Different Measures of Country Risk: An Application to European Countries

Country Risk (CR) is a relevant instrument to analyze and understand economic performances and relationships between different countries in the actual economic and political international globalized context. The present work develops indexes for the European Union countries by applying three differe...

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Main Authors: Guido Bonatti, Andrea Ciacci, Enrico Ivaldi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Risk and Financial Management
Subjects:
Online Access:https://www.mdpi.com/1911-8074/14/1/19
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spelling doaj-f5216b97e2904cd0855b33789b801e6e2021-01-05T00:00:54ZengMDPI AGJournal of Risk and Financial Management1911-80661911-80742021-01-0114191910.3390/jrfm14010019Different Measures of Country Risk: An Application to European CountriesGuido Bonatti0Andrea Ciacci1Enrico Ivaldi2School of Economics and Finance, Queen Mary University of London, London E1 4NS, UKDepartment of Economics—DIEC, University of Genoa, 16126 Genoa, ItalyCentro de Investigaciones en Econometría—CIE, University of Buenos Aires, Buenos Aires C1113 CABA, ArgentinaCountry Risk (CR) is a relevant instrument to analyze and understand economic performances and relationships between different countries in the actual economic and political international globalized context. The present work develops indexes for the European Union countries by applying three different methods in the field of formative approach. Our aim is to show how robust CR measurements can be developed by operational and easily computable methods. We identify a set of significant variables included in the reference literature. Then, we propose three simple aggregative processes in order to obtain CR measures, at a precise time and over time. As a result, if we compare the outcomes, similar CR rankings emerge. In other words, there are no relevant differences in results also due to different methods of applications. The findings demonstrate that the choice of the aggregation method depends on the willingness of the researcher to baste the analysis with or without weighing and, therefore, on the semantic content that is assigned to the entire research structure. Each analysis should follow a disinterested theoretical–methodological consistency, knowing that the choice of a particular indexing process in the field of aggregation does not significantly alter the nature of the results compared to what would result by applying a different method.https://www.mdpi.com/1911-8074/14/1/19country riskformative approachadditive indexes
collection DOAJ
language English
format Article
sources DOAJ
author Guido Bonatti
Andrea Ciacci
Enrico Ivaldi
spellingShingle Guido Bonatti
Andrea Ciacci
Enrico Ivaldi
Different Measures of Country Risk: An Application to European Countries
Journal of Risk and Financial Management
country risk
formative approach
additive indexes
author_facet Guido Bonatti
Andrea Ciacci
Enrico Ivaldi
author_sort Guido Bonatti
title Different Measures of Country Risk: An Application to European Countries
title_short Different Measures of Country Risk: An Application to European Countries
title_full Different Measures of Country Risk: An Application to European Countries
title_fullStr Different Measures of Country Risk: An Application to European Countries
title_full_unstemmed Different Measures of Country Risk: An Application to European Countries
title_sort different measures of country risk: an application to european countries
publisher MDPI AG
series Journal of Risk and Financial Management
issn 1911-8066
1911-8074
publishDate 2021-01-01
description Country Risk (CR) is a relevant instrument to analyze and understand economic performances and relationships between different countries in the actual economic and political international globalized context. The present work develops indexes for the European Union countries by applying three different methods in the field of formative approach. Our aim is to show how robust CR measurements can be developed by operational and easily computable methods. We identify a set of significant variables included in the reference literature. Then, we propose three simple aggregative processes in order to obtain CR measures, at a precise time and over time. As a result, if we compare the outcomes, similar CR rankings emerge. In other words, there are no relevant differences in results also due to different methods of applications. The findings demonstrate that the choice of the aggregation method depends on the willingness of the researcher to baste the analysis with or without weighing and, therefore, on the semantic content that is assigned to the entire research structure. Each analysis should follow a disinterested theoretical–methodological consistency, knowing that the choice of a particular indexing process in the field of aggregation does not significantly alter the nature of the results compared to what would result by applying a different method.
topic country risk
formative approach
additive indexes
url https://www.mdpi.com/1911-8074/14/1/19
work_keys_str_mv AT guidobonatti differentmeasuresofcountryriskanapplicationtoeuropeancountries
AT andreaciacci differentmeasuresofcountryriskanapplicationtoeuropeancountries
AT enricoivaldi differentmeasuresofcountryriskanapplicationtoeuropeancountries
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