This paper analyses multivariate high frequency financial data using realised covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis and covariance. It will be based on a fixed interval of time (e.g. a day or week), allowing the number of high frequency returns during this period to go to infinity. Our analysis allows us to study how high frequency correlations, regressions and covariances change through time. In particular we provide confidence intervals for each of these quantities
The analysis of the intraday dynamics of covariances among high-frequency returns is challenging due...
Defence date: 13 June 2003Examining Board: Prof. H. Peter Boswijk, University of Amsterdam ; Prof. S...
Stylized facts for univariate high-frequency data in finance are well known. They include scaling be...
This paper analyses multivariate high frequency financial data using realised covariation. We provid...
This paper analyses multivariate high frequency financial data using realized covariation. We provid...
This paper analyses multivariate high frequency financial data using realized covari-ation. We provi...
This article proposes a consistent and efficient estimator of the high-frequency covariance (quadrat...
The availability of financial data recorded on high-frequency level has inspired a research area whi...
Le but de cette thèse est d’approfondir les connaissances académiques sur les variations jointes des...
Le but de cette thèse est d’approfondir les connaissances académiques sur les variations jointes des...
In this paper we introduce a new method of forecasting covariance matrices of large dimensions by ex...
In this paper we introduce a new method of forecasting covariance matrices of large dimensions by ex...
The analysis of the intraday dynamics of covariances among high-frequency returns is challenging due...
Defence date: 13 June 2003Examining Board: Prof. H. Peter Boswijk, University of Amsterdam ; Prof. S...
In this paper we introduce a new method of forecasting covariance matrices of large dimensions by ex...
The analysis of the intraday dynamics of covariances among high-frequency returns is challenging due...
Defence date: 13 June 2003Examining Board: Prof. H. Peter Boswijk, University of Amsterdam ; Prof. S...
Stylized facts for univariate high-frequency data in finance are well known. They include scaling be...
This paper analyses multivariate high frequency financial data using realised covariation. We provid...
This paper analyses multivariate high frequency financial data using realized covariation. We provid...
This paper analyses multivariate high frequency financial data using realized covari-ation. We provi...
This article proposes a consistent and efficient estimator of the high-frequency covariance (quadrat...
The availability of financial data recorded on high-frequency level has inspired a research area whi...
Le but de cette thèse est d’approfondir les connaissances académiques sur les variations jointes des...
Le but de cette thèse est d’approfondir les connaissances académiques sur les variations jointes des...
In this paper we introduce a new method of forecasting covariance matrices of large dimensions by ex...
In this paper we introduce a new method of forecasting covariance matrices of large dimensions by ex...
The analysis of the intraday dynamics of covariances among high-frequency returns is challenging due...
Defence date: 13 June 2003Examining Board: Prof. H. Peter Boswijk, University of Amsterdam ; Prof. S...
In this paper we introduce a new method of forecasting covariance matrices of large dimensions by ex...
The analysis of the intraday dynamics of covariances among high-frequency returns is challenging due...
Defence date: 13 June 2003Examining Board: Prof. H. Peter Boswijk, University of Amsterdam ; Prof. S...
Stylized facts for univariate high-frequency data in finance are well known. They include scaling be...