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The Cambridge-INET Institute

 

Masterclass with Wolfgang Härdle

Prof. Wolfgang Härdle is the Ladislaus von Bortkiewicz Chair of Statistics in Humboldt Universität zu Berlin. Distinguished Guest Professor at Xiamen University and international advisor to Beijing University.

Class Title: Copulae and time varying non Gaussian Dependency Structures
Time-varying and non-Gaussian dependencies for multivariate time-series are in demand for many economic models. Current models available suffer from the misfortune of dimensionality or restrictive assumptions on the parameters and the distribution. New promising classes of models are copulae that allow for non-exchangeable and non Gaussian dependency structures with a small number of parameters. For Hierarchical Archimedean Copulae (HAC) a novel adaptive estimation technique based on Local Likelihood Approximation (LPA) for the parameters and of the structure of HAC in a time varying context is presented. Typical applications are in the financial field but also more recently in the spatial analysis of climate parameters. An analysis of time varying dependency structure of stock indices and exchange rates reveals periods with constant and turmoil dependencies. The economic significance of the suggested modelling is evaluated using Value-at-Risk of a portfolio and the correction of the implied correlation smile of, for example, CDO’s.

Venue: Winstanley Lecture Theatre, Trinity College, Cambridge

Event Date: Wednesday 28th May 2014 - Thursday 29th May 2014

Time: 09:30am - 06:00pm

Programme

Prof. Wolfgang Härdle
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Masterclass poster
 

Tags:

Time Series

Models

Time-varying

non-Gaussian

Theme: empirical