IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-48454-9_35.html
   My bibliography  Save this book chapter

The Procyclicality of African Sovereign Credit Ratings

In: Advances in Applied Economic Research

Author

Listed:
  • Marinda Pretorius

    (University of Johannesburg)

  • Ilsé Botha

    (University of Johannesburg)

Abstract

Credit rating agencies are supposed to have a long-term outlook when assigning credit ratings to sovereign states. It is unwarranted to assign high (low) ratings to sovereigns that are experiencing momentary successes (impediments). Ratings should therefore be assigned without taking the business cycle into account. If the business cycle is taken into account in the process of rating assignments, ratings are assigned procyclically. This paper empirically investigates the behaviour of rating agencies when assigning sovereign ratings for African countries. It makes use of ordered probit models which control for macroeconomic factors to determine if Standard and Poor’s, Fitch, Moody’s and a South African based research entity, NKC African Economics take the business cycle into account in their rating processes. The results show that three of the four agencies act in a procyclical manner to a certain extent when assigning ratings to African countries.

Suggested Citation

  • Marinda Pretorius & Ilsé Botha, 2017. "The Procyclicality of African Sovereign Credit Ratings," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Applied Economic Research, chapter 0, pages 537-547, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-48454-9_35
    DOI: 10.1007/978-3-319-48454-9_35
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Credit rating; Africa;

    JEL classification:

    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    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:spr:prbchp:978-3-319-48454-9_35. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.