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Forecasting Agricultural Commodity Prices with Asymmetric-Error GARCH Models
7 references·3 citing·37 second hop
Forecasting Agricultural Commodity Prices with Asymmetric-Error GARCH Models (2003)Forecasting Agricultural Commodity Prices…A flexible parametric GARCH model with an application to exchange rates (2001)A flexible parametric GARCH m…Asymptotic Theory for the Garch(1,1) Quasi-Maximum Likelihood Estimator (1994)Asymptotic Theory for the Gar…Nonlinear Dynamics of Daily Cash Prices (1992)Nonlinear Dynamics of Daily C…A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return (1987)A Conditionally Heteroskedast…On Approximating the Statistical Properties of Elasticities (1986)On Approximating the Statisti…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Autoregressive Conditional He…Forecasting Wheat Prices Based on Past Behavior: Comparison of Different Modelling Approaches (2019)Forecasting Wheat Prices Base…Adaptive learning forecasting, with applications in forecasting agricultural prices (2019)Adaptive learning forecasting…Beyond the negative relation between return and conditional volatility in the wine market (2014)Beyond the negative relation …On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Fine Wine as an Alternative Investment during Equity Market Downturns (2015)Fine Wines and Stocks from the Perspective of UK Investors: Hedge or Safe Haven? (2016)Déterminants macroéconomiques du prix du vin (2018)ARCH modeling in finance (1992)Quadratic ARCH Models (1995)Maximum likelihood estimation of pure GARCH and ARMA-GARCH processes (2004)A multiple indicators model for volatility using intra-daily data (2005)The Behavior of Stock-Market Prices (1965)Distinguishing random and deterministic systems: Abridged version (1986)Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model (1987)Agricultural liberalization policy and commodity price volatility: a GARCH application (2001)Asset storability and hedging effectiveness in commodity futures markets (2003)Long memory models for daily and high frequency commodity futures returns (2007)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Fractionally integrated generalized autoregressive conditional heteroskedasticity (1996)Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models (1998)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Multivariate Simultaneous Generalized ARCH (1995)Expectations and Exchange Rate Dynamics (1976)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)The performance of event study approaches using daily commodity futures returns (2004)Asymmetric and leptokurtic distribution for heteroscedastic asset returns: The SU-normal distribution (2007)Estimation of an adaptive stock market model with heterogeneous agents (2007)El Niño and World Primary Commodity Prices: Warm Water or Hot Air? (2002)Price Dynamics in the International Wheat Market: Modeling with Error Correction and Directed Acyclic Graphs (2003)Can Exchange Rates Forecast Commodity Prices? * (2010)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Exponential smoothing: The state of the art (1985)The M3-Competition: results, conclusions and implications (2000)Agricultural commodity futures prices prediction based on a new hybrid forecasting model combining quadratic decomposition technology and LSTM model (2024)Choice Modelling Approaches: A Superior Alternative for Environmental Valuatioin? (2001)Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks (2004)Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application (2019)Econometric Analysis of Cross Section and Panel Data (2001)
this work references cited by second hop

References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 1982Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation20,684 cited
  • 1987A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return2,569 cited
  • 1986On Approximating the Statistical Properties of Elasticities2,382 cited
  • 1994Asymptotic Theory for the Garch(1,1) Quasi-Maximum Likelihood Estimator617 cited
  • 1992Nonlinear Dynamics of Daily Cash Prices93 cited
  • 2001A flexible parametric GARCH model with an application to exchange rates78 cited

Cited by

  • 2019Adaptive learning forecasting, with applications in forecasting agricultural prices51 cited
  • 2019Forecasting Wheat Prices Based on Past Behavior: Comparison of Different Modelling Approaches34 cited
  • 2014Beyond the negative relation between return and conditional volatility in the wine market30 cited

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