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Acknowledgments of Value at Risk on financial markets through
agent-based modeling. International Journal of
None. Knowledge-based and Intelligent Engineering Sys-
tems, 17(4), 257-266. https://doi.org/10.323
Funding 3/KES-130276
[9] Zheng, Z., Qiao, Z., Takaishi, T., Stanley, H.
None. E., & Li, B. (2014). Realized volatility and ab-
solute return volatility: A comparison indicating
market risk. PLOS ONE, 9(7), e102940. https:
Conflict of interest
//doi.org/10.1371/journal.pone.0102940
[10] Huang, S., Liu, N., & Wang, Z. (2023). Empiri-
The author declares no conflict of interest.
cal analysis of SSE 50 index volatility based on
GARCH model. Fluctuation and Noise Letters,
Author contributions 24(4), 2440010. https://doi.org/10.1142/S0
219477524400108
Conceptualization: All authors
[11] Su, Z., Fang, T., & Yin, L. (2018). Does NVIX
Formal analysis: All authors matter for market volatility? Evidence from Asia-
Methodology: All authors Pacific markets. Physica A: Statistical Mechan-
Writing – original draft: All authors ics and Its Applications, 492, 506–516. https:
Writing – review & editing: All authors //doi.org/10.1016/j.physa.2017.10.025.
[12] Gabriel, V. (2015). Sensitivity, persistence and
Availability of data asymmetric effects in international stock market
volatility during the global financial crisis. Revista
All the data is included in the paper. de M´etodos Cuantitativos para la Econom´ıa y la
Empresa, 16, 42–65.
[13] Bhansali, V., & Harris, L. (2018). Everybody’s
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