Modelling seasonality in South African agricultural futures
Includes bibliographical references (leaves 86-87). === This study investigates the seasonality in agricultural commodity futures prices. Futures prices are modelled using the model developed by Sørensen (2002). The model defines the commodity spot price as the sum of a nonstationary state variable,...
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ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-117102020-10-06T05:11:28Z Modelling seasonality in South African agricultural futures Kirk, Richard Wilcox, Diane Financial Mathematics Includes bibliographical references (leaves 86-87). This study investigates the seasonality in agricultural commodity futures prices. Futures prices are modelled using the model developed by Sørensen (2002). The model defines the commodity spot price as the sum of a nonstationary state variable, a stationary state variable and a deterministic seasonal component. Standard no-arbitrage arguments are applied in order to derive futures and option prices. Model parameters are estimated using Kalman filter methodology and maximum likelihood estimation. Model parameters are estimated for white maize, yellow maize and wheat futures traded on the South African Futures Exchange (SAFEX). Furthermore, this research considers other models for commodity derivatives as well as pricing futures contracts in the presence of price limits. 2015-01-07T13:39:15Z 2015-01-07T13:39:15Z 2007 Master Thesis Masters MSc http://hdl.handle.net/11427/11710 eng application/pdf University of Cape Town Faculty of Commerce School of Economics |
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NDLTD |
language |
English |
format |
Dissertation |
sources |
NDLTD |
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Financial Mathematics |
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Financial Mathematics Kirk, Richard Modelling seasonality in South African agricultural futures |
description |
Includes bibliographical references (leaves 86-87). === This study investigates the seasonality in agricultural commodity futures prices. Futures prices are modelled using the model developed by Sørensen (2002). The model defines the commodity spot price as the sum of a nonstationary state variable, a stationary state variable and a deterministic seasonal component. Standard no-arbitrage arguments are applied in order to derive futures and option prices. Model parameters are estimated using Kalman filter methodology and maximum likelihood estimation. Model parameters are estimated for white maize, yellow maize and wheat futures traded on the South African Futures Exchange (SAFEX). Furthermore, this research considers other models for commodity derivatives as well as pricing futures contracts in the presence of price limits. |
author2 |
Wilcox, Diane |
author_facet |
Wilcox, Diane Kirk, Richard |
author |
Kirk, Richard |
author_sort |
Kirk, Richard |
title |
Modelling seasonality in South African agricultural futures |
title_short |
Modelling seasonality in South African agricultural futures |
title_full |
Modelling seasonality in South African agricultural futures |
title_fullStr |
Modelling seasonality in South African agricultural futures |
title_full_unstemmed |
Modelling seasonality in South African agricultural futures |
title_sort |
modelling seasonality in south african agricultural futures |
publisher |
University of Cape Town |
publishDate |
2015 |
url |
http://hdl.handle.net/11427/11710 |
work_keys_str_mv |
AT kirkrichard modellingseasonalityinsouthafricanagriculturalfutures |
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1719349388371820544 |