The paper examines whether the Moving Average (MA) technique can outperform random market timing in the energy sector, compiled of fossil and renewable energy producers. According to the Capital Asset Pricing Model, random timing is a superior trading strategy in the long run. However, the MA technique may be more successful, if there are predictable stochastic trends in the price series. In the paper, eight representative firms are selected for both fossil and renewable portfolios with actually tradable stocks in order to create two Exchange-Traded Funds (ETF). The paper finds that MA timing outperforms random timing for the ETF of renewable energy companies, but not for the ETF of fossil energy companies.

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doi.org/10.1016/j.egyr.2020.06.029, hdl.handle.net/1765/128797
Energy Reports
Department of Econometrics

Chang, C-L, Ilomäki, J, Laurila, H, & McAleer, M.J. (2020). Market timing with moving averages for fossil fuel and renewable energy stocks. Energy Reports, 6, 1798–1810. doi:10.1016/j.egyr.2020.06.029