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 Journal of Statistics and Management Systems cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Open Access Research Article

The impact of COVID-19 on value-at-risk estimations for US and China stock markets

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* Corresponding author · click or hover a name for details

pp. 1453–1472Vol. 27Issue 7October 2024DOI: 10.47974/JSMS-1232XML
Received:
13 Jun 2023
Published Online:
30 Nov 2024
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1232
Pages:
1453–1472

Abstract

This study seeks to assess the influence of the COVID-19 pandemic on market risk in two global financial stock markets. Employing four value-at-risk methodologies, we analyze and compare market risks before and during the pandemic. These methodologies encompass the normal distribution assumption method, historical simulation, exponential weighted moving average (EWMA) method, and the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach. The GARCH approach incorporates auto-selection procedures to identify the optimal ARIMA-GARCH model. The quantified value-at-risk serves as a measure of the pandemic’s impact severity on both financial stock markets.

Keywords

Subject Classifications

91B2537M10

References

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