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Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers

Fernández Bariviera, Aurelio et al · RI ITBA · 2022

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"This paper analyzes the informational efficiency of oil market during the last three decades, and examines changes in informational efficiency with major geopolitical events, such as terrorist attacks, financial crisis and other important events. The series under study is the daily prices of West Texas Intermediate (WTI) in USD/BBL, commonly used as a benchmark in oil pricing. The analysis is performed using information-theory-derived quantifiers, namely permutation entropy and permutation statistical complexity. These metrics allow capturing the hidden structure in the market dynamics, and allow discriminating different degrees of informational efficiency. We find that some geopolitical events impact on the underlying dynamical structure of the market."

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APA 7

Fernández Bariviera, A. E. A. (2022). Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers. http://ri.itba.edu.ar/handle/20.500.14769/3873

MLA

Fernández Bariviera, Aurelio et al. "Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers." 2022. http://ri.itba.edu.ar/handle/20.500.14769/3873.

Chicago

Fernández Bariviera, Aurelio et al. 2022. "Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers.". http://ri.itba.edu.ar/handle/20.500.14769/3873.

Harvard

Fernández Bariviera, A. E. A. 2022, Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/3873 [Accessed 7 Aug. 2026].

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Titolo
Crude oil market and geopolitical events: an analysis based on information-theory-based quantifiers
Autore / collaboratori
Fernández Bariviera, Aurelio et al
Editore
RI ITBA
Anno di pubblicazione
2022
ISSN
1136-0593
ISSN
1136-0593
Lingua
Inglés

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