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Department of Mathematics and Applied Mathematics
Modelling conditional covariances with orthogonal factor models
Abstract
dc:description.abstractThe recent sub prime crisis has resulted in an increased focus on risk management and monitoring in the financial industry. One of the essential components of risk management and monitoring is a reliable ex-ante covariance matrix of various financial time series. Therefore a reliable model which can handle a large number of time series is required to calculate an ex-ante or conditional covariance matrix.
Degree
thesis:*- Grantor dc:publisher.institution
- Department of Mathematics and Applied Mathematics
- Year dc:date.issued
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Jensen, Tracy
- Advisor dc:contributor.advisor
-
- Haines, Linda
Rights
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/11427/10951
- OAI identifier oai:identifier
- oai:open.uct.ac.za:11427/10951