The Impact of Events on Long-Term Persistence of Global Stock Markets: Evidence from the CSI 300, HSI, and S&P 500
- DOI
- 10.2991/978-94-6463-724-3_10How to use a DOI?
- Keywords
- Long-term behavior; Long memory; Structural breaks; ARFIMA
- Abstract
This study takes the daily return series of the CSI 300 Index, HSI, and S&P 500 Index as the research object, investigating the changes in the long-term behavior persistence of global stock markets in response to major events. Using the ARFIMA model to estimate long-memory parameters and the Bai-Perron method to detect structural breaks, the results shows that long memory increases during periods of structural breaks, indicating reduced market efficiency. Further analysis reveals that the changes in the long-term behavior of global stock markets are not independent but are characterized by significant cross-market linkages. Specifically, major shocks such as financial crises, policy adjustments, natural disasters, and public health events not only induce structural breaks in individual markets but also lead to synchronized movements in global stock markets.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Bu Chen AU - Shan Wang AU - Lu Deng PY - 2025 DA - 2025/05/26 TI - The Impact of Events on Long-Term Persistence of Global Stock Markets: Evidence from the CSI 300, HSI, and S&P 500 BT - Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025) PB - Atlantis Press SP - 95 EP - 101 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-724-3_10 DO - 10.2991/978-94-6463-724-3_10 ID - Chen2025 ER -