Title of article
Long-run models of oil stock prices
Author/Authors
Alessandro Lanzaa، نويسنده , , Matteo Manerab، نويسنده , , c، نويسنده , , )، نويسنده , , Margherita Grassoc، نويسنده , , Massimo Giovanninic، نويسنده , , d، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2005
Pages
8
From page
1423
To page
1430
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.
Keywords
Cointegration , Vector error correction models , Oil companies , Oil stock prices , hydrocarbon fuels , Environment , Non-renewable resources , Energy
Journal title
Environmental Modelling and Software
Serial Year
2005
Journal title
Environmental Modelling and Software
Record number
958471
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