Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities

This dissertation explores a key challenge of the financial industry — the efficient computation of sensitivities of financial instruments. The adjoint approach to solving affine recursion problems (ARPs) is presented as a solution to this challenge. A Monte Carlo setting is adopted and it is illust...

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Main Author: Morley, Niall
Other Authors: McWalter, Tom
Format: Dissertation
Language:English
Published: University of Cape Town 2019
Subjects:
Online Access:http://hdl.handle.net/11427/29218
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-292182020-07-22T05:07:25Z Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities Morley, Niall McWalter, Tom Mathematical Finance This dissertation explores a key challenge of the financial industry — the efficient computation of sensitivities of financial instruments. The adjoint approach to solving affine recursion problems (ARPs) is presented as a solution to this challenge. A Monte Carlo setting is adopted and it is illustrated how computational efficiency in sensitivity calculation may be significantly improved via the pathwise derivatives method through adapting an adjoint approach. This is achieved through the reversal of the order of differentiation in the pathwise derivatives algorithm in comparison to the standard, intuitive ‘forward’ approach. The Libor market model (LMM) framework is selected for examples to demonstrate these computational savings, with varying degrees of complexity of the LMM explored, from a one-factor model with constant volatility to a full factor model with time homogeneous volatilities. 2019-02-04T11:18:06Z 2019-02-04T11:18:06Z 2018 2019-02-04T08:33:29Z Masters Thesis Masters MPhil http://hdl.handle.net/11427/29218 eng application/pdf University of Cape Town Faculty of Commerce African Institute of Financial Markets and Risk Management
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Mathematical Finance
spellingShingle Mathematical Finance
Morley, Niall
Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
description This dissertation explores a key challenge of the financial industry — the efficient computation of sensitivities of financial instruments. The adjoint approach to solving affine recursion problems (ARPs) is presented as a solution to this challenge. A Monte Carlo setting is adopted and it is illustrated how computational efficiency in sensitivity calculation may be significantly improved via the pathwise derivatives method through adapting an adjoint approach. This is achieved through the reversal of the order of differentiation in the pathwise derivatives algorithm in comparison to the standard, intuitive ‘forward’ approach. The Libor market model (LMM) framework is selected for examples to demonstrate these computational savings, with varying degrees of complexity of the LMM explored, from a one-factor model with constant volatility to a full factor model with time homogeneous volatilities.
author2 McWalter, Tom
author_facet McWalter, Tom
Morley, Niall
author Morley, Niall
author_sort Morley, Niall
title Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
title_short Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
title_full Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
title_fullStr Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
title_full_unstemmed Application of Adjoint Differentiation (AD) for Calculating Libor Market Model Sensitivities
title_sort application of adjoint differentiation (ad) for calculating libor market model sensitivities
publisher University of Cape Town
publishDate 2019
url http://hdl.handle.net/11427/29218
work_keys_str_mv AT morleyniall applicationofadjointdifferentiationadforcalculatinglibormarketmodelsensitivities
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