6533b856fe1ef96bd12b2850

RESEARCH PRODUCT

The Nexus between Sovereign CDS and Stock Market Volatility: New Evidence

Laura BallesterAna Mónica EscriváAna González-urteaga

subject

GARCHGeneral MathematicsAutoregressive conditional heteroskedasticitycds sovereign spread:CIENCIAS ECONÓMICAS [UNESCO]granger causalityGranger causalitygarch0502 economics and businessComputer Science (miscellaneous)EconomicsEconometricsQA1-939050207 economicsvarEngineering (miscellaneous)Stock (geology)050208 financeCDS sovereign spread05 social sciencesUnivariateUNESCO::CIENCIAS ECONÓMICASStock market indexconditional volatilityAutoregressive modelGranger causalityStock marketVARVolatility (finance)Mathematics

description

This paper extends the studies published to date by performing an analysis of the causal relationships between sovereign CDS spreads and the estimated conditional volatility of stock indices. This estimation is performed using a vector autoregressive model (VAR) and dynamically applying the Granger causality test. The conditional volatility of the stock market has been obtained through various univariate GARCH models. This methodology allows us to study the information transmissions, both unidirectional and bidirectional, that occur between CDS spreads and stock volatility between 2004 and 2020. We conclude that CDS spread returns cause (in the Granger sense) conditional stock volatility, mainly in Europe and during the sovereign debt crisis. This transmission dynamic breaks down during the COVID-19 period, where there are high bidirectional relationships between the two markets. The authors acknowledge the financial support from the Fundación Ramón Areces and PGC2018-095072-B-I00. In addition, Laura Ballester acknowledges the financial support from the Spanish Ministry of Science, Innovation, and Universities and the FEDER project, PGC2018-093645-B-I00, and Ana González-Urteaga acknowledges the financial support from the Ministry of Economics and Competitiveness through grant ECO2016-77631-R (AEI/FEDER.UE), from the Ministry of Science and Innovation through grant PID2019-104304GB-I00/AEI/10.13039/501100011033, and a UPNA Research Grant for Young Researchers, Edition 2018.

10.3390/math9111201https://www.mdpi.com/2227-7390/9/11/1201