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Title: Do investors price industry risk? Evidence from the cross-section of the oil industry
Authors: Ramos, S. B.
Taamouti, A.
Veiga, H.
Wang, C.-W.
Keywords: Anomalies
Asset pricing
Cross-sectional tests
Oil industry
Oil prices
Time series tests
Issue Date: 2017
Publisher: Incisive Media
Abstract: 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.
Peer reviewed: yes
DOI: 10.21314/JEM.2017.156
ISSN: 1756-3607
Accession number: WOS:000412336500005
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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