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A stochastic water-market pricing model for an emerging city in the case of South Africa

Dissertation (MSc (Financial Engineering))--University of Pretoria, 2021.

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Other Authors: Kufakunesu, Rodwell
Format: Thesis
Language:English
Published: University of Pretoria 2021
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access_status_str Open Access
author2 Kufakunesu, Rodwell
author_browse Kufakunesu, Rodwell
author_facet Kufakunesu, Rodwell
collection Thesis
dc_rights_str_mv © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc (Financial Engineering))--University of Pretoria, 2021.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:45.136Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2021
publishDateRange 2021
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publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/80626 A stochastic water-market pricing model for an emerging city in the case of South Africa Kufakunesu, Rodwell fowldsmegan@gmail.com Fowlds, Megan UCTD Financial Engineering Dissertation (MSc (Financial Engineering))--University of Pretoria, 2021. Water scarcity in South-Africa is a major discussion point in most circles. The most recent drought in South Africa, especially in Cape Town and other emerging markets, emphasised the need for water in South Africa. Australia has recently opted for a water trading market and this has helped them to control the use of water and ensure that it is used more responsibly and efficiently. Proposing pricing dynamics for water and establishing a market, will encourage people to use this resource more sparingly. It will provide financial benefits to all water users and municipalities and will allow municipalities the opportunity to manage water supply infrastructure under new dynamics that affect urban growing cities. We investigate, explicitly derive and simulate realistic pricing dynamics for water. We use the classical uniform method to simulate the L evy Process based on a Compound Poisson approximation to allow for jumps in water prices, with a Monte Carlo Simulation of the seasonal and mean-reverting Brownian motion. Seasonality and mean-reversion coefficients will be derived from South African fresh water supply data. The proposed water market is an incomplete market, and the restrictions on hedging mechanisms and arbitrage theory will be discussed. Mathematics and Applied Mathematics MSc (Financial Engineering) Unrestricted 2021-06-28T08:14:14Z 2021-06-28T08:14:14Z 2021-09 2021-12 Dissertation Fowlds, M 2021, A stochastic water-market pricing model for an emerging city in the case of South Africa, Masters Dissertation, University of Pretoria, Pretoria yyyymmdd http://hdl.handle.net/2263/80626 S2021 http://hdl.handle.net/2263/80626 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Financial Engineering
A stochastic water-market pricing model for an emerging city in the case of South Africa
title A stochastic water-market pricing model for an emerging city in the case of South Africa
title_full A stochastic water-market pricing model for an emerging city in the case of South Africa
title_fullStr A stochastic water-market pricing model for an emerging city in the case of South Africa
title_full_unstemmed A stochastic water-market pricing model for an emerging city in the case of South Africa
title_short A stochastic water-market pricing model for an emerging city in the case of South Africa
title_sort stochastic water market pricing model for an emerging city in the case of south africa
topic UCTD
Financial Engineering
url http://hdl.handle.net/2263/80626