Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/6084

Title: Entropic information theory applied to uncertainty in financial markets
Authors: Dionísio, Andreia
Menezes, Rui
Mendes, Diana
Editors: Dionísio, Andreia
Heitor Reis, António
Namorado Rosa, Rui
Keywords: Entropy
Mutual Information
Uncertainty
Financial Markets
Issue Date: 2006
Publisher: Universidade de Évora
Citation: Dionísio, 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.
Abstract: One 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.
URI: http://hdl.handle.net/10174/6084
ISBN: 244676/06
Type: article
Appears in Collections:CEFAGE - Artigos em Livros de Actas/Proceedings

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