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Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models

When optimising the likelihood function one often encounters various stationary points and sometimes discontinuities in the parameter space (Gupta and Mehra, 1974). This is certainly true for a majority of multi-factor affine term structure models. Practitioners often recover different parameter opt...

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Main Author: Tokwe,Thabo
Other Authors: Ouwehand, Peter
Format: Thesis
Language:English
Published: African Institute of Financial Markets and Risk Management 2019
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access_status_str Open Access
author Tokwe,Thabo
author2 Ouwehand, Peter
author_browse Ouwehand, Peter
Tokwe,Thabo
author_facet Ouwehand, Peter
Tokwe,Thabo
author_sort Tokwe,Thabo
collection Thesis
description When optimising the likelihood function one often encounters various stationary points and sometimes discontinuities in the parameter space (Gupta and Mehra, 1974). This is certainly true for a majority of multi-factor affine term structure models. Practitioners often recover different parameter optimisations depending on the initial parameters. If these parameters result in different option prices, the implications would be severe. This paper examines these implications through numerical experiments on the three-factor Vasicek and Arbitrage-free Nelson-Siegel (AFNS) models. The numerical experiments involve Kalman filtering as well as likelihood optimisation for parameter estimation. It was found that the parameter sets lead to the same short rate process and thus the same model. Moreover, likelihood optimisation in the AFNS does not result in different parameter sets irrespective of the starting point.
format Thesis
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:47:34.514Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher African Institute of Financial Markets and Risk Management
publisherStr African Institute of Financial Markets and Risk Management
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/29465 Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models Tokwe,Thabo Ouwehand, Peter Mathematical Finance When optimising the likelihood function one often encounters various stationary points and sometimes discontinuities in the parameter space (Gupta and Mehra, 1974). This is certainly true for a majority of multi-factor affine term structure models. Practitioners often recover different parameter optimisations depending on the initial parameters. If these parameters result in different option prices, the implications would be severe. This paper examines these implications through numerical experiments on the three-factor Vasicek and Arbitrage-free Nelson-Siegel (AFNS) models. The numerical experiments involve Kalman filtering as well as likelihood optimisation for parameter estimation. It was found that the parameter sets lead to the same short rate process and thus the same model. Moreover, likelihood optimisation in the AFNS does not result in different parameter sets irrespective of the starting point. 2019-02-11T13:09:24Z 2019-02-11T13:09:24Z 2018 2019-02-11T11:50:30Z Master Thesis Masters MPhil http://hdl.handle.net/11427/29465 eng application/pdf African Institute of Financial Markets and Risk Management Faculty of Commerce University of Cape Town
spellingShingle Mathematical Finance
Tokwe,Thabo
Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
thesis_degree_str Master's
title Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
title_full Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
title_fullStr Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
title_full_unstemmed Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
title_short Kalman Filtering and the Estimation of Multi-factor Affine Term Structure Models
title_sort kalman filtering and the estimation of multi factor affine term structure models
topic Mathematical Finance
url http://hdl.handle.net/11427/29465
work_keys_str_mv AT tokwethabo kalmanfilteringandtheestimationofmultifactoraffinetermstructuremodels