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Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems

This thesis focuses on the application of the enlargement of filtration to backward stochastic differential equations (BSDEs) and optimal stopping problems. In particular, the thesis develops the theory of the progressive enlargement of filtration with multiple random times and their associated mark...

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Main Author: Soane, Andrew
Other Authors: Ouwehand, Peter
Format: Thesis
Language:English
Published: African Institute of Financial Markets and Risk Management 2023
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access_status_str Open Access
author Soane, Andrew
author2 Ouwehand, Peter
author_browse Ouwehand, Peter
Soane, Andrew
author_facet Ouwehand, Peter
Soane, Andrew
author_sort Soane, Andrew
collection Thesis
description This thesis focuses on the application of the enlargement of filtration to backward stochastic differential equations (BSDEs) and optimal stopping problems. In particular, the thesis develops the theory of the progressive enlargement of filtration with multiple random times and their associated marks. Several extensions of the classical progressive enlargement of filtration are derived, including a semimartingale decomposition theorem and a martingale representation theorem. The extensions then allow for the study of BSDEs and optimal stopping problems in an enlarged filtration. BSDEs are a very useful tool in stochastic optimal control and mathematical finance, the usefulness in the latter being that the solutions provide simultaneous calculation of derivative prices and their corresponding hedging strategies. Enlargement of filtration has a very intuitive application to BSDEs in a financial context, it models the effect that additional information has on the valuation of derivatives and their hedging strategies. This thesis develops certain classical results on BSDEs in the context of enlargement of filtration. The thesis then progresses to studying the effect of additional information on the value process of an optimal stopping problem. This again has an intuitive application to finance, as the effect of valuing American contingent claims in the presence of additional information. A very useful decomposition of the Snell envelope is derived. The thesis is rounded out with several applications of certain key results to topical fields in mathematical finance such as utility optimisation, risk metrics and Snell envelopes.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:15.376Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
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:11427/37379 Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems Soane, Andrew Ouwehand, Peter Mathematical Finance This thesis focuses on the application of the enlargement of filtration to backward stochastic differential equations (BSDEs) and optimal stopping problems. In particular, the thesis develops the theory of the progressive enlargement of filtration with multiple random times and their associated marks. Several extensions of the classical progressive enlargement of filtration are derived, including a semimartingale decomposition theorem and a martingale representation theorem. The extensions then allow for the study of BSDEs and optimal stopping problems in an enlarged filtration. BSDEs are a very useful tool in stochastic optimal control and mathematical finance, the usefulness in the latter being that the solutions provide simultaneous calculation of derivative prices and their corresponding hedging strategies. Enlargement of filtration has a very intuitive application to BSDEs in a financial context, it models the effect that additional information has on the valuation of derivatives and their hedging strategies. This thesis develops certain classical results on BSDEs in the context of enlargement of filtration. The thesis then progresses to studying the effect of additional information on the value process of an optimal stopping problem. This again has an intuitive application to finance, as the effect of valuing American contingent claims in the presence of additional information. A very useful decomposition of the Snell envelope is derived. The thesis is rounded out with several applications of certain key results to topical fields in mathematical finance such as utility optimisation, risk metrics and Snell envelopes. 2023-03-13T10:57:48Z 2023-03-13T10:57:48Z 2022 2023-02-20T13:07:38Z Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/37379 eng application/pdf African Institute of Financial Markets and Risk Management Faculty of Commerce
spellingShingle Mathematical Finance
Soane, Andrew
Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems
thesis_degree_str Doctoral
title Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems
title_full Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems
title_fullStr Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems
title_full_unstemmed Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems
title_short Enlargement of Filtration, Backward Stochastic Differential Equations and Optimal Stopping Problems
title_sort enlargement of filtration backward stochastic differential equations and optimal stopping problems
topic Mathematical Finance
url http://hdl.handle.net/11427/37379
work_keys_str_mv AT soaneandrew enlargementoffiltrationbackwardstochasticdifferentialequationsandoptimalstoppingproblems