IDEAS home Printed from https://ideas.repec.org/p/fem/femwpa/2003.96.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://feem-media.s3.eu-central-1.amazonaws.com/wp-content/uploads/NDL2003-096.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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..
    5. 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.
    6. Manning, Neil, 1991. "The U.K. Oil Industry: Some Inferences from the Efficient Market Hypothesis," Scottish Journal of Political Economy, Scottish Economic Society, vol. 38(4), pages 324-334, November.
    7. Sadorsky, Perry, 2001. "Risk factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 23(1), pages 17-28, January.
    8. Wojciech W. Charemza & Derek F. Deadman, 1992. "New Directions In Econometric Practice," Books, Edward Elgar Publishing, number 84.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Mohamed Amine BOUTABA, 2009. "Does Carbon Affect European Oil Companies' Equity Values?," EcoMod2009 21500018, EcoMod.
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Bo-Sin Tang & Winky K O Ho, 2014. "Cross-Sectoral Influence, Planning Policy, and Industrial Property Market in a High-Density City: A Hong Kong Study 1978–2012," Environment and Planning A, , vol. 46(12), pages 2915-2931, December.
    20. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Dagher, Leila & El Hariri, Sadika, 2013. "The impact of global oil price shocks on the Lebanese stock market," Energy, Elsevier, vol. 63(C), pages 366-374.
    3. Dimitris A. Georgoutsos & Georgios P. Kouretas, 2017. "The Relevance of the Monetary Model for the Euro / USD Exchange Rate Determination: a Long Run Perspective," Open Economies Review, Springer, vol. 28(5), pages 989-1010, November.
    4. Lin, Boqiang & Wesseh, Presley K. & Appiah, Michael Owusu, 2014. "Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness," Energy Economics, Elsevier, vol. 42(C), pages 172-182.
    5. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    6. Khobai Hlalefang & Hamman Nicolene & Mkhombo Thando & Mhaka Simba & Mavikela Nomahlubi & Phiri Andrew, 2018. "The FDI-Growth Nexus in South Africa: A Re-Examination Using Quantile Regression Approach," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 63(3), pages 33-55, December.
    7. Moustfa Ismael Khaleel & Ahmed Younis Jabbar & Maha Kalai & Rima Aloulou & Kamel Helali, 2024. "An Applied Study of the Symmetric and Asymmetric Impact of Oil Prices and International Financial Markets on Economic Growth in Iraq," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 66-80, July.
    8. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    9. Dilip Kumar & S. Maheswaran, 2013. "Return, Volatility and Risk Spillover from Oil Prices and the US Dollar Exchange Rate to the Indian Industrial Sectors," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(1), pages 61-91, February.
    10. Urbain, Jean-Pierre, 1995. "Partial versus full system modelling of cointegrated systems an empirical illustration," Journal of Econometrics, Elsevier, vol. 69(1), pages 177-210, September.
    11. Hian Teck HOON & Frank S T Hsiao & Mei-Chu Wang Hsiao, 2020. "FDI, Exports, and GDP in East and Southeast Asia — Panel Data versus Time-Series Causality Analyses," World Scientific Book Chapters, in: Development Strategies of Open Economies Cases from Emerging East and Southeast Asia, chapter 4, pages 81-129, World Scientific Publishing Co. Pte. Ltd..
    12. Herwartz, Helmut & Neumann, Michael H., 2005. "Bootstrap inference in systems of single equation error correction models," Journal of Econometrics, Elsevier, vol. 128(1), pages 165-193, September.
    13. Muñoz, M. Pilar & Dickey, David A., 2009. "Are electricity prices affected by the US dollar to Euro exchange rate? The Spanish case," Energy Economics, Elsevier, vol. 31(6), pages 857-866, November.
    14. Rault, Christophe, 2005. "Further Results on Weak Exogeneity in Vector Error Correction Models," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    15. Elbakry, Ashraf E. & Nwachukwu, Jacinta C. & Abdou, Hussein A. & Elshandidy, Tamer, 2017. "Comparative evidence on the value relevance of IFRS-based accounting information in Germany and the UK," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 28(C), pages 10-30.
    16. Jung, Young Cheol & Das, Anupam & McFarlane, Adian, 2020. "The asymmetric relationship between the oil price and the US-Canada exchange rate," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 198-206.
    17. Martín González Rozada & Pablo Andrés Neumeyer & Alejandra Clemente & Diego Luciano Sasson & Nicholas Trachter, 2004. "The Elasticity of Substitution in Demand for Non-Tradable Goods in Latin America: The Case of Argentina," Research Department Publications 3179, Inter-American Development Bank, Research Department.
    18. John V. Duca & Jason L. Saving, 2016. "Income Inequality and Political Polarization: Time Series Evidence Over Nine Decades," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 445-466, September.
    19. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    20. Sharafat, Ali & Hamid, Waqas & Muhammad, Asghar & Raheel Abbas, Kalroo & Muhammad, Ayaz & Mukhtyar, Khan, 2013. "Foreign Capital and Investment in Pakistan: A Cointegration and Causality Analysis," MPRA Paper 55640, University Library of Munich, Germany, revised 28 Apr 2013.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fem:femwpa:2003.96. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alberto Prina Cerai The email address of this maintainer does not seem to be valid anymore. Please ask Alberto Prina Cerai to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.