IDEAS home Printed from https://ideas.repec.org/a/alk/jefas0/v4y2022i2id3287.html

Predicting Countries Credit Ratings with Institutional Performance

Author

Listed:
  • Anas Moussaid Elidrissi

    (PhD Student, Hantos Elemér Doctoral School of Business, Management and Regional Sciences, University of Miskolc, Miskolc, Hungary.)

Abstract

In order to widen the vision and to visualize the impact of the institutions on not only economic growth as traditionally used but also on the Credit Ratings of countries, this experiment studies the correlation between these two attributes. In this paper, I show how we can find the relationship between the credit ratings of countries and the performance of their institutions. In this study, I used a data set of countries and indicators of their performance on institutional indicators, such as property rights, judicial effectiveness ...etc. And I conclude at the end that there is a strong correlation between an effective institution and a higher rating in credits report that is done by the major firms in this area. Also, I mention the limitation of this experiment in the matter of credibility.

Suggested Citation

Handle: RePEc:alk:jefas0:v:4:y:2022:i:2:id:3287
DOI: 10.32996/jefas.2022.4.2.21
as

Download full text from publisher

File URL: https://al-kindipublisher.com/index.php/jefas/article/view/3287
File Function: Abstract page
Download Restriction: no

File URL: https://al-kindipublisher.com/index.php/jefas/article/download/3287/2849
File Function: Full text
Download Restriction: no

File URL: https://libkey.io/10.32996/jefas.2022.4.2.21?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alk:jefas0:v:4:y:2022:i:2:id:3287. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jefas .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.