Economics and Finance: q-Statistical Stylized Features Galore

The Boltzmann–Gibbs (BG) entropy and its associated statistical mechanics were generalized, three decades ago, on the basis of the nonadditive entropy S q ( q ∈ R ), which recovers the BG entropy in the q → 1 limit. The optimization of S q under appropriate simple const...

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Main Author: Constantino Tsallis
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/19/9/457
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author Constantino Tsallis
author_facet Constantino Tsallis
author_sort Constantino Tsallis
collection DOAJ
description The Boltzmann–Gibbs (BG) entropy and its associated statistical mechanics were generalized, three decades ago, on the basis of the nonadditive entropy S q ( q ∈ R ), which recovers the BG entropy in the q → 1 limit. The optimization of S q under appropriate simple constraints straightforwardly yields the so-called q-exponential and q-Gaussian distributions, respectively generalizing the exponential and Gaussian ones, recovered for q = 1 . These generalized functions ubiquitously emerge in complex systems, especially as economic and financial stylized features. These include price returns and volumes distributions, inter-occurrence times, characterization of wealth distributions and associated inequalities, among others. Here, we briefly review the basic concepts of this q-statistical generalization and focus on its rapidly growing applications in economics and finance.
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spelling doaj.art-2b134825b2714ef8afa7c75738634d662022-12-22T04:01:48ZengMDPI AGEntropy1099-43002017-08-0119945710.3390/e19090457e19090457Economics and Finance: q-Statistical Stylized Features GaloreConstantino Tsallis0Centro Brasileiro de Pesquisas Físicas and National Institute of Science and Technology for Complex Systems, Rua Xavier Sigaud 150, Urca, Rio de Janeiro 22290-180, BrazilThe Boltzmann–Gibbs (BG) entropy and its associated statistical mechanics were generalized, three decades ago, on the basis of the nonadditive entropy S q ( q ∈ R ), which recovers the BG entropy in the q → 1 limit. The optimization of S q under appropriate simple constraints straightforwardly yields the so-called q-exponential and q-Gaussian distributions, respectively generalizing the exponential and Gaussian ones, recovered for q = 1 . These generalized functions ubiquitously emerge in complex systems, especially as economic and financial stylized features. These include price returns and volumes distributions, inter-occurrence times, characterization of wealth distributions and associated inequalities, among others. Here, we briefly review the basic concepts of this q-statistical generalization and focus on its rapidly growing applications in economics and finance.https://www.mdpi.com/1099-4300/19/9/457economics and financenonadditive entropiesnonextensive statistical mechanics
spellingShingle Constantino Tsallis
Economics and Finance: q-Statistical Stylized Features Galore
Entropy
economics and finance
nonadditive entropies
nonextensive statistical mechanics
title Economics and Finance: q-Statistical Stylized Features Galore
title_full Economics and Finance: q-Statistical Stylized Features Galore
title_fullStr Economics and Finance: q-Statistical Stylized Features Galore
title_full_unstemmed Economics and Finance: q-Statistical Stylized Features Galore
title_short Economics and Finance: q-Statistical Stylized Features Galore
title_sort economics and finance q statistical stylized features galore
topic economics and finance
nonadditive entropies
nonextensive statistical mechanics
url https://www.mdpi.com/1099-4300/19/9/457
work_keys_str_mv AT constantinotsallis economicsandfinanceqstatisticalstylizedfeaturesgalore