Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/72806
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dc.date.accessioned2021-04-05T06:05:57Z-
dc.date.available2021-04-05T06:05:57Z-
dc.date.issued2017-
dc.identifier.citationFava, D. (2017). Pricing of convertible bonds using discrete and continuous time models (Bachelor's dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/72806-
dc.descriptionB.SC.(HONS)STATS.&OP.RESEARCHen_GB
dc.description.abstractA hybrid financial instrument is a financial instrument which has characteristics of both equity and debt. An example of a hybrid financial instrument is a Convertible bond. Convertible bonds offer an interest return from the debt component as well as capital gain from the equity component. The main aim of this thesis is to delve into the theory of modelling the price of convertible bonds. We look at the derivation of various pricing models in continuous time. Then, we consider discrete time approximations of the pricing models, using the binomial model and finite difference method. To conclude, we implement the models in MATLAB and see the performance of the approximations for the different pricing models for different market parameters.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectConvertible bondsen_GB
dc.subjectPrices -- Mathematical modelsen_GB
dc.subjectMATLABen_GB
dc.titlePricing of convertible bonds using discrete and continuous time modelsen_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Science. Department of Statistics and Operations Researchen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorFava, Daniel (2017)-
Appears in Collections:Dissertations - FacSci - 2017
Dissertations - FacSciSOR - 2017

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