Connectedness of International Stock Market at Major Public Events: Empirical Study via Dynamic Time Warping-Based Network

Autor: Kelong Li, Chi Xie, Yingbo Ouyang, Tingcheng Mo, Zhijian Zeng
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Complexity, Vol 2023 (2023)
Druh dokumentu: article
ISSN: 1099-0526
DOI: 10.1155/2023/3172181
Popis: Several public events have drawn renewed attention to the connectedness of the international stock market since the financial crisis of 2008. We investigate systemic and regional connectedness among stock markets around the world at major public events by constructing correlation networks for 46 markets based on the dynamic time-warping method. We find that (i) geographic regionalization is typically observed in the stock market network, in which France is dominant, (ii) Europe has the greatest and the Middle East and Africa the least within-region connectedness, (iii) the correlation network structure is highly integrated and compact at major public events, and global events influence the international stock market more significantly than regional events do, and (iv) the importance of China reaches its peak during the era of Sino-US trade friction, showing that public events have enormous impacts on the countries involved.
Databáze: Directory of Open Access Journals