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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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    Cited by:

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    2. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & Perez de Gracia, Fernando, 2018. "Oil volatility, oil and gas firms and portfolio diversification," Energy Economics, Elsevier, vol. 70(C), pages 499-515.
    3. Mohamed Amine BOUTABA, 2009. "Does Carbon Affect European Oil Companies' Equity Values?," EcoMod2009 21500018, EcoMod.
    4. 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.
    5. Mohammad Enamul Hoque & Soo-Wah Low, 2020. "Industry Risk Factors and Stock Returns of Malaysian Oil and Gas Industry: A New Look with Mean Semi-Variance Asset Pricing Framework," Mathematics, MDPI, vol. 8(10), pages 1-28, October.
    6. Schaeffer, Roberto & Borba, Bruno S.M.C. & Rathmann, Régis & Szklo, Alexandre & Castelo Branco, David A., 2012. "Dow Jones sustainability index transmission to oil stock market returns: A GARCH approach," Energy, Elsevier, vol. 45(1), pages 933-943.
    7. Kang, Wensheng & Perez de Gracia, Fernando & Ratti, Ronald A., 2017. "Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 344-359.
    8. Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal & Imtiaz Hussain Khan, 2023. "Oil price volatility and stock returns: Evidence from three oil‐price wars," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3162-3182, July.
    9. Liu, Jingzhen & Kemp, Alexander, 2019. "Forecasting the sign of U.S. oil and gas industry stock index excess returns employing macroeconomic variables," Energy Economics, Elsevier, vol. 81(C), pages 672-686.
    10. Fatema Alaali, 2017. "Analysing the Effect of Oil Price Shocks on Asset Prices: Evidence from UK Firms," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 418-432.
    11. Nur Dilbaz Alacahan & Seda Yavuzaslan Soylemez, 2017. "The Impact of Petrol Prices on Stock Prices of Energy Companies: A Panel Data Analysis for Turkey," EconWorld Working Papers 17006, WERI-World Economic Research Institute, revised Oct 2017.
    12. 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.
    13. Mohmmad Enamul Hoque & Soo Wah Low & Mohd Azlan Shah Zaidi, 2020. "Do Oil and Gas Risk Factors Matter in the Malaysian Oil and Gas Industry? A Fama-MacBeth Two Stage Panel Regression Approach," Energies, MDPI, vol. 13(5), pages 1-15, March.
    14. 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.
    15. Li, Qiming & Cheng, Ke & Yang, Xiaoguang, 2017. "Response pattern of stock returns to international oil price shocks: From the perspective of China’s oil industrial chain," Applied Energy, Elsevier, vol. 185(P2), pages 1821-1831.
    16. 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.
    17. 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.
    18. Mohammad Enamul Hoque & Soo-Wah Low & Mohd Azlan Shah Zaidi, 2020. "The Effects of Oil and Gas Risk Factors on Malaysian Oil and Gas Stock Returns: Do They Vary?," Energies, MDPI, vol. 13(15), pages 1-22, July.
    19. 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.
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    More about this item

    Keywords

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

    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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