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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorDajani, Karma
dc.contributor.authorHoebers, T.H.
dc.date.accessioned2012-03-27T17:00:51Z
dc.date.available2012-03-27
dc.date.available2012-03-27T17:00:51Z
dc.date.issued2012
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/10228
dc.description.abstractA striking feature of the prices of financial assets is that their statistical properties are to some degree universal across difierent assets, regions and epochs. There is a vast amount of literature on modelling these so-called stylized facts of financial data, but relatively recently multifractal processes have been proposed as a new formalism for financial modelling. Their main power lies in the fact that they capture many of the main statistical properties of financial time series in an effective way. The goal of this thesis is to present two multifractal models, the Multifractal Model of Asset Returns and the Markov-Switching Multifractal, and to study them in a more complete and rigorous way than in the literature.
dc.description.sponsorshipUtrecht University
dc.format.extent726746 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleMultifractal Finance
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuStochastics and Financial Mathematics


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