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Modeling the term structure of zero-coupon bonds

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dc.date.accessioned 2019-05-24T11:48:13Z
dc.date.available 2019-05-24T11:48:13Z
dc.date.issued 2019-05-24
dc.identifier.uri http://hdl.handle.net/123456789/23462
dc.title Modeling the term structure of zero-coupon bonds en
ethesis.discipline none und
ethesis.department none und
ethesis.faculty Matemaattis-luonnontieteellinen tiedekunta fi
ethesis.faculty Faculty of Science en
ethesis.faculty Matematisk-naturvetenskapliga fakulteten sv
ethesis.faculty.URI http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca
ethesis.university.URI http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97
ethesis.university Helsingin yliopisto fi
ethesis.university University of Helsinki en
ethesis.university Helsingfors universitet sv
dct.creator Duevski, Teodor
dct.issued 2019
dct.language.ISO639-2 eng
dct.abstract In this thesis we model the term structure of zero-coupon bonds. Firstly, in the static setting by norm optimization Hilbert space techniques and starting from a set of benchmark fixed income instruments, we obtain a closed from expression for a smooth discount curve. Moving on to the dynamic setting, we describe the stochastic modeling of the fixed income market. Finally, we introduce the Heath-Jarrow-Morton (HJM) methodology. We derive the evolution of zero-coupon bond prices implied by the HJM methodology and prove the HJM drift condition for non arbitrage pricing in the fixed income market under a dynamic setting. Knowing the current discount curve is crucial for pricing and hedging fixed income securities as it is a basic input to the HJM valuation methodology. Starting from the non arbitrage prices of a set of benchmark fixed income instruments, we find a smooth discount curve which perfectly reproduces the current market quotes by minimizing a suitably defined norm related to the flatness of the forward curve. The regularity of the discount curve estimated makes it suitable for use as an input in the HJM methodlogy. This thesis includes a self-contained introduction to the mathematical modeling of the most commonly traded fixed income securities. In addition, we present the mathematical background necessary for modeling the fixed income market in a dynamic setting. Some familiarity with analysis, basic probability theory and functional analysis is assumed. en
dct.language en
ethesis.isPublicationLicenseAccepted true
ethesis.language.URI http://data.hulib.helsinki.fi/id/languages/eng
ethesis.language englanti fi
ethesis.language English en
ethesis.language engelska sv
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.thesistype pro gradu-avhandlingar sv
ethesis.thesistype.URI http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis
dct.identifier.ethesis E-thesisID:ca66b44d-c2f5-4ce6-b5f8-5966b1bdccd3
dct.identifier.urn URN:NBN:fi:hulib-201905242129
dc.type.dcmitype Text
ethesis.facultystudyline Matematiikka fi
ethesis.facultystudyline Mathematics en
ethesis.facultystudyline Matematik sv
ethesis.facultystudyline.URI http://data.hulib.helsinki.fi/id/SH50_050
ethesis.mastersdegreeprogram Teoreettisten ja laskennallisten menetelmien maisteriohjelma fi
ethesis.mastersdegreeprogram Master's Programme in Theoretical and Computational Methods en
ethesis.mastersdegreeprogram Magisterprogrammet i teoretiska och beräkningsmetoder sv
ethesis.mastersdegreeprogram.URI http://data.hulib.helsinki.fi/id/MH50_003

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