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www.eia.doe.gov. An Empirical Evaluation of Relationship Between Crude Oil and Natural Gas Prices. Meeting with the the American Statistical Association Committee on Energy Statistics With the Energy Information Administration April 7, 2006 Jose Villar [email protected]

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An empirical evaluation of relationship between crude oil and natural gas prices l.jpg

www.eia.doe.gov

An Empirical Evaluation of Relationship Between Crude Oil and Natural Gas Prices

Meeting with the the American Statistical Association Committee on Energy Statistics

With the

Energy Information Administration

April 7, 2006

Jose Villar

[email protected]

Natural Gas Division

Energy Information Administration (EIA)


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Natural Gas and Crude Oil Prices Have Appeared to Decouple at Times


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Discussion Goals

  • Get input on the econometric modeling.

  • What are the implications of the VECM for the NEMS?

  • How can EIA best use what has been learned from the study?

  • Are there things we haven’t considered?


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Objectives of the Analysis of Crude Oil and Natural Gas Prices

  • Identify the economic factors linking crude oil and natural gas markets

  • Statistically test for the possibility of a long-run relationship between natural gas and crude oil prices


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Demand Factors Linking Crude Oil and Natural Gas Markets

  • Natural gas and petroleum products are substitutes in consumption. An increase in the price of crude oil will increase the demand for natural gas, increasing its price.

  • Competition between natural gas and petroleum products occurs principally in the industrial and electric generation sectors.


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Supply Factors Linking Crude Oil and Natural Gas Markets

  • Increases in crude oil prices may increase natural gas produced as a co-product of oil, tending to decrease natural gas prices.

  • Increased crude oil prices may spur more exploration and development as cash flow expands, which could put downward pressure on natural gas prices.

  • An increase in crude oil prices may lead to increased costs of natural gas production as natural gas and crude oil operators compete for similar economic resources.


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Natural Gas and Crude Oil Prices Appear to Follow Similar Trends

Logarithms of Natural Gas and Crude Oil Prices

Crude Oil Prices Mean-Shifted and Rescaled


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Cointegration Analysis of Natural Gas and Crude Oil Prices

  • Two variables are cointegrated if

    • They are unit root processes

    • A stationary linear combination of them can be found

  • If the price of natural gas, pg , and the price of crude oil, po are cointegrated, then


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The Cointegrating Relation Depicts the Deviation of the Price of Natural Gas from the Price of Crude Oil


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“Equilibrium” Correction Mechanism

  • The cointegration relation is interpreted as a long-run relation or an “equilibrium” correction mechanism for modeling purposes.


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The Vector Equilibrium Correction Model and Cointegration

  • The Vector Equilibrium Model (VECM) uses the cointegration relation to help explain short-run movements in natural gas prices.

  • The VECM expresses changes in prices as a function of short-run and long-run effects, as well as the speed of adjustment from disruptions to the long-run equilibrium.

    Δ Pg,t= 0.3ΔPo,t + 0.10ΔPg,t-1 - .2 ECMt-1 + vt

Short-run effect

Long-run equilibrium


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The Estimated VECM Provides a Good Fit of Natural Gas Prices (1989-2005)

Fitted Model and Actual Values

Scaled Residuals of Fitted Model


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Estimates of the Equilibrium Correction Model Are Stable Over the Period of Analysis

Recursively Estimated Crude Oil Price Parameter

Recursively Estimated Deterministic Trend Parameter


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Implications of the VECM for the Analysis of Crude Oil and Natural Gas Prices

  • Crude oil and natural gas prices have a stable long-run relationship.

  • Crude oil prices influence but are not influenced by natural gas prices.

  • Natural gas prices have been growing at a slightly faster rate than crude oil prices.

  • About 20 percent of a disruption from the long-run equilibrium will be recovered in the following period.


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Implications of the VECM:Model Dynamics


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Where Should EIA Go From Here?

  • What is the best choice with respect to data frequency—monthly or weekly?

  • The use of Impulse dummy variables to capture/suppress the effects of outliers

  • What are the implications of the VECM for the NEMS?

  • How can EIA best use what has been learned?

  • Are there other things that we have not considered?


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