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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8947691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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