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Asymmetric convergence in US financial credit default swap sector index markets

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  • Chen, Li-Hsueh
  • Hammoudeh, Shawkat
  • Yuan, Yuan

Abstract

This study examines the asymmetric adjustments to the long-run equilibrium for credit default swap (CDS) sector indexes of three financial sectors – banking, financial services and insurance – in the presence of a threshold effect. The results of the momentum-threshold autoregression (M-TAR) models demonstrate that asymmetric cointegration exists for all pairs comprised of those three CDS indexes. The speeds of adjustment in the long-run are much higher in the case of adjustments from below the threshold than from above for all the pairs. The estimates of The MTAR-VEC models suggest that the dual CDS index return in each sector pair participates in the adjustment to equilibrium in the short- and long-run taken together. But in the long-run alone, only one of the two spreads in each pair participates. Policy implications are also provided.

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Bibliographic Info

Article provided by Elsevier in its journal The Quarterly Review of Economics and Finance.

Volume (Year): 51 (2011)
Issue (Month): 4 ()
Pages: 408-418

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Handle: RePEc:eee:quaeco:v:51:y:2011:i:4:p:408-418

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Web page: http://www.elsevier.com/locate/inca/620167

Related research

Keywords: Credit default swaps; Threshold; Asymmetric adjustment; Widenings; Narrowings;

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References

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  1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
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  3. William R. Emmons & Frank A. Schmid, 2004. "Monetary policy actions and the incentive to invest," Working Papers 2004-018, Federal Reserve Bank of St. Louis.
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  7. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer, vol. 29(3), pages 211-235, June.
  8. Fathi Abid & Nader Naifar, 2006. "Credit-default swap rates and equity volatility: a nonlinear relationship," Journal of Risk Finance, Emerald Group Publishing, vol. 7(4), pages 348-371, August.
  9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  10. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.
  11. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2005. "Explaining credit default swap spreads with the equity volatility and jump risks of individual firms," Finance and Economics Discussion Series 2005-63, Board of Governors of the Federal Reserve System (U.S.).
  12. Enders, Walter & Granger, C. W. J., 1998. "Unit Root Tests and Asymmetric Adjustment with an Example Using the Term Structure of Interest Rates," Staff General Research Papers 1388, Iowa State University, Department of Economics.
  13. Norden, Lars & Weber, Martin, 2004. "Informational Efficiency of Credit Default Swap and Stock Markets: The Impact of Credit Rating Announcements," CEPR Discussion Papers 4250, C.E.P.R. Discussion Papers.
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Cited by:
  1. 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.

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