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Long-run Models of Oil Stock Prices

Author

Listed:
  • Alessandro Lanza

    (Eni S.p.A., Roma, Fondazione Eni Enrico Mattei, Milano and CRENoS, Cagliari, Italy)

  • Matteo Manera

    (Department of Statistics, University of Milano-Bicocca and Fondazione Eni Enrico Mattei, Milano, Italy)

  • Margherita Grasso

    (Fondazione Eni Enrico Mattei, Milano, Italy)

  • Massimo Giovannini

    (Department of Economics, Boston College, USA and Fondazione Eni Enrico Mattei, Milano, Italy)

Abstract

The identification of the forces that drive oil stock prices is extremely important given the size of the Oil&Gas industry and its links with the energy sector and the environment. In the next decade oil companies will have to deal with international policies to contrast climate change. This issue is likely to affect companies’ shareholder values. In this paper we focus on the long-run financial determinants of the stock prices of six major oil companies (Bp, Chevron-Texaco, Eni, Exxon-Mobil, Royal Dutch Shell, Total-Fina-Elf) using multivariate cointegration techniques and vector error correction models. Weekly oil stock prices are analyzed together with the relevant stock market indexes, exchange rates, spot and future oil prices over the period January 1998- April 2003. The empirical results confirm the statistical significance of the major financial variables in explaining the long-run dynamics of oil companies’ stock values.

Suggested Citation

  • Alessandro Lanza & Matteo Manera & Margherita Grasso & Massimo Giovannini, 2003. "Long-run Models of Oil Stock Prices," Working Papers 2003.96, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2003.96
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    References listed on IDEAS

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    1. Urbain, Jean-Pierre, 1992. "On Weak Exogeneity in Error Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(2), pages 187-207, May.
    2. Amano, R. A. & van Norden, S., 1998. "Oil prices and the rise and fall of the US real exchange rate," Journal of International Money and Finance, Elsevier, vol. 17(2), pages 299-316, April.
    3. Søren Johansen & Katarina Juselius, 1989. "The Full Information Maximum Likelihood Procedure for Inference on Cointegration - with Applications," Discussion Papers 89-11, University of Copenhagen. Department of Economics.
    4. Sadorsky, Perry, 2001. "Risk factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 23(1), pages 17-28, January.
    5. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    6. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
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    Citations

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    Cited by:

    1. Mohamed Amine BOUTABA, "undated". "Does Carbon Affect European Oil Companies' Equity Values?," EcoMod2009 21500018, EcoMod.
    2. repec:eco:journ1:2017-04-51 is not listed on IDEAS
    3. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.
    4. Massimo Giovannini & Margherita Grasso & Alessandro Lanza & Matteo Manera, 2006. "Conditional correlations in the returns on oil companies stock prices and their determinants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(4), pages 193-207, September.
    5. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, vol. 41(C), pages 63-75.
    6. Arfaoui Mongi & Haj Ali Dhouha, 2016. "Do Structural Breaks Affect Portfolio Designs and Hedging Strategies? International Evidence from Stock-Commodity Markets Linkages," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 252-270.
    7. Bai, Ye & Green, Christopher J. & Leger, Lawrence, 2012. "Industry and country factors in emerging market returns: Did the Asian crisis make a difference?," Emerging Markets Review, Elsevier, vol. 13(4), pages 559-580.
    8. Alaali, Fatema, 2017. "Analysing the Effect of Oil Price Shocks on Asset Prices: evidence from UK firms," MPRA Paper 78013, University Library of Munich, Germany.
    9. Mohanty, Sunil & Nandha, Mohan & Bota, Gabor, 2010. "Oil shocks and stock returns: The case of the Central and Eastern European (CEE) oil and gas sectors," Emerging Markets Review, Elsevier, vol. 11(4), pages 358-372, December.

    More about this item

    Keywords

    Cointegration; Vector error correction models; Oil companies; Oil stock prices; Hydrocarbon fuels; Energy; Non-renewable resources; Environment;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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