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Numerical valuation of surrender options

A thesis submitted to the Department of Mathematics,Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Actuarial Science.

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Main Author: Boateng, Kwasi
Format: Thesis
Language:English
Published: 2016
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access_status_str Open Access
author Boateng, Kwasi
author_browse Boateng, Kwasi
author_facet Boateng, Kwasi
author_sort Boateng, Kwasi
collection Thesis
description A thesis submitted to the Department of Mathematics,Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Actuarial Science.
format Thesis
id oai:ir.knust.edu.gh:123456789/8404
institution KNUST (Ghana)
language English
last_indexed 2026-06-10T12:31:22.621Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2016
publishDateRange 2016
publishDateSort 2016
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source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/8404 Numerical valuation of surrender options Boateng, Kwasi A thesis submitted to the Department of Mathematics,Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the Degree of Master of Philosophy in Actuarial Science. Embedded in Life insurance contracts are surrender options and also path dependency. Surrender option stems from many reasons. Multi morbidity increases the rate of mortality and a variety of adverse health outcomes which may lead to surrendering. In Ghana, poverty levels coupled with social burdens can inform a multi-morbid person to surrender a life policy contract. The study seeks to incorporate the multi-morbid survival rate of a policy holder in the Black-Scholes model for option pricing. The solution to this model come along with its own complexities. Therefore the need to resort to numerical solutions for the option valuation. Further, a comparison is made of two finite difference algorithms in solving the proposed Black-Scholes equation ;the Crank-Nicolson method and the Implicit method. In line with these objectives, simulations of survival times were performed to compute the survival rate and the stability, consistency and convergence of these algorithms were investigated. It was observed that the algorithms were stable, consistent and converges to the exact solution. However the Explicit method of the finite difference approximation is found to be conditionally stable. Numerical solution to the Black -Scholes model and the proposed model indicates that the Crank-Nicolson method converges faster than the Implicit method for the Black-Scholes while the Implicit method converges faster than the Crank- Nicolson method. Finally it is observed that the Implicit method converges faster as the multi-morbid survival rate decreases below the short rate of the Black-Scholes model. KNUST 2016-03-23T10:51:56Z 2023-04-20T12:27:14Z 2016-03-23T10:51:56Z 2023-04-20T12:27:14Z June, 2015. Thesis https://ir.knust.edu.gh/handle/123456789/8404 en application/pdf
spellingShingle Boateng, Kwasi
Numerical valuation of surrender options
title Numerical valuation of surrender options
title_full Numerical valuation of surrender options
title_fullStr Numerical valuation of surrender options
title_full_unstemmed Numerical valuation of surrender options
title_short Numerical valuation of surrender options
title_sort numerical valuation of surrender options
url https://ir.knust.edu.gh/handle/123456789/8404
work_keys_str_mv AT boatengkwasi numericalvaluationofsurrenderoptions