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Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory

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  • Walid Chkili
  • Shawkat Hammoudeh
  • Duc Khuong Nguyen

Abstract

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities (crude oil, natural gas, gold, and silver). A broad set of the most popular linear and

Suggested Citation

  • Walid Chkili & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Working Papers 2014-389, Department of Research, Ipag Business School.
    • Handle: RePEc:ipg:wpaper:2014-389
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    More about this item

    Keywords

    commodity markets; GARCH models; asymmetries; long memory; volatility forecasts.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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