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Department of Statistical Sciences

Multivariate volatility modelling in modern finance

Abstract

dc:description.abstract

The aim of the study is to ascertain whether the information gained from the more complicated multivariate matrix decomposition models can be used to better forecast the covariance matrix and produce a Value at Risk estimate which more appropriately describes fat-tailed financial time-series.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Statistical Sciences
Year dc:date.issued
2008

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bongers, Martin B
Advisor dc:contributor.advisor
  • Haines, Linda

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/4373
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/4373

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
related terms
citation

Bongers, Martin B. Multivariate volatility modelling in modern finance. Department of Statistical Sciences, 2008. http://hdl.handle.net/11427/4373