A New Approach on Country Risk Monitoring
Abstract
:1. Introduction
1.1. Different Approaches of the Sovereign Debt Crises in Research
1.2. Sustainability of National Debt
1.3. Stock and Flow Method of National Debt Rating
2. A Framework of Studying Sovereign Debt
- We show that consupmption-based models have to be abandoned, because they imply a sensitivity of the related calculations.
- We show that the use of GNP as a way of Sovereign Debt Scaling may imply that a state is well-evaluated, while it may be near a National Debt Crisis,
- We propose an index of Sovereign Debt Evaluation which relies on the Surplus of the State,
- We calculate this index for the European Union Countries inside the period of its own countries’ National Debt Crisis, before Brexit and inside the period of the global finance crisis. This is the time-period 2005–2015.
- We imply that this kind of evaluation is related to the State’s Tax policy and its use is not a number which shows that ‘everything goes well’.
3. Instability of the Use of GNP in the Flow and the Stock Method
4. Some Further Quotes Against the Use of GNP in Public Debt Rating
5. Towards a New Way of ND Rating?
6. Some Policy Implications
- Increase private tax factor , under a promise to decrease it in the future,
- Do not increase , since this action may decrease investments’ spot value .
- should remain constant for some time-periods.
7. Caclulation of the -Index in European Union Countries and Related Remarks
- (i)
- The Tables’ values indicate the countries having the greater country risk exposure: Greece, Italy, Spain, Ireland, Cyrpus, Portugal, Belgium (which was also a candidate for a public debt crash).
- (ii)
- Another country having a high level of country risk exposure according to this indicator, is Great Britain.
- (iii)
- Germany’s country risk exposure according to this indicator, is not negligible.
- (iv)
- The values of the variables involved in the above calculations rely on their spot values.
- (v)
- The values of the table which are relatively lower, such as Bulgaria or Estonia may be related to the lower inter-temporal net rates of investment. The lower value of does not imply that these countries are out of a possible debt crisis.
- (vi)
- A case which is related to the above remark is the case of Greece. The values of in the above table are relatively high. However, Greece’s net investements are not high in these years.
- (vii)
- The values of the index in the case of United Kingdom between the years 2005–2015 are high. This fact may be discussed further, related to ’Brexit’.
8. Conclusions
8.1. Summary and Directions
8.2. Future Work
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
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2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | |
Belgium | 1.93 | 1.89 | 1.80 | 1.88 | 2.04 | 2.02 | 2.03 | 2.35 | 2.00 | 2.05 | 2.06 |
