A forecast of world oil prices

Includes bibliography

Nuevos precios del petróleo y la industria eléctrica en América Latina = New oil prices and the Latin American electricity industry

Incluye Bibliografía

World oil prices: prospects and implications for energy policy-makers in Latin America's oil-deficit countries

Includes bibliography

Low oil prices and the Illinois oil industry : effects, outlook, and policy recommendations /

Includes bibliographical references (p. 14).

Rising oil prices, executive branch policy, and U.S. security implications : hearing before the Committee on Governmental Affairs, United States Senate, One Hundred Sixth Congress, second session, March 24, 2000.

Shipping list no.: 2000-0331-P (pt. [1]), 2001-0033-P (pt. 2).

Causality in crude oil prices

Economic media inform on prices of three well established crude oil benchmarks: Brent, WTI and Dubai Fateh. The relevance of these is however declining with their low output - motivating investigation of the pricing dynamics. We apply Granger causality tests to study the price dependencies of 32 crude oils. The aim is to establish what crudes are setting the prices and what crudes are just following the general market trends. The investigation is performed globally as well as for different quality, geographical and organisational segments. The results indicate that crude oil price analysts should follow at least four different crudes that are good price indicators. WTI and Brent still lead the market, but 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, which confirms the lack of dominant benchmark within the segment of medium quality crudes.

Density forecasts of crude-oil prices using option-implied and ARCH-type models

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

Causality in crude oil prices

Crude oil markets witness growing disparity between the quality of crudes supplied and demanded in the market. The market share of low-quality crudes is increasing due to the depletion of old fields and increasing demand. This is unnerving the practitioners and affecting the relevance of the traditional benchmark crudes due to the lack of lower quality benchmarks (Montepeque, 2005). In this article, we apply Granger causality tests to study the price dependence of 32 crudes in order to establish which crudes drive other prices and which ones simply follow general market trends. Our results indicate that some of the old benchmarks are still relevant while others can be disregarded. Our results also interestingly show that the low-quality Mediterranean Russian Urals crude, introduced in the late 1990s, has emerged recently as a significant driver of global prices. © 2011 Taylor & Francis.

Demonstration against rise in oil prices

General note: Title and date provided by Bettye Lane.

Do increases in oil prices precede U.S. recessions?

This thesis examines the relationship between oil prices and economic activity, and it attempts to address the question: do increases in oil prices (oil shocks) precede U.S. recessions? This paper also applied macroeconomics, either through the direct use of a macroeconomic point of view or using a combination of mathematical and statistical models. Two mathematical and statistical models are used to determine the ability of oil prices to predict recessions in the United States. First, using the binary cyclical (Bry-Boschan method) indicator procedure to test the turning point of oil prices compared with turning points in GDP finds that oil prices almost always turn five month before a recession, suggesting that an oil shock might occur before a recession. Second, the Granger causality test shows that oil prices change do Granger cause U.S. recessions, indicating that oil prices are a useful signal to indicate a U.S. recession. Finally, combining this analysis with the literature, there are several potential explanations that the spike in oil prices result in slower GDP growth and are a contributing factor to U.S. recessions.