The variance implied conditional correlation
Andres Algaba (),
Kris Boudt and
The European Journal of Finance, 2020, vol. 26, issue 2-3, 200-222
We apply univariate GARCH models to construct a computationally simple filter for estimating the conditional correlation matrix of asset returns. The proposed Variance Implied Conditional Correlation (VICC) exploits the polarization result that links the correlation between two standardized variables with the variances of linear combinations thereof. In a Monte Carlo study, we show that the VICC yields accurate correlation estimates for common choices of the correlation dynamics. We also provide an empirical application to cross hedging that confirms the effectiveness of the VICC.
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Working Paper: The variance implied conditional correlation (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:taf:eurjfi:v:26:y:2020:i:2-3:p:200-222
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