Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate
Includes bibliographical references (leaves 33-36). === This paper presents the results of Gaussian estimation of the South African short-term interest rate. It uses the same Gaussian estimation techniques employed by Nowman (1997) to estimate the South African short-term interest rate using South a...
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Online Access: | http://hdl.handle.net/11427/5752 |
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ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-57522020-10-06T05:10:58Z Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate Aling, Peter Hassan, Shakill Economics Includes bibliographical references (leaves 33-36). This paper presents the results of Gaussian estimation of the South African short-term interest rate. It uses the same Gaussian estimation techniques employed by Nowman (1997) to estimate the South African short-term interest rate using South afrcan Treasury bill data. A range of single-factor continuous-time models of the short-term interest rate are estimated using a discrete-time model and compared to a discrete approximation used by Chan, Karolyi, Lonstaff and Sanders (1992a). We find that the process followed by the South African short-term interest rate is best explained by the Constant Elasticity of Variance (CEV) model and that the conditional volatility depends to some extent on the level of the interest rate. In addition we find evidence of a structural break in the mid-1980s, confirming our suspicions that the financial liberalisation of that period affected the short rate process. 2014-07-31T12:25:48Z 2014-07-31T12:25:48Z 2007 Master Thesis Masters MCom http://hdl.handle.net/11427/5752 eng application/pdf University of Cape Town Faculty of Commerce School of Economics |
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English |
format |
Dissertation |
sources |
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Economics |
spellingShingle |
Economics Aling, Peter Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate |
description |
Includes bibliographical references (leaves 33-36). === This paper presents the results of Gaussian estimation of the South African short-term interest rate. It uses the same Gaussian estimation techniques employed by Nowman (1997) to estimate the South African short-term interest rate using South afrcan Treasury bill data. A range of single-factor continuous-time models of the short-term interest rate are estimated using a discrete-time model and compared to a discrete approximation used by Chan, Karolyi, Lonstaff and Sanders (1992a). We find that the process followed by the South African short-term interest rate is best explained by the Constant Elasticity of Variance (CEV) model and that the conditional volatility depends to some extent on the level of the interest rate. In addition we find evidence of a structural break in the mid-1980s, confirming our suspicions that the financial liberalisation of that period affected the short rate process. |
author2 |
Hassan, Shakill |
author_facet |
Hassan, Shakill Aling, Peter |
author |
Aling, Peter |
author_sort |
Aling, Peter |
title |
Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate |
title_short |
Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate |
title_full |
Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate |
title_fullStr |
Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate |
title_full_unstemmed |
Gaussian estimation of single-factor continuous-time models of the South African short-term interest rate |
title_sort |
gaussian estimation of single-factor continuous-time models of the south african short-term interest rate |
publisher |
University of Cape Town |
publishDate |
2014 |
url |
http://hdl.handle.net/11427/5752 |
work_keys_str_mv |
AT alingpeter gaussianestimationofsinglefactorcontinuoustimemodelsofthesouthafricanshortterminterestrate |
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1719347935247859712 |