2020Journal of African BusinessRequires access

Leads and Lags in African Sovereign Credit Ratings

Marinda Pretorius, Ilsé Botha

Open publisher page 1 citations

Abstract

The majority of sovereign nations have a formal credit rating from more than one credit rating agency in order to bridge the potential informational gap that goes with only one formal rating. This study investigates the behavior of rating agencies to determine if the African sovereign ratings by the three major credit rating agencies are different and if their rating actions have any influence on each other. The lead–lag relationships between the agencies are investigated by making use of a method similar to the Granger causality test in an ordered probit pooled-data and individual country time-series setting. The monthly rating changes for the three agencies were used for 12 African countries from 2009 to 2018. The results show that when general rating changes are taken into account, Moody’s follows Fitch in more instances than Fitch follows Moody’s. Furthermore, when upgrade and downgrade actions are taken into account, Standard and Poor’s leads Fitch during all downgrade periods and in some periods after a rating upgrade. It is also shown that Fitch leads Moody’s during all downgrade periods and in some periods after a rating upgrade. In terms of individual country results, for 7 of the 12 countries, there is no evidence of herding or habit behavior between any of the rating pairs. Herding behavior was identified between different pairs of rating agencies for Angola, Egypt, Mozambique, South Africa, and Tunisia. Fitch exhibits habit behavior for Mozambique, whereas Standard and Poor’s shows contrarian habit behavior for that country.

About this research paper

What this paper is about

The majority of sovereign nations have a formal credit rating from more than one credit rating agency in order to bridge the potential informational gap that goes with only one formal rating. This study investigates the behavior of rating agencies to determine if the African sovereign ratings by the three major credit rating agencies are different and if their rating actions have any influence on each other. The lead–lag relationships between the agencies are investigated by making use of a method similar to the Granger causality test in an ordered probit pooled-data and individual country time-series setting. The monthly rating changes for the three agencies were used for 12 African countries from 2009 to 2018. The results show that when general rating changes are taken into account, Moody’s follows Fitch in more instances than Fitch follows Moody’s. Furthermore, when upgrade and downgrade actions are taken into account, Standard and Poor’s leads Fitch during all downgrade periods and in some periods after a rating upgrade. It is also shown that Fitch leads Moody’s during all downgrade periods and in some periods after a rating upgrade. In terms of individual country results, for 7 of the 12 countries, there is no evidence of herding or habit behavior between any of the rating pairs. Herding behavior was identified between different pairs of rating agencies for Angola, Egypt, Mozambique, South Africa, and Tunisia. Fitch exhibits habit behavior for Mozambique, whereas Standard and Poor’s shows contrarian habit behavior for that country.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The majority of sovereign nations have a formal credit rating from more than one credit rating agency in order to bridge the potential informational gap that goes with only one formal rating. This study investigates the behavior of rating agencies to determine if the African sovereign ratings by the three major credit rating agencies are different and if their rating actions have any influence on each other. The lead–lag relationships between the agencies are investigated by making use of a method similar to the Granger causality test in an ordered probit pooled-data and individual country time-series setting. The monthly rating changes for the three agencies were used for 12 African countries from 2009 to 2018. The results show that when general rating changes are taken into account, Moody’s follows Fitch in more instances than Fitch follows Moody’s. Furthermore, when upgrade and downgrade actions are taken into account, Standard and Poor’s leads Fitch during all downgrade periods and in some periods after a rating upgrade. It is also shown that Fitch leads Moody’s during all downgrade periods and in some periods after a rating upgrade. In terms of individual country results, for 7 of the 12 countries, there is no evidence of herding or habit behavior between any of the rating pairs. Herding behavior was identified between different pairs of rating agencies for Angola, Egypt, Mozambique, South Africa, and Tunisia. Fitch exhibits habit behavior for Mozambique, whereas Standard and Poor’s shows contrarian habit behavior for that country.

Key concepts: Downgrade, Credit rating, Sovereign credit, Bond credit rating, Economics, Order (exchange), Herding, Granger causality

Related papers

Back to paper searchBrowse research topicsOriginal source
Leads and Lags in African Sovereign Credit Ratings — Research Paper | ScholarLens