Exogenous and endogenous factors affecting stock market transactions: A Hawkes process analysis of the Tokyo Stock Exchange during the COVID-19 pandemic.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 26 10 2023
accepted: 17 03 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 17 4 2024
Statut: epublish

Résumé

Transactions in financial markets are not evenly spaced but can be concentrated within a short period of time. In this study, we investigated the factors that determine the transaction frequency in financial markets. Specifically, we employed the Hawkes process model to identify exogenous and endogenous forces governing transactions of individual stocks in the Tokyo Stock Exchange during the COVID-19 pandemic. To enhance the accuracy of our analysis, we introduced a novel EM algorithm for the estimation of exogenous and endogenous factors that specifically addresses the interdependence of the values of these factors over time. We detected a substantial change in the transaction frequency in response to policy change announcements. Moreover, there is significant heterogeneity in the transaction frequency among individual stocks. We also found a tendency where stocks with high market capitalization tend to significantly respond to external news, while their excitation relationship between transactions is weak. This suggests the capability of quantifying the market state from the viewpoint of the exogenous and endogenous factors generating transactions for various stocks.

Identifiants

pubmed: 38630780
doi: 10.1371/journal.pone.0301462
pii: PONE-D-23-35223
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0301462

Informations de copyright

Copyright: © 2024 Ito et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Mariko I Ito (MI)

Center for Social Complex Systems, Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, Japan.

Yudai Honma (Y)

Center for Social Complex Systems, Institute of Industrial Science, The University of Tokyo, Meguro-ku, Tokyo, Japan.

Takaaki Ohnishi (T)

Graduate School of Artificial Intelligence and Science, Rikkyo University, Toshima-ku, Tokyo, Japan.

Tsutomu Watanabe (T)

Graduate School of Economics, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.

Kazuyuki Aihara (K)

International Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.

Classifications MeSH