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The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic
16 references·11 citing·32 second hop
The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic (2020)The role of the IDEMV in predicting Europ…Which sentiment index is more informative to forecast stock market volatility? Evidence from China (2020)Which sentiment index is more…What the stock market tells us about the post-COVID-19 world (2020)What the stock market tells u…The Unprecedented Stock Market Impact of COVID-19 (2020)The Unprecedented Stock Marke…The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies (2020)The contagion effects of the …Stock markets’ reaction to COVID-19: Cases or fatalities? (2020)Stock markets’ reaction to CO…Financial markets under the global pandemic of COVID-19 (2020)Financial markets under the g…COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach (2020)COVID-19 pandemic, oil prices…COVID-19 and finance: Agendas for future research (2020)COVID-19 and finance: Agendas…Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks (2019)Harnessing jump component for…The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market (2018)The incremental information c…Forecasting the good and bad uncertainties of crude oil prices using a HAR framework (2017)Forecasting the good and bad …Forecasting the volatility of crude oil futures using HAR-type models with structural breaks (2016)Forecasting the volatility of…Forecasting crude oil market volatility: Further evidence using GARCH-class models (2010)Forecasting crude oil market …A Simple Approximate Long-Memory Model of Realized Volatility (2008)A Simple Approximate Long-Mem…Modeling and Forecasting Realized Volatility (2003)Modeling and Forecasting Real…Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)Answering the Skeptics: Yes, …The role of sudden variance shifts in predicting volatility in bioenergy crop markets under structural breaks (2024)The role of sudden variance s…Economic policy uncertainty, geopolitical risk, market sentiment, and regional stocks: asymmetric analyses of the EU sectors (2023)Economic policy uncertainty, …Research on the impact of green finance on carbon emissions: evidence from China (2022)Research on the impact of gre…Forecasting stock market volatility with a large number of predictors: New evidence from the MS-MIDAS-LASSO model (2022)Forecasting stock market vola…COVID-19 related stringencies and financial market volatility: sectoral evidence from India (2022)COVID-19 related stringencies…Response of stock market volatility to COVID-19 announcements and stringency measures: A comparison of developed and emerging markets (2021)Response of stock market vola…Is investor sentiment stronger than VIX and uncertainty indices in predicting energy volatility? (2021)Is investor sentiment stronge…Gold and US sectoral stocks during COVID-19 pandemic (2021)Gold and US sectoral stocks d…Forecasting stock market volatility using commodity futures volatility information (2021)Forecasting stock market vola…Forecasting China's crude oil futures volatility: New evidence from the MIDAS-RV model and COVID-19 pandemic (2021)Forecasting China's crude oil…Economic resiliency and recovery, lessons from the financial crisis for the COVID-19 pandemic: A regional perspective from Central and Eastern Europe (2021)Economic resiliency and recov…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)A novel hybrid method for crude oil price forecasting (2015)Forecasting oil price realized volatility using information channels from other asset classes (2017)Geopolitical risk and oil volatility: A new insight (2019)The Behavior of Stock-Market Prices (1965)The Cross‐Section of Volatility and Expected Returns (2006)Introductory Econometrics for Finance (2008)A long memory property of stock market returns and a new model (1993)Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (2007)Tails, Fears, and Risk Premia (2011)Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks (2022)COVID-19 and the march 2020 stock market crash. Evidence from S&P1500 (2020)Feverish Stock Price Reactions to COVID-19* (2020)Infected Markets: Novel Coronavirus, Government Interventions, and Stock Return Volatility around the Globe (2020)Return connectedness across asset classes around the COVID-19 outbreak (2020)A STATE‐PREFERENCE MODEL OF OPTIMAL FINANCIAL LEVERAGE (1973)Safe haven or risky hazard? Bitcoin during the Covid-19 bear market (2020)Dynamic Conditional Correlation (2002)On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? (2016)Measuring Economic Policy Uncertainty* (2016)COVID-Induced Economic Uncertainty (2020)Cultures and Organizations: Software of the Mind. (1993)Econometric Analysis of Cross Section and Panel Data (2001)COVID-19 and stock market volatility: An industry level analysis (2020)COVID-19 and the United States financial markets’ volatility (2020)Econometric Analysis of Panel Data (2021)Coherent Measures of Risk (1999)On the network topology of variance decompositions: Measuring the connectedness of financial firms (2014)Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets (2020)Financial contagion during COVID–19 crisis (2020)
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  • 2003Modeling and Forecasting Realized Volatility3,887 cited
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  • 2020Financial markets under the global pandemic of COVID-192,349 cited
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  • 2020COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach1,488 cited
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  • 2019Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks

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182 cited
  • 2020What the stock market tells us about the post-COVID-19 world173 cited
  • 2020Which sentiment index is more informative to forecast stock market volatility? Evidence from China163 cited
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    • 2021Economic resiliency and recovery, lessons from the financial crisis for the COVID-19 pandemic: A regional perspective from Central and Eastern Europe125 cited
    • 2021Response of stock market volatility to COVID-19 announcements and stringency measures: A comparison of developed and emerging markets94 cited
    • 2021Is investor sentiment stronger than VIX and uncertainty indices in predicting energy volatility?74 cited
    • 2023Economic policy uncertainty, geopolitical risk, market sentiment, and regional stocks: asymmetric analyses of the EU sectors67 cited
    • 2021Gold and US sectoral stocks during COVID-19 pandemic58 cited
    • 2022Forecasting stock market volatility with a large number of predictors: New evidence from the MS-MIDAS-LASSO model49 cited
    • 2024The role of sudden variance shifts in predicting volatility in bioenergy crop markets under structural breaks43 cited
    • 2021Forecasting China's crude oil futures volatility: New evidence from the MIDAS-RV model and COVID-19 pandemic28 cited
    • 2022COVID-19 related stringencies and financial market volatility: sectoral evidence from India26 cited
    • 2021Forecasting stock market volatility using commodity futures volatility information24 cited