Abstract
By employing the robust cross-correlation function approach proposed by Hong (2001), and conducting pre-tests for structural breaks in the variances as well as removing the causality-in-mean effects in the causality-in-variance tests, we investigate volatility and mean transmissions between the credit default swaps (CDS) indexes of three US financial sectors. We use daily series on five-year banking, insurance, and financial services sector CDS indexes at the sector level from January 2004 to December 2011. We find evidence of significant causality-in-mean effects running from the banking sector to the insurance and financial services sector CDS indexes and from the financial services to the insurance sector CDS indexes, suggesting the leading role of the banking and financial services sectors in terms of price discovery. Moreover, we find significant causality-in-variance effects from the financial services sector CDS index to that of the banking sector, implying the existence of information transmission and contagion from the former, the least regulated of the three. The implications of these findings on traders and policymakers are also provided.
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