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A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.

Includes abstract.

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Bibliographic Details
Main Author: Joseph, Bernard
Other Authors: Becker, Ronald
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2014
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author Joseph, Bernard
author2 Becker, Ronald
author_browse Becker, Ronald
Joseph, Bernard
author_facet Becker, Ronald
Joseph, Bernard
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description Includes abstract.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:56.154Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
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spelling oai:open.uct.ac.za:11427/6076 A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph. Joseph, Bernard Becker, Ronald Mathematical Finance Includes abstract. Includes bibliographical references. We give a review of regression-based Monte Carlo methods for pricing high-dimensional American and Bermudan options for which backwards methods such as lattice and PDE methods do not work. The continuous-time pricing problem is approximated in discrete time and the problem is formulated as an optimal stopping problem. The optimal stopping time can be expressed through continuation values (the price of the option given that the option is exercised after time j conditioned on the state process at time j). Regression-based Monte Carlo methods apply regression estimates to data generated by artificial samples of the state process in order to approximate continuation values. The resulting estimate of the option price is a lower bound. We then look at a dual formation of the optimal stopping problem which is used to generate an upper bound for the option price. The upper bound can be constructed by using any approximation to the option price. By using an approximation that arises from a lower bound method we have a general method for generating valid confidence intervals for the price of the option. In this way, the upper bound allows for a better estimate of the price to be computed and it provides a way of investigating the tightness of the lower bound by indicating whether more effort is needed to improve it. 2014-08-13T13:22:37Z 2014-08-13T13:22:37Z 2013 Master Thesis Masters MPhil http://hdl.handle.net/11427/6076 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematical Finance
Joseph, Bernard
A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.
thesis_degree_str Master's
title A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.
title_full A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.
title_fullStr A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.
title_full_unstemmed A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.
title_short A survey of some regression-based and duality methods to value American and Bermudan options Bernard Joseph.
title_sort survey of some regression based and duality methods to value american and bermudan options bernard joseph
topic Mathematical Finance
url http://hdl.handle.net/11427/6076
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