This study is designed to build a model which enables the categorization of factors that not only originates the concept of Sovereign Risk but also defines the variables that compound each factor. To fulfill such an objective, statistical methods known as Factor Analysis and Principal Component Analysis are employed. As result of this work, a model is presented that is simultaneously concise - given its small number of variables, in contrast to the large number of variables mentioned on the literature about this theme - and efficient - since it permits the creation of a Sovereign Risk Index that is compatible both with ratings of the major international agencies and with sovereign bond yields. In order to compare the countries ranking based on the Index to the rankings derived from ratings and bond yields, Spearman`s Ranking Correlation Coefficient is used.