Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods

In this study, we aim to provide a comprehensive analysis of the risk management potential of sectoral Credit Default Swaps (CDSs) within financial portfolios. Our objectives are threefold: (i) to investigate the safe haven properties of sectoral CDSs; (ii) to assess their hedging effectiveness and evaluate the diversification benefits of incorporating sectoral CDSs into both conventional and Islamic stock market portfolios; and (iii) to compare these findings with those obtained from alternative assets such as the VSTOXX, gold, and Bitcoin indices. To achieve this, we estimate time-varying hedge ratios using a range of multivariate GARCH (MGARCH) models and subsequently compute hedging effectiveness metrics. Conditional correlations derived from the Asymmetric Dynamic Conditional Correlation (ADCC) model are employed in linear regression analyses to assess safe haven characteristics. This methodology is applied across different subperiods to capture the impact of the crypto currency bubble and the COVID-19 pandemic on hedging performance.

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Publication Details

Journal
Risks
Published
2025-09-28
DOI
https://doi.org/10.3390/risks13100187
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
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article

Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods

Fredj Amine Dammak, Ahmed Ghorbel, Rania Zghal, Néjib Hachicha et al.
Risks
Market Dynamics and Volatility
article

Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods

Fredj Amine Dammak, Ahmed Ghorbel, Rania Zghal, Néjib Hachicha, Semia Souai
article en

Abstract

In this study, we aim to provide a comprehensive analysis of the risk management potential of sectoral Credit Default Swaps (CDSs) within financial portfolios. Our objectives are threefold: (i) to investigate the safe haven properties of sectoral CDSs; (ii) to assess their hedging effectiveness and evaluate the diversification benefits of incorporating sectoral CDSs into both conventional and Islamic stock market portfolios; and (iii) to compare these findings with those obtained from alternative assets such as the VSTOXX, gold, and Bitcoin indices. To achieve this, we estimate time-varying hedge ratios using a range of multivariate GARCH (MGARCH) models and subsequently compute hedging effectiveness metrics. Conditional correlations derived from the Asymmetric Dynamic Conditional Correlation (ADCC) model are employed in linear regression analyses to assess safe haven characteristics. This methodology is applied across different subperiods to capture the impact of the crypto currency bubble and the COVID-19 pandemic on hedging performance.

RisksVol. 13(10)
University of Sfax (TN), Université de Picardie Jules Verne (FR)
Openalex Percentile: Top 65%
Market Dynamics and Volatility
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