Before a financing request, the answer of the financial organization is going to depend on which is the result of the calculation of the probability of non-payment of the loan. This calculation will be based essentially on the characteristics of the applicant, the project to fund and the economic situation.
In a context of height of the new technologies and growth of the disintermediation new actors and new forms arise in the financial world to make the things. These new actors are the socially responsible investors, whom they look for to obtain a social yield of his investments. Also initiatives with social and/or environmental impact that can offer that social yield to the socially responsible investors and in addition, to the set emerge from the society.
The measures of economic yield well are known and enough are standardized. Nevertheless, to the measures of social yield they have left a long way to cross. In this sense, the things are not so simple to value the financing requests. We are speaking of ethical banks, cooperative of financial services or organizations of microfinances. These organizations need to count on tools that help them to the decision making before the financing requests which they have a social character.
A possible approach is to include so much the social aspects as the financiers in the evaluation. Scoring put in practice by socially responsible institutions would have to incorporate not only its social sensitivity as investor but also the social impact of the project to fund. Not only that, but also to include the analysis of the credit behavior of the financing applicant and their financial health.
The most complex part of the development of scoring social is to quantify the social impact. In order to value the social impact of an investment in the use, the education, equal opportunity, the health, the environment and the community the Social Return of Inversi³n can be calculated (SROI). This measurement is particularly useful for scoring social, since it transforms the social objectives into economic measurements. For example, if a project looks for the creation of use for passers-by, a measurement could be the saving in the cost of attention to the group.
An additional and crucial aspect in the design of a system of scoring for socially responsible investors, is the incorporation of the know-how (its knowledge to do, its history), as well as the mission of the investor. The know-how can, for example, reflect the previous experience of the investor with the financing applicant, important aspect at the time of granting or rejecting a loan. The mission would be reflected in the decisional system, so that an organization centered in the financial inclusion of underprivileged groups will have different priorities that an organization that fights against the climate change.
A mathematical algorithm based on Proceso Analtico Jer¡rquico (AHP) reflects the preferences of the socially responsible investor and it weighs them with the qualifications obtained by a financing request. In this way one obtains a balanced scorecard that reflect the strengths and weaknesses of the project, as well as a final qualification that can serve to grant or to deny the loan.
Source: El Peri³dico