 Density forecasts of crude‐oil prices using option‐implied and ARCH‐type modelsEsben Høg () and Leonidas Tsiaras Journal of Futures Markets, 2011, vol. 31, issue 8, 727-754 Abstract: The predictive accuracy of competing crude‐oil price forecast densities is investigated for the 1994–2006 period. Moving beyond standard ARCH type models that rely exclusively on past returns, we examine the benefits of utilizing the forward‐looking information that is embedded in the prices of derivative contracts. Risk‐neutral densities, obtained from panels of crude‐oil option prices, are adjusted to reflect real‐world risks using either a parametric or a non‐parametric calibration approach. The relative performance of the models is evaluated for the entire support of the density, as well as for regions and intervals that are of special interest for the economic agent. We find that non‐parametric adjustments of risk‐neutral density forecasts perform significantly better than their parametric counterparts. Goodness‐of‐fit tests and out‐of‐sample likelihood comparisons favor forecast densities obtained by option prices and non‐parametric calibration methods over those constructed using historical returns and simulated ARCH processes. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:727–754, 2011 Date: 2011 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wly:jfutmk:v:31:y:2011:i:8:p:727-754 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of Futures Markets is currently edited by Robert I. Webb More articles in Journal of Futures Markets from John Wiley & Sons, Ltd. |
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