Investment Management and Financial Innovations · 2021 · 21 citations · 26 references
BusinessEconomicsFinanceEconometricsFinancial EconomicsFinancial MarketsFinancial RiskMarket RiskRisk ForecastingRisk MeasurementVolatility ModelingFinancial Market VolatilityImpulse ResponseImpulse Response FunctionPrice Volatility TransmissionSystematic Risk MeasurementTime-varying Volatility ModelsVariance DecompositionVolatility
Although the coronavirus pandemic hit Europe in the early days of 2020, European stock markets had signaled fluctuations in the days before. This paper assesses the observed volatility on European stock exchanges and searches for its sources during the first four months of 2020. To investigate the issue, a panel VAR model is adopted, and the generalized impulse response function and the variance decomposition methods are used. The estimations show that about 34% of the volatility in European stock markets is due to the Chinese stock market, while 7% is due to international uncertainty, as measured by VIX. The impact of pandemic cases and deaths on European stock markets is negligible, below 1%. This means that the European stock market faced two risk elements: the first is the transmission volatility from the Chinese stock market, and the second is the international uncertainty. The findings also support the view that COVID-19 is more like a systematic risk.
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Financial markets under the global pandemic of COVID-19
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