Mutual Information between Order Book Layers.

deep layers of order book entropy entropy estimation limit order book mutual information mutual information estimation price and volume recursive copula

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
27 Feb 2022
Historique:
received: 19 01 2022
revised: 21 02 2022
accepted: 24 02 2022
entrez: 25 3 2022
pubmed: 26 3 2022
medline: 26 3 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35327853
pii: e24030343
doi: 10.3390/e24030343
pmc: PMC8947691
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Sci Rep. 2019 Jul 25;9(1):10832
pubmed: 31346204
PLoS One. 2018 Apr 18;13(4):e0195941
pubmed: 29668715
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 May;89(5):052801
pubmed: 25353838
Front Artif Intell. 2021 May 11;4:667780
pubmed: 34046586
Entropy (Basel). 2020 Feb 19;22(2):
pubmed: 33286010

Auteurs

Daniel Libman (D)

Department of Mathematics, Bar-Ilan University, Ramat Gan 5290002, Israel.

Gil Ariel (G)

Department of Mathematics, Bar-Ilan University, Ramat Gan 5290002, Israel.

Mary Schaps (M)

Department of Mathematics, Bar-Ilan University, Ramat Gan 5290002, Israel.

Simi Haber (S)

Department of Mathematics, Bar-Ilan University, Ramat Gan 5290002, Israel.

Classifications MeSH