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dc.contributor.authorLeövey, Andrés E.
dc.contributor.authorLux, Thomas
dc.date.accessioned2013-05-06T17:51:35Z
dc.date.available2013-05-06T17:51:35Z
dc.date.issued2012
dc.identifier.issn1539-3755
dc.identifier.issn1550-2376
dc.identifier.urihttp://hdl.handle.net/10234/62576
dc.descriptionWe study the well-known multiplicative log-normal cascade process in which the multiplication of Gaussian and log normally distributed random variables yields time series with intermittent bursts of activity. Due to the nonstationarity of this process and the combinatorial nature of such a formalism, its parameters have been estimated mostly by fitting the numerical approximation of the associated non-Gaussian probability density function to empirical data, cf. Castaing et al. [Physica D 46, 177 (1990)]. More recently, alternative estimators based upon various moments have been proposed by Beck [Physica D 193, 195 (2004)] and Kiyono et al. [Phys. Rev. E 76, 041113 (2007)]. In this paper, we pursue this moment-based approach further and develop a more rigorous generalized method of moments (GMM) estimation procedure to cope with the documented difficulties of previous methodologies. We show that even under uncertainty about the actual number of cascade steps, our methodology yields very reliable results for the estimated intermittency parameter. Employing the Levinson-Durbin algorithm for best linear forecasts, we also show that estimated parameters can be used for forecasting the evolution of the turbulent flow. We compare forecasting results from the GMM and Kiyono et al.’s procedure via Monte Carlo simulations.We finally test the applicability of our approach by estimating the intermittency parameter and forecasting of volatility for a sample of financial data from stock and foreign exchange markets.ca_CA
dc.format.extent14 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherAmerican Physical Societyca_CA
dc.relation.isPartOfPhysical Review E, Volume 85, Issue 4, Aprilca_CA
dc.rights©2012 American Physical Societyca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.titleParameter estimation and forecasting for multiplicative log-normal cascadesca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1103/PhysRevE.85.046114
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersion


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