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The Forecasting Accuracy of Crude Oil Futures Prices

Author

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  • Manmohan S. Kumar

    (International Monetary Fund)

Abstract

The efficiency of the crude oil futures market and the forecasting accuracy of futures prices are investigated. The accuracy of forecasts using futures prices is compared with that of forecasts using alternative techniques, including time series and econometric models and judgmental forecasts. The predictive power of futures prices is further explored by comparing the forecasting accuracy of end-of-month prices with weekly and monthly averages, using different weighting schemes. Finally, the paper investigates whether forecasts using futures prices can be improved by incorporating information from other forecasting techniques.

Suggested Citation

  • Manmohan S. Kumar, 1992. "The Forecasting Accuracy of Crude Oil Futures Prices," IMF Staff Papers, Palgrave Macmillan, vol. 39(2), pages 432-461, June.
  • Handle: RePEc:pal:imfstp:v:39:y:1992:i:2:p:432-461
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    Citations

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    Cited by:

    1. Mr. Aasim M. Husain & Chakriya Bowman, 2004. "Forecasting Commodity Prices: Futures Versus Judgment," IMF Working Papers 2004/041, International Monetary Fund.
    2. Meade, Nigel, 2010. "Oil prices -- Brownian motion or mean reversion? A study using a one year ahead density forecast criterion," Energy Economics, Elsevier, vol. 32(6), pages 1485-1498, November.
    3. Jaime Casassus & Freddy Higuera, 2011. "Stock Return Predictability and Oil Prices," Documentos de Trabajo 406, Instituto de Economia. Pontificia Universidad Católica de Chile..
    4. Iqbal, Javed, 2001. "Forecasting methods: a comparative analysis," MPRA Paper 23856, University Library of Munich, Germany, revised 2001.
    5. Mr. James Daniel, 2001. "Hedging Government Oil Price Risk," IMF Working Papers 2001/185, International Monetary Fund.
    6. Ashima Goyal & Shruti Tripathi, 2012. "Regulations and price discovery: oil spot and futures markets," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2012-016, Indira Gandhi Institute of Development Research, Mumbai, India.
    7. Adrangi, Bahram & Chatrath, Arjun & Dhanda, Kanwalroop Kathy & Raffiee, Kambiz, 2001. "Chaos in oil prices? Evidence from futures markets," Energy Economics, Elsevier, vol. 23(4), pages 405-425, July.

    More about this item

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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