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African Institute of Financial Markets and Risk Management

Modelling Equities with a Stochastic Volatility Jump Diffusion

Abstract

dc:description.abstract

The Bates model provides a parsimonious fit to implied volatility surfaces, and its usefulness in developed markets is well documented. However, there is a lack of research assessing its applicability to developing markets. Additionally, research surrounding its usefulness for hedging long term liabilities is limited, despite its frequent use for this purpose. This dissertation dissects the dynamics of the Bates model into the Heston and Merton models in order to separately examine the effects of stochastic volatility and jumps. Challenges surrounding application of this model are investigated through an evaluation of risk-neutral calibration and simulation methods. The model’s ability to fit the implied volatility surfaces from the JSE Top 40 equity index is analysed. Lastly, an evaluation of the model’s delta and vega hedging performance is presented by comparing it to the hedge performance of other commonly used models.

Degree

thesis:*
Grantor dc:publisher.institution
African Institute of Financial Markets and Risk Management
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gorven, Matthew
Advisors dc:contributor.advisor
  • Mahomed, Obeid
  • Taylor, David

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/29448
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/29448

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

Gorven, Matthew. Modelling Equities with a Stochastic Volatility Jump Diffusion. African Institute of Financial Markets and Risk Management, 2018. http://hdl.handle.net/11427/29448