Bartosz Gebka
The benefits of combining seasonal anomalies and technical trading rules
Gebka, Bartosz; Hudson, Robert S.; Atanasova, Christina V.
Authors
Professor Robert Hudson Robert.Hudson@hull.ac.uk
Professor of Finance
Christina V. Atanasova
Abstract
Although many seasonal anomalies and technical trading rules have been shown to have predictive ability, investigations have focused only on them operating individually. We study the benefits of trading based on combinations of three of the best known effects: the moving average rule, the turn of the month effect, and the Halloween effect. We show that the rules can be combined effectively, giving significant levels of returns predictability with low risk and offering the possibility of profitable trading. This new investment approach is especially beneficial for a typical individual investor, who faces high transaction costs and is poorly diversified.
Citation
Gebka, B., Hudson, R. S., & Atanasova, C. V. (2015). The benefits of combining seasonal anomalies and technical trading rules. Finance research letters, 14, 36-44. https://doi.org/10.1016/j.frl.2015.06.001
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 19, 2015 |
Online Publication Date | Jun 26, 2015 |
Publication Date | 2015-08 |
Deposit Date | Jul 28, 2015 |
Publicly Available Date | Jul 28, 2015 |
Journal | Finance research letters |
Print ISSN | 1544-6123 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Pages | 36-44 |
DOI | https://doi.org/10.1016/j.frl.2015.06.001 |
Keywords | Technical trading; Calendar anomalies; Stock market predictability; Market efficiency |
Public URL | https://hull-repository.worktribe.com/output/377039 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S1544612315000628 |
Copyright Statement | © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Additional Information | Author's accepted manuscript of article published in: Finance research letters, 2015, v.14 |
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Copyright Statement
© 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
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