Dynamics of hierarchical clustering in stocks market during financial crises

Nawee Jaroonchokanan, Teerasit Termsaithong and Sujin Suwanna

Physica A: Statistical Mechanics and its Applications, 2022, vol. 607, issue C

Abstract: We examine the behaviors of stocks in the Stock Exchange of Thailand (SET) during financial crises from 2008 to 2020 by using a variety of indicators such as average entropy, average correlation, and average Fisher information distance. All of these indicators increased dramatically during a financial crisis, which agreed with the Ulcer index indicating the root mean square of the percentage price drawdown. We investigate the dynamics of the hierarchical tree structure of 37 stocks in SET, using the correlation and the Fisher information distance between stocks in different time windows. The Fisher information distance is more robust, can provide earlier information, and yields a much-slower decay of signal-to-noise ratio as the averaging window size increases. As the hierarchical clustering evolves during a period of a financial crisis, its structure has lower tendency than usual to change the clusters, as evidenced by the low variation of information and anticorrelation of stocks. The dynamic hierarchical using the Fisher information distance gives less-variant clustering and can shed some insight on stock behaviors during a financial crisis.

Keywords: Fisher information; Hierarchical tree structure; Financial robustness; Variation of information (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437122007415
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:607:y:2022:i:c:s0378437122007415

DOI: 10.1016/j.physa.2022.128183

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().