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Dynamics of CDS spread indexes of US financial sectors

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  • Shawkat Hammoudeh
  • Mohan Nandha
  • Yuan Yuan

Abstract

This article examines the Credit Default Swap (CDS) spread index for three sectors, banking, financial services and insurance, in the short and long run. In the long run, the results show that the index of the insurance sector which sells the long term CDS contracts has the highest adjustment, while the banking sector is not error correcting. In the short run, although the insurance sector CDS spread index has general predictive power of all sector CDS spreads, the evidence suggests that the banking sector particularly leads the financial services and this in turn leads the insurance sector, implying a leading sector CDS pricing role for the banking spreads in the short run. The short run sensitivity Generalized Impulse Response Function (GIRF) and Generalized Variance Decomposition (GVDC) analyses also demonstrate that the sectors’ credit risk responds more to credit events in the banking sector than in the other two sectors other than their own over a 50 day horizon. However, the lowest cross sector CDS shock impacts in the short run come from the insurance sector. These results are useful for regulators wishing to embark on new regulations of these financial institutions such as Basel III.

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  • Shawkat Hammoudeh & Mohan Nandha & Yuan Yuan, 2013. "Dynamics of CDS spread indexes of US financial sectors," Applied Economics, Taylor & Francis Journals, vol. 45(2), pages 213-223, January.
    • Handle: RePEc:taf:applec:45:y:2013:i:2:p:213-223
    DOI: 10.1080/00036846.2011.597727
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    Cited by:

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    3. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2017. "Directional and bidirectional causality between U.S. industry credit and stock markets and their determinants," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 46-61.
    4. Shahzad, Syed Jawad Hussain & Naifar, Nader & Hammoudeh, Shawkat & Roubaud, David, 2017. "Directional predictability from oil market uncertainty to sovereign credit spreads of oil-exporting countries: Evidence from rolling windows and crossquantilogram analysis," Energy Economics, Elsevier, vol. 68(C), pages 327-339.
    5. Düll, Robert & König, Felix & Ohls, Jana, 2017. "On the exposure of insurance companies to sovereign risk—Portfolio investments and market forces," Journal of Financial Stability, Elsevier, vol. 31(C), pages 93-106.
    6. Düll, Robert & König, Felix & Ohls, Jana, 2017. "On the exposure of insurance companies to sovereign risk − portfolio investments and market forces 1," LSE Research Online Documents on Economics 83195, London School of Economics and Political Science, LSE Library.
    7. Aloui, Chaker & Hammoudeh, Shawkat & Hamida, Hela ben, 2015. "Global factors driving structural changes in the co-movement between sharia stocks and sukuk in the Gulf Cooperation Council countries," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 311-329.
    8. Alfonso Novales & Alvaro Chamizo, 2019. "Splitting Credit Risk into Systemic, Sectorial and Idiosyncratic Components," JRFM, MDPI, vol. 12(3), pages 1-33, August.
    9. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Spillovers among CDS indexes in the US financial sector," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 104-113.
    10. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "The conditional dependence structure of insurance sector credit default swap indices," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 122-132.
    11. Tamakoshi, Go & Hamori, Shigeyuki, 2016. "Time-varying co-movements and volatility spillovers among financial sector CDS indexes in the UK," Research in International Business and Finance, Elsevier, vol. 36(C), pages 288-296.

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