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Dynamic conditional angular correlation
Journal of Econometrics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jarjour, Riad, Chan, Kung-Sik
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Spurious Dynamic Conditional Correlation
SSRN Electronic Journal, 2012Autoregressive-type multivariate GARCH (MGARCH) models have been widely adopted by scholars to measure time-varying correlation structures. It is a well-known stylized fact that conditional correlations generated by these models tend to exhibit a highly unstable and erratic behavior under certain conditions.
Roland Füss, Thorsten W. Glück
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Dynamic Conditional Correlation: On Properties and Estimation [PDF]
We address some issues that arise with the Dynamic Conditional Correlation (DCC) model. We prove that the DCC large system estimator (DCC estimator) can be inconsistent, and that the traditional interpretation of the DCC correlation parameters can lead to misleading conclusions.
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Variance clustering improved dynamic conditional correlation MGARCH estimators [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gian Piero Aielli, CAPORIN, MASSIMILIANO
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Dynamic Conditional Correlation
Journal of Business & Economic Statistics, 2002Time varying correlations are often estimated with multivariate generalized autoregressive conditional heteroskedasticity (GARCH) models that are linear in squares and cross products of the data. A new class of multivariate models called dynamic conditional correlation models is proposed.
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Resurrecting the Conditional CAPM with Dynamic Conditional Correlations
SSRN Electronic Journal, 2010This paper provides a time-series and cross-sectional investigation of the conditional and unconditional capital asset pricing model (CAPM). The unconditional CAPM fails, but the conditional CAPM with dynamic conditional correlations (DCC) succeeds in generating a significantly positive risk-return tradeoff.
Turan G. Bali, Robert F. Engle
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