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Department of Mathematics and Applied Mathematics

Modelling conditional covariances with orthogonal factor models

Abstract

dc:description.abstract

The 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

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
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citation

Jensen, Tracy. Modelling conditional covariances with orthogonal factor models. Department of Mathematics and Applied Mathematics, 2011. http://hdl.handle.net/11427/10951