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Forecasting oil futures price volatility: New evidence from realized range-based volatility
16 references·16 citing·42 second hopsampled
Forecasting oil futures price volatility: New evidence from realized range-based volatility (2018)Forecasting oil futures price volatility:…Manager sentiment and stock returns (2018)Manager sentiment and stock r…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 VIX, the variance premium and stock market volatility (2014)The VIX, the variance premium…Investor Sentiment Aligned: A Powerful Predictor of Stock Returns (2014)Investor Sentiment Aligned: A…Forecasting the Equity Risk Premium: The Role of Technical Indicators (2014)Forecasting the Equity Risk P…THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET* (2009)THE IMPACT OF OIL PRICE SHOCK…Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Out-of-Sample Equity Premium …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…Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average? (2007)Predicting Excess Stock Retur…Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy? (2007)Optimal Versus Naive Diversif…The distribution of realized stock return volatility (2001)The distribution of realized …What is an Oil Shock? (2000)What is an Oil Shock?Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)Answering the Skeptics: Yes, …Performance Hypothesis Testing with the Sharpe and Treynor Measures (1981)Performance Hypothesis Testin…What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting (2023)What can be learned from the …Oil futures volatility predictability: New evidence based on machine learning models (2022)Oil futures volatility predic…Oil shocks and stock market volatility: New evidence (2021)Oil shocks and stock market v…Oil price volatility forecasts: What do investors need to know? (2021)Oil price volatility forecast…Investors’ perspective on forecasting crude oil return volatility: Where do we stand today? (2021)Investors’ perspective on for…The skewness of oil price returns and equity premium predictability (2020)The skewness of oil price ret…On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks (2020)On realized volatility of cru…Global equity market volatility forecasting: New evidence (2020)Global equity market volatili…Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models (2020)Examining the predictive info…Cryptocurrency volatility forecasting: A Markov regime‐switching MIDAS approach (2020)Cryptocurrency volatility for…A novel hybrid approach to forecast crude oil futures using intraday data (2020)A novel hybrid approach to fo…VIX and volatility forecasting: A new insight (2019)VIX and volatility forecastin…Oil financialization and volatility forecast: Evidence from multidimensional predictors (2019)Oil financialization and vola…Futures hedging in crude oil markets: A comparison between minimum-variance and minimum-risk frameworks (2019)Futures hedging in crude oil …Forecasting oil price volatility using high-frequency data: New evidence (2019)Forecasting oil price volatil…Forecasting (downside and upside) realized exchange-rate volatility: Is there a role for realized skewness and kurtosis? (2019)Forecasting (downside and ups…Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case (1969)The Econometrics of Financial Markets (1997)The Econometrics of Financial Markets (2012)Expectations of Returns and Expected Returns (2014)Empirical Asset Pricing via Machine Learning (2020)The Behavior of Stock-Market Prices (1965)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models (2002)Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)Stock Returns, Real Activity, Inflation, and Money (1981)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)Output Fluctuations in the United States: What Has Changed since the Early 1980's?Oil and the Macroeconomy since World War II (1983)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Facts and Fantasies about Commodity Futures (2006)The Economic Effects of Energy Price Shocks (2008)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)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Tail risk premia and return predictability (2015)A Theory of Cognitive Dissonance (2017)Cryptocurrency: A New Investment Opportunity? (2017)A long memory property of stock market returns and a new model (1993)Modeling and Forecasting Realized Volatility (2003)Tails, Fears, and Risk Premia (2011)Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks (2022)PORTFOLIO SELECTION* (1952)Common risk factors in the returns on stocks and bonds (1993)On Persistence in Mutual Fund Performance (1997)Robust performance hypothesis testing with the Sharpe ratio (2008)A Generalized Approach to Portfolio Optimization: Improving Performance by Constraining Portfolio Norms (2009)Comparing Predictive Accuracy (1994)By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior (1999)Option pricing when underlying stock returns are discontinuous (1976)Expected Stock Returns and Variance Risk Premia (2009)
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References

  • 1998Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts3,380 cited
  • 2007Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy?3,193 cited
  • 2007Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?2,916 cited
  • 2008A Simple Approximate Long-Memory Model of Realized Volatility2,526 cited
  • 2001The distribution of realized stock return volatility2,264 cited
  • 2000What is an Oil Shock?2,194 cited
  • 2009THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET*1,837 cited
  • 2009Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy1,684 cited
  • 2007Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility1,448 cited
  • 2014Investor Sentiment Aligned: A Powerful Predictor of Stock Returns1,129 cited
  • 2014Forecasting the Equity Risk Premium: The Role of Technical Indicators1,001 cited
  • 1981Performance Hypothesis Testing with the Sharpe and Treynor Measures860 cited
  • 2014The VIX, the variance premium and stock market volatility812 cited
  • 2015Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility772 cited

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2018
Manager sentiment and stock returns
733 cited
  • 2015Modeling financial contagion using mutually exciting jump processes576 cited
  • Cited by

    • 2019Oil financialization and volatility forecast: Evidence from multidimensional predictors154 cited
    • 2021Oil shocks and stock market volatility: New evidence84 cited
    • 2020Examining the predictive information of CBOE OVX on China’s oil futures volatility: Evidence from MS-MIDAS models77 cited
    • 2020Cryptocurrency volatility forecasting: A Markov regime‐switching MIDAS approach75 cited
    • 2020On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks62 cited
    • 2020A novel hybrid approach to forecast crude oil futures using intraday data60 cited
    • 2020The skewness of oil price returns and equity premium predictability59 cited
    • 2019Forecasting oil price volatility using high-frequency data: New evidence58 cited
    • 2023What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting52 cited
    • 2022Oil futures volatility predictability: New evidence based on machine learning models51 cited
    • 2019VIX and volatility forecasting: A new insight47 cited
    • 2021Oil price volatility forecasts: What do investors need to know?43 cited
    • 2020Global equity market volatility forecasting: New evidence39 cited
    • 2021Investors’ perspective on forecasting crude oil return volatility: Where do we stand today?35 cited
    • 2019Futures hedging in crude oil markets: A comparison between minimum-variance and minimum-risk frameworks32 cited
    • 2019Forecasting (downside and upside) realized exchange-rate volatility: Is there a role for realized skewness and kurtosis?28 cited