Dynamic cyclical comovements of oil prices with industrial production, consumer prices, unemployment, and stock prices

By Bradley T. Ewing, Mark A. Thompson. 2007

177 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/9f6fe76ab275072c7b95c48822b0c74ca989c24e

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Citations in the corpus

The Role of Macroeconomic Variables on Stock Market Index in China and India (2011, background): “In another empirical research Ewing and Thompson (2007) also explored the cyclical correlation between industrial production, consumer prices, unemployment, and stock prices using time series filtering methods.”
Oil prices, stock markets and portfolio investment: Evidence from sector analysis in Europe over the last decade (2010, methodology): “To do so, we follow the methodology introduced by Serletis and Shahmoradi (2005) and applied by several papers to study the links between energy prices and economics activity (Ewing and Thompson, 2007; Lescaroux and Mignon, 2008).”
Clean energy industries and rare earth materials: Economic and financial issues (2013, background): “…second, rising oil prices also impact the discount rate used in the equity pricing formula used to value stocks because rising oil prices are often indicative of inflationary pressures, which central banks control by raising interest rates (Aloui et al 2012, Ewing and Thompson 2007, Filis 2010).”
Influential factors in crude oil price forecasting (2017, background): “Ewing and Thompson (2007) focus on the relationship between macroeconomic variables and crude oil prices, and find oil prices to be procyclical - i.e., leading consumer prices but lagging industrial production activities.”
On the Influence of Oil Prices on Economic Activity and Other Macroeconomic and Financial Variables (2008, unknown): “The correlation coefficient between o(t) and y(t+j), ρ(j), where j = 0, ±1, ±2, ±3, ±4, ±5, measures the degree of comovement of oil prices with economic activity variables over the business cycle (Ewing and Thompson, 2007).”