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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The opinions expressed in this paper do not necessarily reflect the position of Fondazione Eni Enrico Mattei Terms of use: Documents in Long-run Models of Oil Stock Prices SummaryThe 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.

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Marco Ratto (European Commission, Joint Research Centre) Werner Roeger (European Commission, DG ECFIN) Lukas Vogel (European Commission, DG ECFIN)The trade balances of the Euro Area (EA) and of the US have improved markedly after the Global Financial Crisis. This paper quantifies the drivers of EA and US economic fluctuations and external adjustment, using an estimated (1999-2017) three-region (US, EA, rest of world) DSGE model with trade in manufactured goods and in commodities. In the model, commodity prices reflect global demand and supply conditions. The paper highlights the key contribution of the post-crisis collapse in commodity prices for the EA and US trade balance reversal. Aggregate demand shocks originating in Emerging Markets too had a significant impact on EA and US trade balances. The broader lesson of this paper is that Emerging Markets and commodity shocks are major drivers of advanced countries' trade balances and terms of trade.JEL Codes: F2,F3,F4