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Potential Future Exposure in the Presence of Initial Margin

This dissertation considers the concept of potential future exposure, and how initial margin can be used to mitigate it. In addition to this, the cost of implementing initial margin is estimated, and some of the difficulties associated with it are addressed. The two primary techniques for calculatin...

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Main Author: Nevin, James
Other Authors: McWalter, Thomas
Format: Thesis
Language:English
Published: African Institute of Financial Markets and Risk Management 2020
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access_status_str Open Access
author Nevin, James
author2 McWalter, Thomas
author_browse McWalter, Thomas
Nevin, James
author_facet McWalter, Thomas
Nevin, James
author_sort Nevin, James
collection Thesis
description This dissertation considers the concept of potential future exposure, and how initial margin can be used to mitigate it. In addition to this, the cost of implementing initial margin is estimated, and some of the difficulties associated with it are addressed. The two primary techniques for calculating initial margin considered are nested Monte Carlo, and Gaussian Least Squares Monte Carlo. These two techniques are compared for effectiveness. It is shown that the nested Monte Carlo technique performs well under numerous conditions, and that the Gaussian Least Squares Monte Carlo relies on particular model and instrument characteristics.
format Thesis
id oai:open.uct.ac.za:11427/30891
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:41.113Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2020
publishDateRange 2020
publishDateSort 2020
publisher African Institute of Financial Markets and Risk Management
publisherStr African Institute of Financial Markets and Risk Management
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/30891 Potential Future Exposure in the Presence of Initial Margin Nevin, James McWalter, Thomas Mathematical Finance This dissertation considers the concept of potential future exposure, and how initial margin can be used to mitigate it. In addition to this, the cost of implementing initial margin is estimated, and some of the difficulties associated with it are addressed. The two primary techniques for calculating initial margin considered are nested Monte Carlo, and Gaussian Least Squares Monte Carlo. These two techniques are compared for effectiveness. It is shown that the nested Monte Carlo technique performs well under numerous conditions, and that the Gaussian Least Squares Monte Carlo relies on particular model and instrument characteristics. 2020-02-06T12:25:57Z 2020-02-06T12:25:57Z 2019 2020-02-04T06:49:23Z Master Thesis Masters MPhil http://hdl.handle.net/11427/30891 eng application/pdf African Institute of Financial Markets and Risk Management Faculty of Commerce
spellingShingle Mathematical Finance
Nevin, James
Potential Future Exposure in the Presence of Initial Margin
thesis_degree_str Master's
title Potential Future Exposure in the Presence of Initial Margin
title_full Potential Future Exposure in the Presence of Initial Margin
title_fullStr Potential Future Exposure in the Presence of Initial Margin
title_full_unstemmed Potential Future Exposure in the Presence of Initial Margin
title_short Potential Future Exposure in the Presence of Initial Margin
title_sort potential future exposure in the presence of initial margin
topic Mathematical Finance
url http://hdl.handle.net/11427/30891
work_keys_str_mv AT nevinjames potentialfutureexposureinthepresenceofinitialmargin