Entropic information theory applied to uncertainty in financial markets

dc.contributor.authorDionísio, Andreia
dc.contributor.authorMenezes, Rui
dc.contributor.authorMendes, Diana
dc.contributor.editorDionísio, Andreia
dc.contributor.editorHeitor Reis, António
dc.contributor.editorNamorado Rosa, Rui
dc.date.accessioned2012-11-29T11:56:37Z
dc.date.available2012-11-29T11:56:37Z
dc.date.issued2006
dc.description.abstractOne of the most popular concepts used to measure the risk and the uncertainty is the variance and/or the standard-deviation. In this paper we explore the potentialities of the entropy as a measure of uncertainty in financial markets, and simultaneously verify if this measure take into account some basic assumptions of the portfolio management theory, namely the effect of diversification.por
dc.identifier.authoremailandreia@uevora.pt
dc.identifier.authoremailrui.menezes@iscte.pt
dc.identifier.authoremaildiana.mendes@iscte.pt
dc.identifier.citationDionísio, A., Menezes, R. e Mendes, D. (2006.) Entropic information theory applied to uncertainty in financial markets in Proceedings of the Workshop Perspectives on Econophysics, editado por Andreia Dionísio, A. Heitor Reis e Rui N. Rosa, Universidade de Évora.por
dc.identifier.isbn244676/06
dc.identifier.scientificarea637por
dc.identifier.urihttp://hdl.handle.net/10174/6084
dc.language.isoporpor
dc.peerreviewedyespor
dc.publisherUniversidade de Évorapor
dc.rightsopenAccesspor
dc.subjectEntropypor
dc.subjectMutual Informationpor
dc.subjectUncertaintypor
dc.subjectFinancial Marketspor
dc.titleEntropic information theory applied to uncertainty in financial marketspor
dc.typearticlepor
degois.publication.firstPage23por
degois.publication.lastPage34por
degois.publication.locationUniversidade de Évorapor
degois.publication.titlePerspectives on Econophysicspor

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