consultant for the World Bank, IFAD and governments.

  • Experienced manager with a specific expertise in financial and economic evaluation of complex projects involving investments supported with public funds. Raffaele is the CEO of OpenEconomics.

  • Engineer specialized in institutional, legislative, regulatory and financial process. Gianluca has significant experience as a project manager for important Italian companies and international organizations.


For its analysis, OpenEconomics uses proprietary economic models (mathematical, environmental and technological) based on the most advanced methodologies.

Financial Analysis

Evaluations of financial investments focused on economic agents to prevailing market conditions. Analysis of the economic feasibility of the projects through: (1) estimation of the gains and losses of the stakeholders involved, (2) the evaluation of costs and social benefits, (3) the assessment of the dynamic uncertainty and the opportunities and risks connected with it, through the application of real options method.

Social and economic impact assessment

Analysis of the impact that a policy or project generates on the local community, through the evaluation of the direct and indirect effects, both tangible and intangible, related to the market economy, the institutions, the environment and cultural activities, in terms of view of a plurality of public and private stakeholders.

Green assessment evaluation

Analysis of the contribution of one or more public or private institutions to improve the environment, the reduction of pollutant emissions and the sustainability of economic development, through a combination of multi-criteria analysis and impact assessments.

Economic evaluation of human capital

Analysis of human capital, in terms of its intangible characteristics, context-dependent and embedded in individuals. Economic evaluation of the potential, the skills and abilities of the members of a public or private organization. Performance evaluation and individual outcomes, corporate and institutional.



Long-term dynamic model allowing quantitative evaluation on the exchange relations and interdependence that established between all the agents of an economic system. It is used to assess how the impact of investments and current expenditure flows can affect some important economic variables such as production, employment, tax revenues, national and regional sectors, exports, imports, income distribution and prices.


Costs / Benefits analysis model extended to the Real Options. The model allows to extend the financial evaluation to economic indicators, including the estimate of shadow prices and indirect economic and social impacts, the extended economic net present value (VANES), the extended economic internal rate of return (TRIES), the benefit / cost ratio (B / C), the financial net present value (FNPV / C), the financial rate of return (FRR / C), the level of financial sustainability of the project (Funding gap).


It is a model used to evaluate the impact of an operating entity on the economic and social framework described in terms of five basic components: inputs, activities / processes, outputs and outcomes. The model is based on a mix of econometric tools and computational modeling.


It is a multicriteria evaluation model of the green features of a single projects or a portfolio of projects. The model covers six areas of investigation: Selection and Use of Proceeds, Reputational, Local and Environmental Risks, Borrowers Capacity to Carry Out Projects, Program / Project Definition and Execution, Program / Project Technology / Complexity, Evaluation and Reporting Assurance. The model returns a result in terms of score (performance) and by rating indicator for each area of investigation.


It is a model that subjects the main variables used in economic evaluations to accurate computational stress according to the Monte Carlo methodology and Bootstrapping.