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In the literature of identifcation through autoregressive conditional heteroscedasticity, Weber (2008) developed the structural constant conditional correlation (SCCC) model. Besides determining linear simultaneous in uences between several variables, this model considers interaction in the...
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Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons … given for caution about the use of DCC include the following: DCC represents the dynamic conditional covariances of the … standardized residuals, and hence does not yield dynamic conditional correlations; DCC is stated rather than derived; DCC has no …
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This note discusses some aspects of the paper by Hu and Tsay (2014), "Principal Volatility Component Analysis". The key issues are considered, and are also related to existing conditional covariance and correlation models. Some caveats are given about multivariate models of time-varying...
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