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A sovereign risk index for the Eurozone based on stochastic dominance

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  • Agliardi, Elettra
  • Pinar, Mehmet
  • Stengos, Thanasis

Abstract

We propose a new method to assess sovereign risk in Eurozone countries using an approach that relies on consistent tests for stochastic dominance efficiency. The test statistics and the estimators are computed using mixed integer programming methods. Our analysis is based on macroeconomic fundamentals and their importance in accounting for sovereign risk. The results suggest that net international investment position/GDP and public debt/GDP are the main contributors to country risk in the Eurozone. We also conduct ranking analysis of countries for fiscal and external trade risk. We find a positive correlation between our rankings of the most vulnerable countries and the S&P’s ratings, whereas the correlation for other countries is weaker.

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  • Agliardi, Elettra & Pinar, Mehmet & Stengos, Thanasis, 2014. "A sovereign risk index for the Eurozone based on stochastic dominance," Finance Research Letters, Elsevier, vol. 11(4), pages 375-384.
    • Handle: RePEc:eee:finlet:v:11:y:2014:i:4:p:375-384
    DOI: 10.1016/j.frl.2014.07.002
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    Cited by:

    1. Ben Hmiden, Oussama & Ben Cheikh, Nidhaleddine, 2016. "Debt-threshold effect in sovereign credit ratings: New evidence from nonlinear panel smooth transition models," Finance Research Letters, Elsevier, vol. 19(C), pages 273-278.
    2. Athari, Seyed Alireza & Kondoz, Mehmet & Kirikkaleli, Dervis, 2021. "Dependency between sovereign credit ratings and economic risk: Insight from Balkan countries," Journal of Economics and Business, Elsevier, vol. 116(C).
    3. Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2022. "Stochastic dominance spanning and augmenting the human development index with institutional quality," Annals of Operations Research, Springer, vol. 315(1), pages 341-369, August.
    4. Ben Hmiden, Oussama & Tatoutchoup, Didier & Nguimkeu, Pierre & Avelé, Donatien, 2024. "Discrepancy and cross-regional bias in sovereign credit ratings: Analyzing the role of public debt," Economic Modelling, Elsevier, vol. 131(C).
    5. Tahsin Mehdi, 2019. "Stochastic Dominance Approach to Measuring Child Development," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 12(5), pages 1567-1588, October.
    6. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    7. Tahsin Mehdi, 2019. "Stochastic Dominance Approach to OECD’s Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 917-954, June.
    8. Giovanni Bernardo & Irene Brunetti & Mehmet Pinar & Thanasis Stengos, 2021. "Measuring the presence of organized crime across Italian provinces: a sensitivity analysis," European Journal of Law and Economics, Springer, vol. 51(1), pages 31-95, February.

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    More about this item

    Keywords

    Sovereign risk; Eurozone; Nonparametric stochastic dominance;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G01 - Financial Economics - - General - - - Financial Crises

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