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dc.contributor.author
Zunino, Luciano José  
dc.contributor.author
Fernández Bariviera, Aurelio  
dc.contributor.author
Guercio, María Belén  
dc.contributor.author
Martinez, Lisana Belén  
dc.contributor.author
Rosso, Osvaldo Aníbal  
dc.date.available
2018-05-04T15:35:46Z  
dc.date.issued
2016-03  
dc.identifier.citation
Zunino, Luciano José; Fernández Bariviera, Aurelio; Guercio, María Belén; Martinez, Lisana Belén; Rosso, Osvaldo Aníbal; Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 456; 3-2016; 1-9  
dc.identifier.issn
0378-4371  
dc.identifier.uri
http://hdl.handle.net/11336/44136  
dc.description.abstract
In this paper the permutation min-entropy has been implemented to unveil the presence of temporal structures in the daily values of European corporate bond indices from April 2001 to August 2015. More precisely, the informational efficiency evolution of the prices of fifteen sectorial indices has been carefully studied by estimating this informationtheory- derived symbolic tool over a sliding time window. Such a dynamical analysis makes possible to obtain relevant conclusions about the effect that the 2008 credit crisis has had on the different European corporate bond sectors. It is found that the informational efficiency of some sectors, namely banks, financial services, insurance, andbasic resources, has been strongly reduced due to the financial crisis whereas another set of sectors, integrated by chemicals, automobiles, media, energy, construction, industrial goods & services, technology, and telecommunications has only suffered a transitory loss of efficiency. Last but not least, the food & beverage, healthcare, and utilities sectors show behavior close to a random walk practically along all the period of analysis, confirming a remarkable immunity against the 2008 financial crisis.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Informational Efficiency  
dc.subject
European Corporate Bond Markets  
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Financial Crisis  
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Long-Range Dependence  
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Permutation Min-Entropy  
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Ordinal Patterns Probabilities  
dc.subject.classification
Astronomía  
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Ciencias Físicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Monitoring the informational efficiency of European corporate bond markets with dynamical permutation min-entropy  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-05-03T14:11:59Z  
dc.journal.volume
456  
dc.journal.pagination
1-9  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Zunino, Luciano José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; Argentina  
dc.description.fil
Fil: Fernández Bariviera, Aurelio. Universitat Rovira I Virgili; España  
dc.description.fil
Fil: Guercio, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina. Provincia de Buenos Aires. Dirección General de Cultura y Educación. Universidad Provincial del Sudoeste; Argentina  
dc.description.fil
Fil: Martinez, Lisana Belén. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina. Provincia de Buenos Aires. Dirección General de Cultura y Educación. Universidad Provincial del Sudoeste; Argentina  
dc.description.fil
Fil: Rosso, Osvaldo Aníbal. Universidade Federal de Alagoas; Brasil. Instituto Tecnológico de Buenos Aires; Argentina. Universidad de los Andes; Colombia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.journal.title
Physica A: Statistical Mechanics and its Applications  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.physa.2016.03.007  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0378437116002788