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Inflation modelling for long-term liability driven investments

Includes bibliographical references.

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Bibliographic Details
Main Author: De Kock, Justin
Other Authors: Mollentz, Greg
Format: Thesis
Language:English
Published: Division of Actuarial Science 2016
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access_status_str Open Access
author De Kock, Justin
author2 Mollentz, Greg
author_browse De Kock, Justin
Mollentz, Greg
author_facet Mollentz, Greg
De Kock, Justin
author_sort De Kock, Justin
collection Thesis
description Includes bibliographical references.
format Thesis
id oai:open.uct.ac.za:11427/18602
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:44:38.279Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Division of Actuarial Science
publisherStr Division of Actuarial Science
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/18602 Inflation modelling for long-term liability driven investments De Kock, Justin Mollentz, Greg McWalter, Tom Actuarial Science Includes bibliographical references. A regime-switching model allows a process to switch randomly between different regimes which have different parameter estimates. This study investigates the use of a two regime-switching model for inflation in South Africa as a means of determining a hedging strategy for inflation linked liabilities of a financial institution. Each regime is modeled using an autoregressive process with different parameters and the change in regimes is governed by a two state Markov chain. Once the parameters have been estimated, the predictive validity of the regime-switching process as a model for inflation in South Africa is tested and a hedging strategy is outlined for a set of inflation linked cash flows. The hedging strategy is to invest in inflation linked bonds, the number of which is determined through the use of a Rand-per-point methodology that is applied to the inflation linked cash flows and inflation linked bonds. Over the period from January 2008 to June 2013 this hedging strategy was shown to be profitable. 2016-04-05T11:42:31Z 2016-04-05T11:42:31Z 2014 Master Thesis Masters MPhil http://hdl.handle.net/11427/18602 eng application/pdf Division of Actuarial Science Faculty of Commerce University of Cape Town
spellingShingle Actuarial Science
De Kock, Justin
Inflation modelling for long-term liability driven investments
thesis_degree_str Master's
title Inflation modelling for long-term liability driven investments
title_full Inflation modelling for long-term liability driven investments
title_fullStr Inflation modelling for long-term liability driven investments
title_full_unstemmed Inflation modelling for long-term liability driven investments
title_short Inflation modelling for long-term liability driven investments
title_sort inflation modelling for long term liability driven investments
topic Actuarial Science
url http://hdl.handle.net/11427/18602
work_keys_str_mv AT dekockjustin inflationmodellingforlongtermliabilitydriveninvestments