Bulgaria | 0.70 | 0.59 | 0.42 | 0.33 | 0.39 | 0.46 | 0.48 | 0.49 | 0.45 | 0.73 | 0.67 |
Czech Rep. | 0.72 | 0.72 | 0.71 | 0.75 | 0.89 | 0.99 | 0.98 | 1.09 | 1.08 | 0.97 | 0.97 |
Denmark | 0.67 | 0.57 | 0.50 | 0.62 | 0.75 | 0.79 | 0.85 | 0.83 | 0.82 | 0.79 | 0.76 |
Germany | 1.57 | 1.55 | 1.48 | 1.50 | 1.64 | 1.88 | 1.80 | 1.80 | 1.74 | 1.68 | 1.59 |
Estonia | 0.13 | 0.12 | 0.10 | 0.12 | 0.16 | 0.16 | 0.15 | 0.25 | 0.25 | 0.27 | 0.25 |
Ireland | 0.75 | 0.64 | 0.66 | 1.21 | 1.85 | 2.60 | 3.29 | 3.54 | 3.50 | 3.09 | 2.85 |
Greece | 2.73 | 2.64 | 2.55 | 2.69 | 3.26 | 3.53 | 3.91 | 3.43 | 3.61 | 3.83 | 3.67 |
Spain | 1.07 | 0.96 | 0.87 | 1.07 | 1.51 | 1.66 | 1.91 | 2.28 | 2.47 | 2.58 | 2.59 |
France | 1.35 | 1.28 | 1.29 | 1.36 | 1.59 | 1.64 | 1.68 | 1.72 | 1.74 | 1.79 | 1.81 |
Croatia | 0.99 | 0.93 | 0.89 | 0.94 | 1.18 | 1.41 | 1.59 | 1.69 | 1.93 | 2.00 | 1.92 |
Italy | 2.37 | 2.33 | 2.20 | 2.27 | 2.45 | 2.53 | 2.54 | 2.58 | 2.68 | 2.75 | 2.77 |
Cyprus | 1.70 | 1.57 | 1.32 | 1.14 | 1.47 | 1.51 | 1.79 | 2.20 | 2.80 | 2.70 | 2.74 |
Latvia | 0.34 | 0.28 | 0.25 | 0.56 | 1.06 | 1.31 | 1.20 | 1.13 | 1.08 | 1.13 | 1.01 |
Lithuania | 0.52 | 0.50 | 0.46 | 0.42 | 0.78 | 1.02 | 1.11 | 1.20 | 1.17 | 1.19 | 1.22 |
Luxemburg | 0.17 | 0.19 | 0.18 | 0.35 | 0.35 | 0.45 | 0.43 | 0.49 | 0.53 | 0.52 | 0.52 |
Hungary | 1.45 | 1.53 | 1.46 | 1.59 | 1.69 | 1.79 | 1.82 | 1.69 | 1.64 | 1.61 | 1.54 |
Malta | 1.77 | 1.62 | 1.60 | 1.63 | 1.76 | 1.78 | 1.80 | 1.73 | 1.74 | 1.70 | 1.60 |
Netherlands | 1.17 | 1.04 | 1.00 | 1.25 | 1.33 | 1.37 | 1.44 | 1.54 | 1.54 | 1.55 | 1.50 |
Austria | 1.40 | 1.40 | 1.35 | 1.41 | 1.63 | 1.70 | 1.70 | 1.67 | 1.63 | 1.69 | 1.69 |
Poland | 1.15 | 1.14 | 1.07 | 1.14 | 1.31 | 1.38 | 1.38 | 1.37 | 1.44 | 1.29 | 1.31 |
Portugal | 1.66 | 1.69 | 1.65 | 1.72 | 2.07 | 2.37 | 2.61 | 2.94 | 2.86 | 2.92 | 2.93 |
Romania | 0.49 | 0.37 | 0.36 | 0.40 | 0.74 | 0.91 | 1.01 | 1.11 | 1.13 | 1.18 | 1.08 |
Slovenia | 0.60 | 0.60 | 0.54 | 0.52 | 0.82 | 0.88 | 1.07 | 1.21 | 1.57 | 1.81 | 1.84 |
Slovakia | 0.92 | 0.88 | 0.87 | 0.82 | 1.00 | 1.18 | 1.19 | 1.44 | 1.41 | 1.36 | 1.22 |
Sweden | 0.77 | 0.73 | 0.66 | 0.62 | 0.80 | 0.90 | 0.90 | 1.00 | 1.02 | 1.10 | 1.17 |
Finland | 0.90 | 0.82 | 0.74 | 0.71 | 0.79 | 0.75 | 0.74 | 0.74 | 0.79 | 0.90 | 0.87 |
UK | 1.04 | 1.07 | 1.09 | 1.26 | 1.70 | 1.97 | 2.10 | 2.23 | 2.20 | 2.31 | 2.31 |
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Kountzakis, C.E.; Floros, C. A New Approach on Country Risk Monitoring. Risks 2025, 13, 80. https://doi.org/10.3390/risks13050080
Kountzakis CE, Floros C. A New Approach on Country Risk Monitoring. Risks. 2025; 13(5):80. https://doi.org/10.3390/risks13050080
Chicago/Turabian StyleKountzakis, Christos E., and Christos Floros. 2025. "A New Approach on Country Risk Monitoring" Risks 13, no. 5: 80. https://doi.org/10.3390/risks13050080
APA StyleKountzakis, C. E., & Floros, C. (2025). A New Approach on Country Risk Monitoring. Risks, 13(5), 80. https://doi.org/10.3390/risks13050080