asymptotically valid for serially independent observations. Yet, in the presence of serial correlation they are markedly oversized as … confirmed in a simulation study. We summarize serial correlation robust test procedures and propose a bootstrap approach. By … relevance to account for serial correlation in economic time series when testing for the value of directional forecasts …

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 …

estimator. We propose forecasting covariance matrices using a multi-scale spectral decomposition where volatilities, correlation …

dynamic conditional correlation model (DCC) to multivariate elliptical copulas. The most suitable dynamic dependence model in …