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Modelling conditional covariances with orthogonal factor models

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...

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Main Author: Jensen, Tracy
Other Authors: Haines, Linda
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2015
Subjects:
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access_status_str Open Access
author Jensen, Tracy
author2 Haines, Linda
author_browse Haines, Linda
Jensen, Tracy
author_facet Haines, Linda
Jensen, Tracy
author_sort Jensen, Tracy
collection Thesis
description 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.
format Thesis
id oai:open.uct.ac.za:11427/10951
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:07.214Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/10951 Modelling conditional covariances with orthogonal factor models Jensen, Tracy Haines, Linda Mathematics of Finance 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. 2015-01-02T09:03:50Z 2015-01-02T09:03:50Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/10951 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics of Finance
Jensen, Tracy
Modelling conditional covariances with orthogonal factor models
thesis_degree_str Master's
title Modelling conditional covariances with orthogonal factor models
title_full Modelling conditional covariances with orthogonal factor models
title_fullStr Modelling conditional covariances with orthogonal factor models
title_full_unstemmed Modelling conditional covariances with orthogonal factor models
title_short Modelling conditional covariances with orthogonal factor models
title_sort modelling conditional covariances with orthogonal factor models
topic Mathematics of Finance
url http://hdl.handle.net/11427/10951
work_keys_str_mv AT jensentracy modellingconditionalcovarianceswithorthogonalfactormodels