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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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Cites
EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*
Malkiel, B. G., & Fama, E. F. (1970) · The Journal of Finance · doi:10.1111/j.1540-6261.1970.tb00518.x · Cited by 24,478
Efficient capital markets: A review of theory and empirical work
Fama, E. F. (1970) · The Journal of Finance · doi:10.2307/2325486 · Cited by 13,635
Diebold, F. X., & Mariano, R. S. (1994) · National Bureau of Economic Research · doi:10.3386/t0169 · Cited by 5,498
FAMA, E. F. (1991) · The Journal of Finance · doi:10.1111/j.1540-6261.1991.tb04636.x · Cited by 5,350
Martingales and arbitrage in multiperiod securities markets
Harrison, J. M., & Kreps, D. M. (1979) · Journal of Economic Theory · doi:10.1016/0022-0531(79)90043-7 · Cited by 3,596
Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model
Engle, R. F., Lilien, D. M., & Robins, R. P. (1987) · Econometrica · doi:10.2307/1913242 · Cited by 2,469
Diebold, F. X., & Mariano, R. S. (1995) · Journal of Business and Economic Statistics · doi:10.2307/1392185 · Cited by 2,340
Simple technical trading rules and the stochastic properties of stock returns
BROCK, W., LAKONISHOK, J., & LeBARON, B. (1992) · The Journal of Finance · doi:10.1111/j.1540-6261.1992.tb04681.x · Cited by 2,301
Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns
Hansen, L. P., & Singleton, K. J. (1983) · Journal of Political Economy · doi:10.1086/261141 · Cited by 1,594
Some anomalous evidence regarding market efficiency
Jensen, M. C. (1978) · Journal of Financial Economics · doi:10.1016/0304-405x(78)90025-9 · Cited by 1,447
Research works printed but not linked: 2
- Engle, 1993, Arbitrage valuation of variance forecasts using simulated options, Advances in Futures and Options Research, 6, 393
- Granger, C. W., & Jeon, Y. (2003) Thick Modelling, Journal of Economic Modeling, in press. UCSD, Mimeo.
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Sorted by citations
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Temporary price trends in the stock market with rational agents
Ichkitidze, Y. R. (2017) · The Quarterly Review of Economics and Finance · doi:10.1016/j.qref.2017.11.014 · Cited by 2
Malini, H. (2021) · Management and Sustainable Development Journal · doi:10.46229/msdj.v3i1.203 · Cited by 2
Ciemny, M., & Selitskiy, S. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-92604-5_13 · Cited by 2
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Lakshmi, V., Sisodia, G., Joseph, A., & Tiwari, A. K. (2023) · International Journal of Finance & Economics · doi:10.1002/ijfe.2818 · Cited by 2
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Navas, R. D., & Bentes, S. R. (2023) · Review of Business Management · doi:10.7819/rbgn.v25i2.4224 · Cited by 2
Predicting the Direction of Stock Price Movement with Machine Learning Algorithms
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Modeling Long-Term Relationships in Philippine Stock Market (PSE) Indices: A Cointegration Analysis
Sucuahi, W. T., & Bije, E. M. (2020) · Asian Economic and Financial Review · doi:10.18488/journal.aefr.2020.109.989.998 · Cited by 2
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Yulianti, E. B., & Siregar, I. W. (2020) · International Conference on Environmental and Technology of Law, Business and Education on Post Covid 19 (ICETLAWBE) · doi:10.4108/eai.26-9-2020.2302740 · Cited by 2
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Bielskis, A., & Belovas, I. (2026) · Networks and Heterogeneous Media · doi:10.3934/nhm.2026035 · Cited by 1
Simiyu, R. S., Osero, S. M., & Odoyo, F. S. (2014) · Research Journal of Finance and Accounting · Cited by 1
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Ramona, F. (2011) · Annals of University of Craiova - Economic Sciences Series · Cited by 1
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Armeanu, D., & Cioacã, S.-I. (2014) · RePEc: Research Papers in Economics · Cited by 1
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Okur, M., & Gürbüz, A. O. (2014) · IGI Global eBooks · doi:10.4018/978-1-4666-6268-1.ch019 · Cited by 1
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Okur, M., & Gürbüz, A. O. (2013) · Advances in finance, accounting, and economics book series · doi:10.4018/978-1-4666-4635-3.ch017 · Cited by 1
Moyo, B., & Makoni, P. L. (2011) · Corporate Ownership and Control · doi:10.22495/cocv9i1c6art7 · Cited by 1
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Macindoe, A., & Arandjelović, O. (2018) · IEEE International Conference on Big Knowledge (ICBK) · doi:10.1109/icbk.2018.00061 · Cited by 1
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Ijaz, S. T. (2011) · IBT Journal of Business Studies · doi:10.46745/ilma.jbs.2015.11.02.04 · Cited by 1
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Spillover effects in the financial year cycle for Indian markets
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Nikolopoulos, K. I., & Thomakos, D. D. (2019) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-3-319-68837-4_12 · Cited by 1
Wang, Q. (2021) · International Conference on Computer, Blockchain and Financial Development (CBFD) · doi:10.1109/cbfd52659.2021.00064 · Cited by 1
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Khot, A., Bhat, R., Urunkar, A. A., & Mudegol, N. L. (2022) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet54531.2022.9824109 · Cited by 1
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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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