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How does market concern derived from the Internet affect oil prices?

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  • Guo, Jian-Feng
  • Ji, Qiang

Abstract

With the acceleration of oil marketisation and the rapid development of electronic information carriers, external information shocks can be easily and quickly transmitted to the oil market through the Internet. This paper analyses the impact of short- and long-run market concerns, derived from search query volumes in Google for different domains around the oil market on oil volatility using co-integration and the modified EGARCH model. Empirical results suggest there is a long-term equilibrium relationship between oil prices and long-run market concern for oil prices and oil demand. The short-run market concerns for the 2008 financial crisis and the Libyan war convulsion have a significant and asymmetric influence on oil price volatility. This indicates that market concern transmitted through the Internet can strengthen the linkage between oil price changes and external events by influencing the expectation of market traders, and to some extent it can exaggerate the impact of nonfundamental information shocks.

Suggested Citation

  • Guo, Jian-Feng & Ji, Qiang, 2013. "How does market concern derived from the Internet affect oil prices?," Applied Energy, Elsevier, vol. 112(C), pages 1536-1543.
    • Handle: RePEc:eee:appene:v:112:y:2013:i:c:p:1536-1543
    DOI: 10.1016/j.apenergy.2013.03.027
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    References listed on IDEAS

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    1. Fan, Ying & Xu, Jin-Hua, 2011. "What has driven oil prices since 2000? A structural change perspective," Energy Economics, Elsevier, vol. 33(6), pages 1082-1094.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Huina Mao & Scott Counts & Johan Bollen, 2011. "Predicting Financial Markets: Comparing Survey, News, Twitter and Search Engine Data," Papers 1112.1051, arXiv.org.
    4. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    5. Ilaria Bordino & Stefano Battiston & Guido Caldarelli & Matthieu Cristelli & Antti Ukkonen & Ingmar Weber, 2012. "Web Search Queries Can Predict Stock Market Volumes," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-17, July.
    6. Soytas, Ugur & Sari, Ramazan & Hammoudeh, Shawkat & Hacihasanoglu, Erk, 2009. "World oil prices, precious metal prices and macroeconomy in Turkey," Energy Policy, Elsevier, vol. 37(12), pages 5557-5566, December.
    7. Franz Wirl and Azra Kujundzic, 2004. "The Impact of OPEC Conference Outcomes on World Oil Prices 1984-2001," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 45-62.
    8. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
    9. Garcia, Philip & Irwin, Scott H. & Leuthold, Raymond M. & Yang, Li, 1997. "The value of public information in commodity futures markets," Journal of Economic Behavior & Organization, Elsevier, vol. 32(4), pages 559-570, April.
    10. Bhar, Ramaprasad & Hamori, Shigeyuki, 2008. "Information content of commodity futures prices for monetary policy," Economic Modelling, Elsevier, vol. 25(2), pages 274-283, March.
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