Template-Type: ReDIF-Paper 1.0
Author-Name: Chang, C-L.
Author-Name-Last: Chang
Author-Name-First: Chia-Lin
Author-Person: pch286
Author-Name: Ilomäki, J.
Author-Name-Last: Ilomäki
Author-Name-First: Jukka
Author-Name: Laurila, H.
Author-Name-Last: Laurila
Author-Name-First: Hannu
Author-Name: McAleer, M.J.
Author-Name-Last: McAleer
Author-Name-First: Michael
Author-Person: pmc90
Title: Market Timing with Moving Averages for Fossil Fuel and Renewable Energy Stocks
Abstract: 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.
Length: 33
Creation-Date: 2018-09-01
File-URL: https://repub.eur.nl/pub/111616/EI2018-44.pdf
File-Format: application/pdf
Series: RePEc:ems:eureir
Number: EI2018-44
Classification-JEL: C22, C32, L71, L72, Q16, Q42, Q47
Keywords: Moving averages, market timing, industrial sector, energy sector, fossil fuels, renewable, energy, random timing, sunrise branches, sunset branches
Handle: RePEc:ems:eureir:111616