4.7 Article

Backtesting VaR under the COVID-19 sudden changes in volatility

Journal

FINANCE RESEARCH LETTERS
Volume 43, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.frl.2021.102024

Keywords

Backtesting; EGARCH; Monte Carlo; Skewed-t; Value-at-Risk

Funding

  1. Spanish Ministry of Economy and Competitiveness [ECO2017-87069-P]

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Our analysis of the impact of the COVID-19 pandemic on the conditional variance of stock returns suggests a significant sudden shift post the announcement of the pandemic, emphasizing the need for proper explanation to obtain reliable measures for financial risk management.
We analyze the impact of the COVID-19 pandemic on the conditional variance of stock returns. We look at this effect from a global perspective, so we employ series of major stock market and sector indices. We use the Hansen's Skewed-t distribution with EGARCH extended to control for sudden changes in volatility. We oversee the COVID-19 effect on measures of downside risk such as the Value-at-Risk. Our results show that there is a significant sudden shift up in the return distribution variance post the announcement of the pandemic, which must be explained properly to obtain reliable measures for financial risk management.

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