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Identifying the oil price-macroeconomy relationship: An empirical mode decomposition analysis of US data

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  • Oladosu, Gbadebo
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    Abstract

    This paper employs the empirical mode decomposition (EMD) method to filter cyclical components of US quarterly gross domestic product (GDP) and quarterly average oil price (West Texas Intermediate--WTI). The method is adaptive and applicable to non-linear and non-stationary data. A correlation analysis of the resulting components is performed and examined for insights into the relationship between oil and the economy. Several components of this relationship are identified. However, the principal one is that the medium-run component of the oil price has a negative relationship with the main cyclical component of the GDP. In addition, weak correlations suggesting a lagging, demand-driven component and a long-run component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identifies a number of lessons applicable to recent oil market events, including the eventuality of persistent oil price and economic decline following a long oil price run-up. In addition, it was found that oil market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply losses.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 37 (2009)
    Issue (Month): 12 (December)
    Pages: 5417-5426

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    Handle: RePEc:eee:enepol:v:37:y:2009:i:12:p:5417-5426

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Oil price Macroeconomy Empirical mode decomposition;

    References

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    Citations

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    Cited by:
    1. Natanelov, Valeri & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2013. "Crude oil–corn–ethanol – nexus: A contextual approach," Energy Policy, Elsevier, vol. 63(C), pages 504-513.
    2. Martina, Esteban & Rodriguez, Eduardo & Escarela-Perez, Rafael & Alvarez-Ramirez, Jose, 2011. "Multiscale entropy analysis of crude oil price dynamics," Energy Economics, Elsevier, vol. 33(5), pages 936-947, September.
    3. Natanelov, Valeri & Alam, Mohammad J. & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2011. "Is there co-movement of agricultural commodities futures prices and crude oil?," Energy Policy, Elsevier, vol. 39(9), pages 4971-4984, September.
    4. Ibrahim, Mansor H. & Ahmed, Huson Joher Ali, 2014. "Permanent and transitory oil volatility and aggregate investment in Malaysia," Energy Policy, Elsevier, vol. 67(C), pages 552-563.
    5. Al-mulali, Usama, 2010. "The impact of oil shocks on the G-7 countries GDP growth," MPRA Paper 26846, University Library of Munich, Germany.
    6. Natanelov, Valeri & Alam, Mohammad Jahangir & McKenzie, Andrew M. & Van Huylenbroeck, Guido, 2011. "Is There Co-Movement of Agricultural Commodities Futures Prices and Crude Oil?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114626, European Association of Agricultural Economists.
    7. Li, Muyi & Huang, Yongxiang, 2014. "Hilbert–Huang Transform based multifractal analysis of China stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 222-229.
    8. Ediger, Volkan S. & Berk, Istemi, 2011. "Crude oil import policy of Turkey: Historical analysis of determinants and implications since 1968," Energy Policy, Elsevier, vol. 39(4), pages 2132-2142, April.
    9. Park, Chuhwan & Chung, Mo & Lee, Sukgyu, 2011. "The effects of oil price on regional economies with different production structures: A case study from Korea using a structural VAR model," Energy Policy, Elsevier, vol. 39(12), pages 8185-8195.

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