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allow these to differ from the correlation processes (namely, DCC-type models) are more beneficial than the models that …
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We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data … correlation matrices and exogenous factors. The Fisher-z transformation guarantees robustness of correlation estimators under … prominent parametric and nonparametric alternatives to correlation modeling. Based on economic performance criteria, we …
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dynamic conditional correlation model (DCC) to multivariate elliptical copulas. The most suitable dynamic dependence model in …
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This paper disentangles the added value of using high-frequency-based (realized) covariance measures on multivariate volatility forecasting into two pillars: the realized variances and realized correlations and quantifies the corresponding economic gains using a broad set of portfolio...
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