Development of countries’ creditworthiness rating assessment system

The paper presents a countries’ creditworthiness assessment system involving the advanced mathematical models, such as discriminant analysis, cluster analysis, multiple regression, non-linear models and neural network model. On the system development process the following economic figures were used: GDP per capita, GDP value, annual growth rate of GDP, FDI - foreign investment, rate of unemployment, consumer price inflation index, the size of government debt in percentage of GDP. Obtained models and results were united and programmed. As a result we developed the new Russian system of countries’ creditworthiness assessment “Country2016”.