Abstract

This paper investigates the determinants of the sovereign risk premium in African countries. We employ the dynamic fixed effects model to determine the key drivers of sovereign bond spreads. Country-specific effects are fixed and the inclusion of dummy variables using the Bai–Perron multiple structural break test is significant at a 5% level. For robustness, the time-series generalized method of moments (GMM) is used where the null hypothesis of the Sargan Test of over-identifying restrictions (OIR) and the Arellano–Bond Test of no autocorrelation are not rejected. This implies that the instruments used are valid and relevant. In addition, there is no autocorrelation in the error terms. Our results show that the exchange rate, Money supply/GDP (M2/GDP) ratio, and trade are insignificant. Furthermore, our findings indicate that public debt/GDP ratio, GDP growth, inflation rate, foreign exchange reserves, commodity price, and market sentiment are significant at a 5% and 10% level.

Highlights

  • This study investigates the determinants of sovereign risk premium in the selected African countries

  • Our results show that the exchange rate, Money supply/GDP (M2/GDP), and trade are insignificant in influencing the sovereign risk premium

  • This study investigates the key drivers of the sovereign risk premium in African countries

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Summary

Introduction

This study investigates the determinants of sovereign risk premium in the selected African countries. According to Tkalec et al (2014), the sovereign bond spread is the compensation to investors for default risk in case the realized welfare loss from default exceeds the expected welfare loss. Sovereign spreads are a proxy for the country risk premium which refers to the risk associated with the probability that a country will default on its debts. Olabisi and Stein (2015), note that developing economies are subjected to persistent macroeconomic instabilities, and have a higher sovereign risk premium than advanced economies. From the sovereign risk management perspective, it is, important for policymakers to control the key drivers that influence a country’s risk

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