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Modeling energy price dynamics: GARCH versus stochastic volatility
16 references·16 citing·37 second hopsampled
Modeling energy price dynamics: GARCH versus stochastic volatility (2015)Modeling energy price dynamics: GARCH ver…WHY ARE THE 2000s SO DIFFERENT FROM THE 1970s? A STRUCTURAL INTERPRETATION OF CHANGES IN THE MACROECONOMIC EFFECTS OF OIL PRICES (2013)WHY ARE THE 2000s SO DIFFEREN…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 …Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives (2009)Unspanned Stochastic Volatili…Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market (2009)Not All Oil Price Shocks Are …Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models (2008)Volatility in crude oil futur…Forecasting volatility of crude oil markets (2008)Forecasting volatility of cru…Estimating ‘Value at Risk’ of crude oil price and its spillover effect using the GED-GARCH approach (2008)Estimating ‘Value at Risk’ of…Modeling and forecasting petroleum futures volatility (2006)Modeling and forecasting petr…Forecasting volatility in the New Zealand stock market (2002)Forecasting volatility in the…Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models (1998)Stochastic Volatility: Likeli…Optimization of computer simulation models with rare events (1997)Optimization of computer simu…MODELING STOCHASTIC VOLATILITY: A REVIEW AND COMPARATIVE STUDY (1994)MODELING STOCHASTIC VOLATILIT…On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)On the Relation between the E…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Machine learning natural gas price predictions (2025)Machine learning natural gas …Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model (2023)Novel optimization approach f…Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model (2022)Natural gas volatility predic…Forecasting stock volatility and value-at-risk based on temporal convolutional networks (2022)Forecasting stock volatility …Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether (2021)Is there one safe-haven for v…Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China (2021)Investor sentiment and predic…Are there spillovers among China's pilots for carbon emission allowances trading? (2021)Are there spillovers among Ch…Heterogeneous dependence between crude oil price volatility and China’s agriculture commodity futures: Evidence from quantile-on-quantile regression (2020)Heterogeneous dependence betw…Geometric fractional Brownian motion model for commodity market simulation (2020)Geometric fractional Brownian…Spillover network of commodity uncertainties (2019)Spillover network of commodit…Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models (2019)Modelling the dynamics of Bit…Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect (2018)Volatility forecasting of cru…Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model (2018)Forecasting volatility and co…Exploiting Dependence: Day-Ahead Volatility Forecasting for Crude Oil and Natural Gas Exchange-Traded Funds (2018)Exploiting Dependence: Day-Ah…Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models (2018)Do high-frequency stock marke…Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model (2017)Oil price volatility and macr…Applied Probability and Queues (1987)A quick simulation method for excessive backlogs in networks of queues (1989)Acceleration of Stochastic Approximation by Averaging (1992)Proceedings of the 2002 Winter Simulation Conference (2002)Simulation optimization: A comprehensive review on theory and applications (2004)Proceedings of the 2017 Winter Simulation Conference (2017)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Turbulent cascades in foreign exchange markets (1996)Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long‐Run in High Frequency Returns (1997)The detection and estimation of long memory in stochastic volatility (1998)Comparing Predictive Accuracy (1994)On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness (2011)Return and volatility transmission between world oil prices and stock markets of the GCC countries (2011)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Carbon futures and macroeconomic risk factors: A view from the EU ETS (2009)Crude oil and stock markets: Stability, instability, and bubbles (2009)Speculation and volatility spillover in the crude oil and agricultural commodity markets: A Bayesian analysis (2011)A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return (1987)Stochastic Simulation (1987)The Pricing of Options on Assets with Stochastic Volatilities (1987)Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics (2001)Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models (2002)Power and Bipower Variation with Stochastic Volatility and Jumps (2004)Atheoretical macroeconometrics: A critique (1985)Systematic Monetary Policy and the Effects of Oil Price Shocks (1997)THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET* (2009)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)Econometric Analysis of Cross Section and Panel Data (2001)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)ARCH modeling in finance (1992)The Cross‐Section of Volatility and Expected Returns (2006)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1993On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks9,041 cited
  • 2009Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market4,637 cited
  • 1998Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models2,265 cited
  • 1997Optimization of computer simulation models with rare events682 cited
  • 1994MODELING STOCHASTIC VOLATILITY: A REVIEW AND COMPARATIVE STUDY646 cited
  • 2006Modeling and forecasting petroleum futures volatility479 cited
  • 2010Forecasting crude oil market volatility: Further evidence using GARCH-class models374 cited
  • 2008Forecasting volatility of crude oil markets367 cited
  • 2013WHY ARE THE 2000s SO DIFFERENT FROM THE 1970s? A STRUCTURAL INTERPRETATION OF CHANGES IN THE MACROECONOMIC EFFECTS OF OIL PRICES363 cited
  • 2010International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models346 cited
  • 2009Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives337 cited
  • 2008Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models

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304 cited
  • 2002Forecasting volatility in the New Zealand stock market219 cited
  • 2008Estimating ‘Value at Risk’ of crude oil price and its spillover effect using the GED-GARCH approach206 cited
  • Cited by

    • 2017Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model208 cited
    • 2019Spillover network of commodity uncertainties178 cited
    • 2018Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models116 cited
    • 2021Are there spillovers among China's pilots for carbon emission allowances trading?101 cited
    • 2020Heterogeneous dependence between crude oil price volatility and China’s agriculture commodity futures: Evidence from quantile-on-quantile regression100 cited
    • 2025Machine learning natural gas price predictions94 cited
    • 2021Is there one safe-haven for various turbulences? The evidence from gold, Bitcoin and Ether92 cited
    • 2018Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model86 cited
    • 2018Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect83 cited
    • 2019Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models70 cited
    • 2021Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China68 cited
    • 2022Forecasting stock volatility and value-at-risk based on temporal convolutional networks57 cited
    • 2022Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model49 cited
    • 2023Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model48 cited
    • 2018Exploiting Dependence: Day-Ahead Volatility Forecasting for Crude Oil and Natural Gas Exchange-Traded Funds39 cited
    • 2020Geometric fractional Brownian motion model for commodity market simulation39 cited