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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Ramos, S. B., Taamouti, A., Veiga, H. & Wang, C.-W. (2017). Do investors price industry risk? Evidence from the cross-section of the oil industry. Journal of Energy Markets. 10 (1), 79-108
Exportar Referência (IEEE) 
S. C. Ramos et al.,  "Do investors price industry risk? Evidence from the cross-section of the oil industry", in Journal of Energy Markets, vol. 10, no. 1, pp. 79-108, 2017
Exportar BibTeX 
@article{ramos2017_1714600631309,
	author = "Ramos, S. B. and Taamouti, A. and Veiga, H. and Wang, C.-W.",
	title = "Do investors price industry risk? Evidence from the cross-section of the oil industry",
	journal = "Journal of Energy Markets",
	year = "2017",
	volume = "10",
	number = "1",
	doi = "10.21314/JEM.2017.156",
	pages = "79-108",
	url = "https://www.risk.net/journal-of-energy-markets/2480155/do-investors-price-industry-risk-evidence-from-the-cross-section-of-the-oil-industry"
}
Exportar RIS 
TY  - JOUR
TI  - Do investors price industry risk? Evidence from the cross-section of the oil industry
T2  - Journal of Energy Markets
VL  - 10
IS  - 1
AU  - Ramos, S. B.
AU  - Taamouti, A.
AU  - Veiga, H.
AU  - Wang, C.-W.
PY  - 2017
SP  - 79-108
SN  - 1756-3607
DO  - 10.21314/JEM.2017.156
UR  - https://www.risk.net/journal-of-energy-markets/2480155/do-investors-price-industry-risk-evidence-from-the-cross-section-of-the-oil-industry
AB  - Recent research identifies several industry-related patterns that standard asset pricing models cannot explain effectively. This paper investigates what explains the cross-section of returns of firms in the oil industry and, in particular, how well an oil factor performs in comparison with the common systematic factors identified in the literature. We conduct a time series analysis and demonstrate that the oil factor has substantial explanatory power over traditional factors. A cross-sectional regression shows that the size, momentum and oil factors are associated with a positive risk premium and are able to explain the cross-sectional variation in stock returns in the oil industry. Our results suggest that investors demand compensation for the exposure to oil price changes, which has implications for the computation of the cost of equity.
ER  -