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Mutual Information between Order Book Layers

The order book is a list of all current buy or sell orders for a given financial security. The rise of electronic stock exchanges introduced a debate about the relevance of the information it encapsulates of the activity of traders. Here, we approach this topic from a theoretical perspective, estima...

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Detalles Bibliográficos
Autores principales: Libman, Daniel, Ariel, Gil, Schaps, Mary, Haber, Simi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947691/
https://www.ncbi.nlm.nih.gov/pubmed/35327853
http://dx.doi.org/10.3390/e24030343
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author Libman, Daniel
Ariel, Gil
Schaps, Mary
Haber, Simi
author_facet Libman, Daniel
Ariel, Gil
Schaps, Mary
Haber, Simi
author_sort Libman, Daniel
collection PubMed
description The order book is a list of all current buy or sell orders for a given financial security. The rise of electronic stock exchanges introduced a debate about the relevance of the information it encapsulates of the activity of traders. Here, we approach this topic from a theoretical perspective, estimating the amount of mutual information between order book layers, i.e., different buy/sell layers, which are aggregated by buy/sell orders. We show that (i) layers are not independent (in the sense that the mutual information is statistically larger than zero), (ii) the mutual information between layers is small (compared to the joint entropy), and (iii) the mutual information between layers increases when comparing the uppermost layers to the deepest layers analyzed (i.e., further away from the market price). Our findings, and our method for estimating mutual information, are relevant to developing trading strategies that attempt to utilize the information content of the limit order book.
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spelling pubmed-89476912022-03-25 Mutual Information between Order Book Layers Libman, Daniel Ariel, Gil Schaps, Mary Haber, Simi Entropy (Basel) Article The order book is a list of all current buy or sell orders for a given financial security. The rise of electronic stock exchanges introduced a debate about the relevance of the information it encapsulates of the activity of traders. Here, we approach this topic from a theoretical perspective, estimating the amount of mutual information between order book layers, i.e., different buy/sell layers, which are aggregated by buy/sell orders. We show that (i) layers are not independent (in the sense that the mutual information is statistically larger than zero), (ii) the mutual information between layers is small (compared to the joint entropy), and (iii) the mutual information between layers increases when comparing the uppermost layers to the deepest layers analyzed (i.e., further away from the market price). Our findings, and our method for estimating mutual information, are relevant to developing trading strategies that attempt to utilize the information content of the limit order book. MDPI 2022-02-27 /pmc/articles/PMC8947691/ /pubmed/35327853 http://dx.doi.org/10.3390/e24030343 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Libman, Daniel
Ariel, Gil
Schaps, Mary
Haber, Simi
Mutual Information between Order Book Layers
title Mutual Information between Order Book Layers
title_full Mutual Information between Order Book Layers
title_fullStr Mutual Information between Order Book Layers
title_full_unstemmed Mutual Information between Order Book Layers
title_short Mutual Information between Order Book Layers
title_sort mutual information between order book layers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947691/
https://www.ncbi.nlm.nih.gov/pubmed/35327853
http://dx.doi.org/10.3390/e24030343
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