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In this study, we investigate a sequential procedure for the early detection of parameter changes in conditionally heteroscedastic time series models. We introduce the detectors based on the cumulative sum of score vectors and residuals for this procedure. The asymptotic properties of the...
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autoregressive conditional heteroscedasticity. Since this approach assumes that the structural innovations are uncorrelated, any … constant conditional correlation (SCCC). In this, common driving forces can be modelled in addition to simultaneous …
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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 influences between several … transmission effects. In this context, the present paper extends the analysis to structural dynamic conditional correlation (SDCC …
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that characterize long-term correlation patterns. We associate such term behavior with low frequency economic variables … improves the empirical fit of equity correlations in the US and correlation forecasts at long horizons. -- Factor models ; Low … frequency volatilities and correlations ; Dynamic conditional correlation ; Spline-GARCH ; Idiosyncratic volatility ; Long …
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