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The interconnections between U.S. financial CDS spreads and control variables: New evidence using partial and multivariate wavelet coherences
Journal article   Peer reviewed

The interconnections between U.S. financial CDS spreads and control variables: New evidence using partial and multivariate wavelet coherences

Besma Hkiri, Shawkat Hammoudeh, Chaker Aloui and Muhammad Shahbaz
International review of economics & finance, v 57, pp 237-257
Sep 2018
DOI: https://doi.org/10.1016/j.iref.2018.01.011
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

CDS spreads Maximum overlap discrete wavelet transform Multiple wavelet Partial wavelet Wavelet coherence
We examine the connectedness of the sector CDS spreads for U.S. banks, financial services firms and insurers with major global factors including the US stock market volatility, Libor, Treasury bill rates and oil prices to gauge credit risk exposure. Our main objective is to gain insight into the co-movement between those CDSs and WTI and the other control variables, which reflect the health of the economy. The partial wavelet and the multi-wavelet coherence are applied to the available CDS data. The findings show strong evidence of partial wavelet coherence at the medium and low frequencies (time horizons) between the three sector CDS, and that there is a strong short-term co-movements between the CDS spreads and their control variables at high frequencies (short horizons). The multivariate wavelet analysis shows that the three CDS spreads are generally highly correlated over time and frequency bands. In addition, we uncover some differences between the co-movements of the three CDSs with each other and in their relationships with the control variables through time and frequency. Furthermore, the strength of the partial and multiple wavelet co-movements varies through time and frequency and does not subside after the Great Recession ended and during the ensuing slow recovery that started in the second half of 2009. These results are useful for forecasting sector CDS spreads and establishing their interrelationship with global US financial and oil markets’ factors. •We examine the co-movement between financial sector CDSs and oil and financial variables.•The partial wavelet and the multi-wavelet coherence are performed.•Strength of wavelets varies through time and frequency and does not subside after Great Recession.•We show evidence of strong co-movements between CDS and control variables at high frequencies.•The CDSs are highly correlated over time and frequency bands.

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17 Record Views
40 citations in Web of Science
43 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#8 Decent Work and Economic Growth

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Business, Finance
Economics
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