Hautsch, Nikolaus; Kyj, Lada M.; Malec, Peter - Center for Financial Studies - 2011
This paper addresses the open debate about the usefulness of high-frequency (HF) data in large-scale portfolio allocation. Daily covariances are estimated based on HF data of the S&P 500 universe employing a blocked realized kernel estimator. We propose forecasting covariance matrices using a...