Forbidden patterns, permutation entropy and stock market inefficiency
In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is pos...
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todo:paper_03784371_v388_n14_p2854_Zunino2023-10-03T15:32:54Z Forbidden patterns, permutation entropy and stock market inefficiency Zunino, L. Zanin, M. Tabak, B.M. Pérez, D.G. Rosso, O.A. Forbidden patterns Permutation entropy Stock market inefficiency Empirical results Forbidden patterns Permutation entropy Physical tools Stock market inefficiency Entropy Commerce In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented. © 2009 Elsevier B.V. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03784371_v388_n14_p2854_Zunino |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Forbidden patterns Permutation entropy Stock market inefficiency Empirical results Forbidden patterns Permutation entropy Physical tools Stock market inefficiency Entropy Commerce |
spellingShingle |
Forbidden patterns Permutation entropy Stock market inefficiency Empirical results Forbidden patterns Permutation entropy Physical tools Stock market inefficiency Entropy Commerce Zunino, L. Zanin, M. Tabak, B.M. Pérez, D.G. Rosso, O.A. Forbidden patterns, permutation entropy and stock market inefficiency |
topic_facet |
Forbidden patterns Permutation entropy Stock market inefficiency Empirical results Forbidden patterns Permutation entropy Physical tools Stock market inefficiency Entropy Commerce |
description |
In this paper we introduce two new quantifiers for the stock market inefficiency: the number of forbidden patterns and the normalized permutation entropy. They are model-independent measures, thus they have more general applicability. We find robust evidence that degree of market inefficiency is positively correlated with the number of forbidden patterns and negatively correlated with the permutation entropy. Our empirical results suggest that these two physical tools are useful to discriminate the stage of stock market development and can be easily implemented. © 2009 Elsevier B.V. All rights reserved. |
format |
JOUR |
author |
Zunino, L. Zanin, M. Tabak, B.M. Pérez, D.G. Rosso, O.A. |
author_facet |
Zunino, L. Zanin, M. Tabak, B.M. Pérez, D.G. Rosso, O.A. |
author_sort |
Zunino, L. |
title |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_short |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_full |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_fullStr |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_full_unstemmed |
Forbidden patterns, permutation entropy and stock market inefficiency |
title_sort |
forbidden patterns, permutation entropy and stock market inefficiency |
url |
http://hdl.handle.net/20.500.12110/paper_03784371_v388_n14_p2854_Zunino |
work_keys_str_mv |
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1782025883034320896 |