2018
DOI: 10.1002/ijfe.1673
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A simple mathematical programming model for countries' credit ranking problem

Abstract: This study proposes a new mathematical model that ranks the countries according to their investments. The proposed model compares countries based on specified factors and gives a score for each country. To set out the factors, after investigating on quite a lot of related studies, several macroeconomic factors are gathered, and the most important ones are selected for further investigation. An important advantage of the proposed model is that it can be solved manually by managers, investors, or researchers wit… Show more

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Cited by 7 publications
(3 citation statements)
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References 37 publications
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“…In order to compare the obtained rankings of Tables 3 and 4, the Jaccard similarity index (normalJSI$$ \mathrm{JSI} $$) 9 is used. The value of normalJSI$$ \mathrm{JSI} $$ is less than or equal to 1.…”
Section: Computational Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to compare the obtained rankings of Tables 3 and 4, the Jaccard similarity index (normalJSI$$ \mathrm{JSI} $$) 9 is used. The value of normalJSI$$ \mathrm{JSI} $$ is less than or equal to 1.…”
Section: Computational Resultsmentioning
confidence: 99%
“…Furthermore, gender, IQ of the people, and export rate also have been introduced as some recent drivers of financial development by Hafer, 6 Zins and Weill, 7 and Mlachila and Ouedraogo 8 . The study of Niroomand et al 9 proposes a simple mathematical programming model for countries' credit ranking problem using some financial development based indicators. In the results of this study, more developed countries obtained better ranking.…”
Section: Introductionmentioning
confidence: 99%
“…The obtained importance weight values and associated ranking in each scenario are represented by Table 8. Here, the obtained rankings can be compared using the Jaccard similarity index (JSI) (see Niroomand et al, 2019). Thus, for any pair of the rankings a JSI value which is between 0 (indicating no similarity) and 1 (indicating full similarity) is obtained.…”
Section: Sensitivity Analysismentioning
confidence: 99%