 Investigating the Dependence Structure between Credit Default Swap Spreads and the U.S. Financial MarketPost-Print from HAL Abstract: Under Basel II framework, credit risk assessment is of high significance in the light of correlation risk. Correlation risk is often envisioned along with business conditions and financial market's impact.We employ copula methodology to identify the dependence structures that may exist between market risk fundamentals and credit risk fundamentals. Considering credit derivative spreads as credit risk fundamentals and market data asmarket risk determinants, we describe and quantify the asymmetric link prevailing between credit risk and market risk. Credit risk is negatively linked with market price risk whereas it becomes positively linked with market volatility risk. Such patterns give rise to interesting asymmetric dependence structures between both risk sources. We are then able to balance reliably market price risk with market volatility feedback, the market trend supporting a common correlation between securities. In the light of the previous trade-off, we propose also a simple credit risk management rule. Keywords: Archimedean copulas; Concordance measures; Credit risk; Market risk; Risk management; Tail dependence (search for similar items in EconPapers) Published in Annals of Finance, 2010, Vol. 6, pp. 511-535. ⟨10.1007/s10436-009-0139-5⟩ There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00565525 DOI: 10.1007/s10436-009-0139-5 Access Statistics for this paper More papers in Post-Print from HAL |
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