Using transfer entropy to measure information flows between financial markets
We use transfer entropy to quantify information flows between financial mar- kets and propose a suitable bootstrap procedure for statistical inference. Trans- fer entropy is a model-free measure designed as the Kullback-Leibler distance of transition probabilities. Our approach allows to determine, measure and test for information transfer without being restricted to linear dynamics. In our empirical application, we examine the importance of the credit default swap market relative to the corporate bond market for the pricing of credit risk. We also analyze the dynamic relation between market risk and credit risk proxied by the VIX and the iTraxx Europe, respectively. We conduct the analyses for pre-crisis, crisis and post-crisis periods.
|Date of creation:||Aug 2012|
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- Roberto Blanco & Simon Brennan & Ian W. Marsh, 2005. "An Empirical Analysis of the Dynamic Relation between Investment-Grade Bonds and Credit Default Swaps," Journal of Finance, American Finance Association, vol. 60(5), pages 2255-2281, October.
- Virginie Coudert & Mathieu Gex, 2010.
"The Credit Default Swap Market and the Settlement of Large Defaults,"
CEPII research center, issue 123, pages 91-120.
- Virginie Coudert & Mathieu Gex, 2010. "The Credit Default Swap Market and the Settlement of Large Defaults," Working Papers 2010-17, CEPII research center.
- Pierre Collin-Dufresne, 2001. "The Determinants of Credit Spread Changes," Journal of Finance, American Finance Association, vol. 56(6), pages 2177-2207, December.
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