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True and Apparent Scaling: The Proximity of the Markov- Switching Multifractal Model to Long-Range Dependence

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dc.creator Liu, Ruipeng
dc.creator Di Matteo, Tiziana
dc.creator Lux, Thomas
dc.date 2007
dc.date.accessioned 2013-10-16T06:21:30Z
dc.date.available 2013-10-16T06:21:30Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/3979
dc.identifier ppn:52714956X
dc.identifier RePEc:zbw:cauewp:5534
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/3979
dc.description In this paper, we consider daily financial data of a collection of different stock market indices, exchange rates, and interest rates, and we analyze their multi-scaling properties by estimating a simple specification of the Markov- switching multifractal model (MSM). In order to see how well the estimated models capture the temporal dependence of the data, we estimate and compare the scaling exponents H(q) (for q = 1; 2) for both empirical data and simulated data of the estimated MSM models. In most cases the multifractal model appears to generate `apparent' long memory in agreement with the empirical scaling laws.
dc.language eng
dc.publisher Institut für Volkswirtschaftslehre, Kiel
dc.relation Economics working paper / Christian-Albrechts-Universität Kiel, Department of Economics 2007,06
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject ddc:330
dc.subject Scaling
dc.subject Generalized Hurst exponent
dc.subject Multifractal model
dc.subject GMM estimation
dc.title True and Apparent Scaling: The Proximity of the Markov- Switching Multifractal Model to Long-Range Dependence
dc.type doc-type:workingPaper


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