Causality in Crude Oil Prices
The world market of crude oil has three well established benchmarks used for pricing of other crudes: West Texas Intermediate, Europe Brent and Dubai Fateh. The relevance of these are however declining, as the output of the benchmarks is decreasing, and as an increasing share of world crude produced is of worse quality than the benchmarks (pointed out by e.g. Montepeque, 2005). Particularly the segment of medium density, sour crudes is lacking a reliable benchmark. We apply Granger causality tests to study the price dependencies of 32 crude oils empirically. The aim is to establish what crudes are setting the prices and what crudes are just follow the general market trend. The investigation is performed globally as well as for different quality segments, geographical segments and the segments of OPEC and non-OPEC crudes. The results indicate that crude oil price analysts should follow at least four different crudes that are if not benchmarks, at least good price indicators. While the well-established benchmarks WTI and Brent still lead the market, they are not the only crude prices worth paying attention to. In particular, Russian Urals drives global prices in a significant way, and Iran Seri Kerir is a significant price setter within OPEC. Dubai Fateh does not display any significant influence as a price setter. The lack of a reliable benchmark for medium density, sour crudes is thereby confirmed.
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- S. Gurcan Gulen, 1999. "Regionalization in the World Crude Oil Market: Further Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 125-139.
- S. Gurcan Gulen, 1997. "Regionalization in the World Crude Oil Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 109-126.
- Lin, Sharon Xiaowen & Tamvakis, Michael N., 2004. "Effects of NYMEX trading on IPE Brent Crude futures markets: a duration analysis," Energy Policy, Elsevier, vol. 32(1), pages 77-82, January.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
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