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Stochastic modeling of crude oil prices

A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Applied Mathematics,

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Main Author: Imoro, Issah
Format: Thesis
Language:English
Published: 2016
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access_status_str Open Access
author Imoro, Issah
author_browse Imoro, Issah
author_facet Imoro, Issah
author_sort Imoro, Issah
collection Thesis
description A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Applied Mathematics,
format Thesis
id oai:ir.knust.edu.gh:123456789/8336
institution KNUST (Ghana)
language English
last_indexed 2026-06-10T12:31:18.486Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2016
publishDateRange 2016
publishDateSort 2016
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source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/8336 Stochastic modeling of crude oil prices Imoro, Issah A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Applied Mathematics, The prices of crude oil are largely characterized by shocks due to the flow in supply and demand of soil. In this study, we modeled crude oil prices fluctuations using stochastic differential equations. Analytical and numerical solutions of the three factors model proposed by Cortazar and Schwartz (2003) are presented based on the current price, the future price and volatility of the crude oil. Our simulations results implementing the model indicated that the simulations achieve better results when as many paths with smaller time interval are used. We also studied the price dynamics of WTI crude oil traded at NYMEX from 2004 to 2014. Our study showed that crude oil prices uctuate over the years with the highest price recorded in June, 2008 but dropped signifi cantly to $41.12/barrel in December, 2008. We also studied the price dynamics of crude oil futures for the period, April, 2015 to December, 2023 and observed that despite the continuous fall in crude oil prices from November, 2014, futures prices increase continuously. Our simulation results on the value of crude oil options revealed that as the value of crude oil prices increase, the expected value of the option increases. KNUST 2016-02-29T10:13:46Z 2023-04-20T09:22:56Z 2016-02-29T10:13:46Z 2023-04-20T09:22:56Z October, 2015 Thesis https://ir.knust.edu.gh/handle/123456789/8336 en application/pdf
spellingShingle Imoro, Issah
Stochastic modeling of crude oil prices
title Stochastic modeling of crude oil prices
title_full Stochastic modeling of crude oil prices
title_fullStr Stochastic modeling of crude oil prices
title_full_unstemmed Stochastic modeling of crude oil prices
title_short Stochastic modeling of crude oil prices
title_sort stochastic modeling of crude oil prices
url https://ir.knust.edu.gh/handle/123456789/8336
work_keys_str_mv AT imoroissah stochasticmodelingofcrudeoilprices