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Forecasting the oil futures price volatility: A new approach
16 references·4 citing·35 second hopsampled
Forecasting the oil futures price volatility: A new approach (2017)Forecasting the oil futures price volatil…Threshold bipower variation and the impact of jumps on volatility forecasting (2010)Threshold bipower variation a…International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models (2010)International evidence on cru…Forecasting crude oil market volatility: Further evidence using GARCH-class models (2010)Forecasting crude oil market …The Volatility of Realized Volatility (2008)The Volatility of Realized Vo…Realized Volatility: A Review (2008)Realized Volatility: A ReviewMicrostructure Noise, Realized Variance, and Optimal Sampling (2008)Microstructure Noise, Realize…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…Measuring volatility with the realized range (2006)Measuring volatility with the…Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements (2005)Forecasting daily variability…A forecast comparison of volatility models: does anything beat a GARCH(1,1)? (2005)A forecast comparison of vola…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, …Modeling and pricing long memory in stock market volatility (1996)Modeling and pricing long mem…Fractionally integrated generalized autoregressive conditional heteroskedasticity (1996)Fractionally integrated gener…On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter? (2022)Probability density forecasts…The forecasting power of EPU for crude oil return volatility (2019)The forecasting power of EPU …Forecasting the Chinese stock volatility across global stock markets (2019)Forecasting the Chinese stock…Forecasting the realized volatility of the Chinese stock market: Do the G7 stock markets help? (2018)Forecasting the realized vola…Multivariate GARCH models: a surveyAutoregressive 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 Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market (1984)Continuous Martingales and Brownian Motion (1999)Parametric and Nonparametric Volatility Measurement (2010)Multivariate realised kernels: Consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading (2011)Exploiting the errors: A simple approach for improved volatility forecasting (2015)The Behavior of Stock-Market Prices (1965)Introductory Econometrics for Finance (2008)The Pricing of Options and Corporate Liabilities (1973)5 Stochastic volatility (1996)Forecasting Volatility in Financial Markets: A Review (2003)Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance (2018)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)Comparing Predictive Accuracy (1994)Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns (2006)Volatility forecast comparison using imperfect volatility proxies (2010)Transform Analysis and Asset Pricing for Affine Jump-diffusions (2000)The distribution of realized stock return volatility (2001)Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling (2012)Jump-robust volatility estimation using nearest neighbor truncation (2012)The impact of sentiment and attention measures on stock market volatility (2019)Option pricing when underlying stock returns are discontinuous (1976)Expected Stock Returns and Variance Risk Premia (2009)The VIX, the variance premium and stock market volatility (2014)Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility (2015)ARCH modeling in finance (1992)The Cross‐Section of Volatility and Expected Returns (2006)
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References

  • 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks9,041 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
  • 1996Fractionally integrated generalized autoregressive conditional heteroskedasticity2,290 cited
  • 2005A forecast comparison of volatility models: does anything beat a GARCH(1,1)?1,783 cited
  • 2007Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility1,448 cited
  • 1996Modeling and pricing long memory in stock market volatility1,208 cited
  • 2008Microstructure Noise, Realized Variance, and Optimal Sampling598 cited
  • 2010Threshold bipower variation and the impact of jumps on volatility forecasting561 cited
  • 2005Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements551 cited
  • 2008Realized Volatility: A Review517 cited
  • 2008The Volatility of Realized Volatility421 cited
  • 2010Forecasting crude oil market volatility: Further evidence using GARCH-class models374 cited

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  • 2010International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models346 cited
  • 2006Measuring volatility with the realized range326 cited
  • Cited by

    • 2019The forecasting power of EPU for crude oil return volatility76 cited
    • 2022Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter?36 cited
    • 2018Forecasting the realized volatility of the Chinese stock market: Do the G7 stock markets help?31 cited
    • 2019Forecasting the Chinese stock volatility across global stock markets27 cited