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Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks
16 references·16 citing·33 second hopsampled
Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks (2019)Harnessing jump component for crude oil v…Modeling financial contagion using mutually exciting jump processes (2015)Modeling financial contagion …Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility (2015)Good Volatility, Bad Volatili…THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET* (2009)THE IMPACT OF OIL PRICE SHOCK…Realized kernels in practice: trades and quotes (2009)Realized kernels in practice:…Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise (2008)Designing Realized Kernels to…A Simple Approximate Long-Memory Model of Realized Volatility (2008)A Simple Approximate Long-Mem…Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility (2007)Roughing It Up: Including Jum…MIDAS Regressions: Further Results and New Directions (2007)MIDAS Regressions: Further Re…The Relative Contribution of Jumps to Total Price Variance (2005)The Relative Contribution of …Predicting volatility: getting the most out of return data sampled at different frequencies (2005)Predicting volatility: gettin…Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation (2005)Econometrics of Testing for J…Power and Bipower Variation with Stochastic Volatility and Jumps (2004)Power and Bipower Variation w…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, …Comparing Predictive Accuracy (1995)Comparing Predictive AccuracyComparing Predictive Accuracy (1994)Comparing Predictive AccuracyForecasting crude oil futures price using machine learning methods: Evidence from China (2023)Forecasting crude oil futures…Volatility of clean energy and natural gas, uncertainty indices, and global economic conditions (2022)Volatility of clean energy an…Geopolitical risk and oil price volatility: Evidence from Markov-switching model (2022)Geopolitical risk and oil pri…Forecasting crude oil volatility with uncertainty indicators: New evidence (2022)Forecasting crude oil volatil…Forecasting crude oil market volatility using variable selection and common factor (2022)Forecasting crude oil market …Global equity market volatilities forecasting: A comparison of leverage effects, jumps, and overnight information (2021)Global equity market volatili…Which sentiment index is more informative to forecast stock market volatility? Evidence from China (2020)Which sentiment index is more…Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU? (2020)Which popular predictor is mo…The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic (2020)The role of the IDEMV in pred…The role of oil futures intraday information on predicting US stock market volatility (2020)The role of oil futures intra…Nonlinear dynamic correlation between geopolitical risk and oil prices: A study based on high-frequency data (2020)Nonlinear dynamic correlation…Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin (2020)Impact of macroeconomic news,…Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models (2019)Geopolitical risk uncertainty…Geopolitical risk and oil volatility: A new insight (2019)Geopolitical risk and oil vol…Forecasting stock price volatility: New evidence from the GARCH-MIDAS model (2019)Forecasting stock price volat…Economic policy uncertainty and the Chinese stock market volatility: Novel evidence (2019)Economic policy uncertainty a…Stock Returns, Real Activity, Inflation, and Money (1981)What is an Oil Shock? (2000)Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market (2009)Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries (2011)THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUDE OIL (2013)Oil prices, US stock return, and the dependence between their quantiles (2015)Option pricing when underlying stock returns are discontinuous (1976)A Theory of the Term Structure of Interest Rates (1985)A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Realized Variance and Market Microstructure Noise (2006)The Behavior of Stock-Market Prices (1965)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)The Cross‐Section of Volatility and Expected Returns (2006)Introductory Econometrics for Finance (2008)Expected stock returns and volatility (1987)Continuous Martingales and Brownian Motion (1999)Stochastic Integration and Differential Equations (2005)Microstructure noise in the continuous case: The pre-averaging approach (2008)Realized GARCH: a joint model for returns and realized measures of volatility (2011)Specification Tests in Econometrics (1978)A long memory property of stock market returns and a new model (1993)Tails, Fears, and Risk Premia (2011)Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks (2022)Coherent Measures of Risk (1999)On the network topology of variance decompositions: Measuring the connectedness of financial firms (2014)A Comprehensive Look at The Empirical Performance of Equity Premium Prediction (2007)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Expected Stock Returns and Variance Risk Premia (2009)The VIX, the variance premium and stock market volatility (2014)Testing the equality of prediction mean squared errors (1997)Consumption, Aggregate Wealth, and Expected Stock Returns (2001)Deep learning with long short-term memory networks for financial market predictions (2017)
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References

  • 1994Comparing Predictive Accuracy5,495 cited
  • 1995Comparing Predictive Accuracy5,214 cited
  • 2003Modeling and Forecasting Realized Volatility3,887 cited
  • 1998Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts3,380 cited
  • 2008A Simple Approximate Long-Memory Model of Realized Volatility2,526 cited
  • 2004Power and Bipower Variation with Stochastic Volatility and Jumps2,033 cited
  • 2009THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET*1,837 cited
  • 2007Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility1,448 cited
  • 2005Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation1,346 cited
  • 2008Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise1,232 cited
  • 2007MIDAS Regressions: Further Results and New Directions1,003 cited
  • 2005The Relative Contribution of Jumps to Total Price Variance890 cited
  • 2005Predicting volatility: getting the most out of return data sampled at different frequencies813 cited
  • 2015Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility772 cited
  • 2009Realized kernels in practice: trades and quotes

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642 cited
  • 2015Modeling financial contagion using mutually exciting jump processes576 cited
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    • 2020Which sentiment index is more informative to forecast stock market volatility? Evidence from China163 cited
    • 2020Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin136 cited
    • 2020Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?133 cited
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    • 2022Geopolitical risk and oil price volatility: Evidence from Markov-switching model102 cited
    • 2020The role of oil futures intraday information on predicting US stock market volatility98 cited
    • 2023Forecasting crude oil futures price using machine learning methods: Evidence from China84 cited
    • 2020The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic83 cited
    • 2021Global equity market volatilities forecasting: A comparison of leverage effects, jumps, and overnight information82 cited
    • 2020Nonlinear dynamic correlation between geopolitical risk and oil prices: A study based on high-frequency data82 cited
    • 2022Forecasting crude oil volatility with uncertainty indicators: New evidence81 cited