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This paper proposes a latent dynamic factor model for low- as well as high-dimensional realized covariance matrices of stock returns. The approach is based on the matrix logarithm and allows for flexible dynamic dependence patterns by combining common latent factors driven by HAR dynamics and...
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the variation in the GDP in Canada. My findings suggest that TFP news shock is the key driver of GDP in the medium run and … it creates significant positive co-movements among the aggregate variables at business cycle frequencies. Demand shock … dominates in the short run, however, its hard to pin down the exact source of the shock. The findings are robust to alternative …
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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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