RT Report
T1 Market Timing with Moving Averages for Fossil Fuel and Renewable Energy Stocks
A1 Chang, Chia-Lin
A1 Ilomäki, Jukka
A1 Laurila, Hannu
A1 McAleer, Michael
AB The paper examines whether the moving average (MA) technique can beat random market timing in traditional and newer branches of an industrial sector. The sector considered is the energy sector, divided into balanced stock portfolios of fossil and renewable energy companies. Eight representative firms are selected for both portfolios. The paper finds that MA timing outperforms random timing with the portfolio of renewable energy companies, whereas the result is less clear with the portfolio of fossil energy companies. Thus, there seems to be more forecastable stochastic trends in sunrise branches than in sunset branches.
SN 2341-2356
YR 2018
FD 2018-09
LK https://hdl.handle.net/20.500.14352/17441
UL https://hdl.handle.net/20.500.14352/17441
LA eng
NO For financial support, the first author wishes to acknowledge the Ministry of Science and Technology (MOST), Taiwan, and the fourth author is grateful to the Australian Research Council and Ministry of Science and Technology (MOST), Taiwan.
NO the Ministry of Science and Technology (MOST), Taiwan
NO the Australian Research Council
DS Docta Complutense
RD 7 sept 2025