Using Futures Prices to Filter Short-term Volatility and Recover a Latent, Long-term Price Series for Oil

Miguel Herce, John E. Parsons and Robert C. Ready

Working Papers from Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research

Abstract: Oil prices are very volatile. But much of this volatility seems to reflect short-term, transitory factors that may have little or no influence on the price in the long run. Many major investment decisions should be guided by a model of the long-term price of oil and its dynamics. Data on futures prices can be used to filter out the short-term volatility and recover a time series of the latent, long-term price of oil. We test a leading model known as the 2-factor or short-term, long-term model. While the generated latent price variable is clearly an improvement over the raw spot oil price series, we also find that (1) the generated long-term price series still contains some of the short-term volatility, and (2) a naïve use of a long-maturity futures price as a proxy for the long-term price successfully filters out a large majority of the short-term volatility and so may be convenient alternative to the more cumbersome model.

Date: 2006-04
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