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Efficient market hypothesis and forecasting
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“Indeed, a technical trading rule may predict cryptocurrency movements in the sense of generating significant returns but still not be profitable once the excess returns are adjusted for transaction costs (Timmermann and Granger 2004).”
From Technical trading and cryptocurrencies (2021) · cites this paper as Timmermann and Granger 2004
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Metadata
- Authors
- Timmermann, A., & Granger, C. W. J.
- Affiliations
- University of California San Diego (US)
- Corresponding author
- Timmermann, Allan
- ORCID
- Timmermann, Allan
- Venue
- International Journal of Forecasting
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 20
- Issue
- 1
- Pages
- 15-27
- ISSN
- 0169-2070 (ISSN-L)
- OpenAlex
- W2121224351
- Cited by
- 517
- References
- 35
- Citations by year
- 2026: 19 · 2025: 27 · 2024: 29 · 2023: 30 · 2022: 24 · 2021: 23 · 2020: 31 · 2019: 27 · 2018: 32 · 2017: 28 · 2016: 22 · 2015: 35 · 2014: 37 · 2013: 32 · 2012: 33
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Forecasting (publishedVersion)
- OpenGrey (Institut de l'Information Scientifique et Technique) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Keywords
- efficient market hypothesis, market efficiency testing, trade opportunities, non-stationarity, financial returns
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