Long-run models of oil stock prices

Abstract

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An analytical platform for cumulative impact assessment based on multiple futures: The impact of petroleum drilling and forest harvesting on moose (Alces alces) and marten (Martes americana) habitats in northeastern British Columbia

“…Furthermore, all the models had the residuals organized as white noise (p > 0.33) and were stationary with the mean and trend not significantly different from 0 (p > 0.12 and p > 0.17, respectively). The fulfillment of the assumptions and the agreement with the results of other studies investigating petroleum drilling (Iledare and Pulsipher, 1997;Lanza et al, 2005;Rao, 2000;Ringlund et al, 2008;Walls, 1994) suggest that the models can be considered as correct. Furthermore, there is no evidence that different models have different likelihoods; therefore, the futures built using the five models can occur and are equally likely (Supplementary data e Table 2).…”

Copula model dependency between oil prices and stock markets: Evidence from China and Vietnam

“…Moreover, Faff and Brailsford (1999), Sadorsky (1999Sadorsky ( , 2001 found that the oil prices volatility have asymmetric effects on stocks. Among others who contributed in this area are, Aleisa et al (2003), , El-Sharif et al (2005), Lanza et al (2005), Anorou and Mustafa (2007), Basher et al (2010), and Park and Ratti (2008). Some of these studies used data from emerging economies such as Canada, Europe, US and UK.…”

Relationships between oil price shocks and stock market: An empirical analysis from China

“…Moreover, the movement of oil future prices explained oil companies' stock price shocks. Lanza et al (2005) used VAR/VECM models to research the relationships among six large oil companies, various stock markets, and the spread of crude oil future and spot price. He found that the greater the spread, the higher the oil companies' stock prices.…”