The Essex Centre for Macro and Financial Econometrics warmly invites you to join guest speaker Professor Peter Hansen from the University of North Carolina, Chapel Hill as part of the EBS Research Seminar Series.
14:00 - 15:30
Peter Hansen, University of North Carolina, Chapel Hill
Lectures, talks and seminars
Essex Centre for Macro and Financial Econometrics (ECMFE) Research Seminar Series
Essex Business School
Professor Robert Taylor email@example.com
The Essex Centre for Macro and Financial Econometrics brings together academic and industry expertise from inside and outside the University of Essex to research and help solve important issues in financial markets.
In this presentation the authors present new results for a new parametrization of correlation matrices, that can be viewed as a generalization of the Fisher transformation of a correlation coefficient.
The parametrization has desirable properties and can be used to generate random correlation matrices, as we illustrate.
They also present results for block correlation matrices, for which a canonical representation greatly simplify estimation in static models. They also use the canonical representation to introduce a new type of multivariate GARCH models. Several results will be visualized using the Julia Programming language.
This seminar is free to attend. The seminar will take place online in a password protected Zoom room.
Please contact the organiser for the password.
Peter Hansen is the Henry A. Latané Distinguished Professor in Economics at the University of North Carolina, Chapel Hill.
He holds a MSc in Mathematics and Economics from University of Copenhagen and a PhD. in Economics from University of California, San Diego.
He previously held academic positions the European University Institute in Florence, Italy, Stanford University, and Brown University.
Professor Hansen is a leading researcher on forecasting and volatility modeling, and he was included on the Thomson Reuters/Clarivate list of the World’s Most Influential Scientific Minds in 2014, 2015, 2016, 2017.
His research is in econometrics, including forecasting, volatility measurement and modeling, cointegration, structural changes, and multiple testing, with some of his main contributions being associated with the Test for Superior Predictability, the Model Confidence Set, the Realized Kernel Estimator, and the Realized GARCH framework, which won the Richard Stone Prize in Applied Econometrics in 2014.