A Multiple Regression Model for Country Risk Assessment for European Countries
AbstractThis paper proposes a multiple regression model for country risk assessment using the main economic-financial and political variables starting from the existing major risk rating systems. It is based on data provided by international organizations such as the International Monetary Fund, the World Bank, the Eurostat, etc. as well as by previous research papers of a large interest among the experts in this field. The model offers a complementary instrument for quickly, promptly assessing the country ratings based on the most relevant characteristics employed by prestigious agencies such as Standard and Poor’s, Moody’s, the Institutional Investor, etc. The model results are consistent with the ratings provided by these agencies, confirming its usefulness for country risk research.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Ovidius University of Constantza, Faculty of Economic Sciences in its journal Ovidius University Annals, Economic Sciences Series.
Volume (Year): XI (2011)
Issue (Month): 1 (May)
Contact details of provider:
Web page: http://www.univ-ovidius.ro/facultatea-de-stiinte-economice
More information through EDIRC
country risk ratings; economic risk; financial risk; political risk; non-recursive regression model;
Find related papers by JEL classification:
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jeflea Victor).
If references are entirely missing, you can add them using this form.