Intraday Anomalies and Market Efficiency: A Trading Robot Analysis
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- Guglielmo Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2016. "Intraday Anomalies and Market Efficiency: A Trading Robot Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 275-295, February.
- Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2014. "Intraday Anomalies and Market Efficiency: A Trading Robot Analysis," Discussion Papers of DIW Berlin 1377, DIW Berlin, German Institute for Economic Research.
References listed on IDEAS
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- Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2019. "Price Gap Anomaly in the US Stock Market: The Whole Story," Working Papers 201963, University of Pretoria, Department of Economics.
- Su, Zhifang & Bao, Haohua & Li, Qifang & Xu, Boyu & Cui, Xin, 2022. "The prediction of price gap anomaly in Chinese stock market: Evidence from the dependent functional logit model," Finance Research Letters, Elsevier, vol. 47(PB).
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- Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Härdle, 2021.
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- Petukhina, Alla A. & Reule, Raphael C. G. & Härdle, Wolfgang Karl, 2019. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," IRTG 1792 Discussion Papers 2019-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
- Alla A. Petukhina & Raphael C. G. Reule & Wolfgang Karl Hardle, 2020. "Rise of the Machines? Intraday High-Frequency Trading Patterns of Cryptocurrencies," Papers 2009.04200, arXiv.org.
- I. Marta Miranda García & María‐Jesús Segovia‐Vargas & Usue Mori & José A. Lozano, 2023. "Early prediction of Ibex 35 movements," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1150-1166, August.
- V. Vismayaa & K. R. Pooja & A. Alekhya & C. N. Malavika & Binoy B. Nair & P. N. Kumar, 2020. "Classifier Based Stock Trading Recommender Systems for Indian stocks: An Empirical Evaluation," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 901-923, March.
- Girardin, Eric & Salimi Namin, Fatemeh, 2019.
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- Mohammad Arashi & Mohammad Mahdi Rounaghi, 2022. "Analysis of market efficiency and fractal feature of NASDAQ stock exchange: Time series modeling and forecasting of stock index using ARMA-GARCH model," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
- Maria Caporale, Guglielmo & Zakirova, Valentina, 2017. "Calendar anomalies in the Russian stock market," Russian Journal of Economics, Elsevier, vol. 3(1), pages 101-108.
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More about this item
Keywords
efficient market hypothesis; intraday patterns; time of the day anomaly; trading strategy;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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