The Relationship Between Volatility and Sovereign Credit Risk in the Emerging Markets: A Nonlinear ARDL Approach

Abstract

This study investigates the short- and long-run nexus between the volatility index of VIX and sovereign credit risk represented by CDS spread in emerging markets, namely Turkey, China, Russia, Brazil, and Mexico. The emerging markets are at the center of investors’ interest due to high return opportunities. The relationship between volatility and sovereign credit risk has been studied many times via linear models. However, financial series exhibit asymmetric dynamics, as volatility clustering, excess kurtosis, and others. Thus, we use nonlinear autoregressive distributed lags (NARDL) analysis to capture nonlinear relations between the volatility and the sovereign credit risks of these countries by using daily data from 04.01.2010 to 29.11.2019. The bounds test of the NARDL model confirms the cointegration between VIX and CDS spreads of the countries under study. The analysis of estimated NARDL parameters shows that negative shocks of the volatility index have a long-lasting impact on CDS spreads. Chinese CDS spread are more sensitive to VIX index changes in the short run. The effect of a decrease in volatility on Russian CDS spread is higher than the effect of an increase. Turkish and Brazilian CDS spreads are more reactive to increase in the VIX, whereas Mexican CDS is less sensitive. These findings show that investors, arbitrageurs and speculators should consider global indicators when taking a position on sovereign bonds of emerging markets.

Keywords

• Volatility
• Credit Default Swap
• Asymmetry
• NARDL

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