Arbeitspapier

Long-run Models of Oil Stock Prices

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.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 96.2003

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Mining, Extraction, and Refining: Hydrocarbon Fuels
Nonrenewable Resources and Conservation: General
Energy: General
Thema
Cointegration
Vector error correction models
Oil companies
Oil stock prices
Hydrocarbon fuels
Energy
Non-renewable resources
Environment
Mineralölwirtschaft
Börsenkurs
Kointegration
Industrieländer
Kointegration

Ereignis
Geistige Schöpfung
(wer)
Lanza, Alessandro
Manera, Matteo
Grasso, Margherita
Giovannini, Massimo
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2003

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Lanza, Alessandro
  • Manera, Matteo
  • Grasso, Margherita
  • Giovannini, Massimo
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2003

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