G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Long-run Models of Oil Stock Prices
Matteo Manera; Alessandro Lanza; Margherita Grasso; Massimo Giovannini
发表日期2003
出处Energy: Resources and Markets
出版年2003
语种英语
摘要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.
特色分类C32,L71,Q30,Q40
关键词Cointegration,Vector error correction models,Oil companies,Oil stock prices,Hydrocarbon fuels,Energy,Non-renewable resources,Environment
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/long-run-models-of-oil-stock-prices/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/116924
推荐引用方式
GB/T 7714
Matteo Manera,Alessandro Lanza,Margherita Grasso,et al. Long-run Models of Oil Stock Prices. 2003.
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