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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorVaart, A.W. van der
dc.contributor.advisorDajani, K.
dc.contributor.advisorHemminga, M.A.
dc.contributor.authorMolenaars, T.K.
dc.date.accessioned2012-06-21T17:01:29Z
dc.date.available2012-06-21
dc.date.available2012-06-21T17:01:29Z
dc.date.issued2012
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/10564
dc.description.abstractThe Nelson-Siegel model is used by many practitioners in the field of yield curve fitting and modeling. In the beginning it was just a method to fit the yield curve, nowadays people have developed methods using the Nelson-Siegel curve to predict the yield curve. This model, as a forecasting method based on continuous processes, lacks theoretical background. We take over Filipović’s the definition of the consistent state space process: the process which, when representing the parameters of the Nelson-Siegel curve, turns the discounted bond price into a martingale (what can be seen as the no-arbitrage condition). For Itô processes, it is shown there exists no nontrivial interest rate model consistent with the Nelson-Siegel family. Secondly we introduce jump processes and stochastic calculus for jump processes. We derive conditions on the dynamics of an Independent jump process in order to represent a consistent state space process. It turns out that there exists no nontrivial interest rate model driven by an Independent jump process.
dc.description.sponsorshipUtrecht University
dc.format.extent721169 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleOn consistent stochastic processes in the Nelson-Siegel framework
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsNelson-Siegel
dc.subject.keywordsYield curve
dc.subject.keywordsInterest rate model
dc.subject.keywordsState space process
dc.subject.keywordsConsistency
dc.subject.keywordsForecasting
dc.subject.courseuuStochastics and Financial Mathematics


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