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Department of Statistical Sciences

Option pricing using hidden Markov models

Abstract

dc:description.abstract

This work will present an option pricing model that accommodates parameters that vary over time, whilst still retaining a closed-form expression for option prices: the Hidden Markov Option Pricing Model. This is possible due to the macro-structure of this model and provides the added advantage of ensuring efficient computation of option prices. This model turns out to be a very natural extension to the Black-Scholes model, allowing for time-varying input parameters.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Statistical Sciences
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Anderson, Michael
Advisor dc:contributor.advisor
  • Guo, Renkuan

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/10045
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/10045

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

Anderson, Michael. Option pricing using hidden Markov models. Department of Statistical Sciences, 2006. http://hdl.handle.net/11427/10045