Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

On the use of a multicriteria hierarchical discrimination approach for country risk assessment

Zopounidis Konstantinos, Doumpos, Michael

Simple record


URIhttp://purl.tuc.gr/dl/dias/B76F861C-4E5E-43C3-A902-07B28EF09D3B-
Identifierhttps://doi.org/10.1002/mcda.335-
Languageen-
Extent11 pagesen
TitleOn the use of a multicriteria hierarchical discrimination approach for country risk assessmenten
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
CreatorDoumpos, Michaelen
PublisherJohn Wiley and Sonsen
Content SummaryCountry risk is an issue with multidimensional implications in economic and social development at the national, regional and global levels. The assessment of country risk is often realized as a classification problem, involving the assignment of the countries into predefined groups according to their economic prospects. Within this framework, this study employs the MHDIS multi-criteria decision aid method (Multi-group Hierarchical DIScrimination) for developing country risk assessment models. The data used in the analysis involve a set of 161 countries obtained from the World Bank. An extensive comparison is also performed with other well-known parametric and non-parametric classification methods.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-27-
Date of Publication2002-
SubjectCapability, Financial (Financial literacy)en
SubjectFinancial capability (Financial literacy)en
SubjectLiteracy, Financialen
Subjectfinancial literacyen
Subjectcapability financial financial literacyen
Subjectfinancial capability financial literacyen
Subjectliteracy financialen
Bibliographic CitationM. Doumpos, C. Zopounidis ," On the use of a multicriteria hierarchical discrimination approach for country risk assessment, " J. of Multi-crit. Decision Anal. , vol. 11, nos 4-5,pp. 279-289,Oct. 2002.doi:10.1002/mcda.335en

Services

Statistics