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School of Management Studies

Comparing GARCH models for gold price data, using a statistical loss function approach and an option pricing approach

Abstract

dc:description.abstract

Derivative instruments that rely on the price of gold are traded in large volumes. A significant number of these instruments are influenced by the volatility of gold price movements. Hence, it is important to understand the volatility of this commodity when developing successful trading and hedging strategies. In this thesis, use is made of various GARCH models that are evaluated using both in-sample and out-of-sample criteria.

Degree

thesis:*
Grantor dc:publisher.institution
School of Management Studies
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cuningham, Blake
Advisor dc:contributor.advisor
  • Kotze, Kevin

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/10289
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/10289

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

Cuningham, Blake. Comparing GARCH models for gold price data, using a statistical loss function approach and an option pricing approach. School of Management Studies, 2011. http://hdl.handle.net/11427/10289