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Direction‐of‐Change Financial Time Series Forecasting using a Similarity‐Based Classification Model

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  • Andrew Skabar

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  • Andrew Skabar, 2013. "Direction‐of‐Change Financial Time Series Forecasting using a Similarity‐Based Classification Model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 409-422, August.
    • Handle: RePEc:wly:jforec:v:32:y:2013:i:5:p:409-422
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    Cited by:

    1. Stanislav Anatolyev, 2021. "Directional news impact curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 94-107, January.
    2. Dimitris Andriosopoulos & Michalis Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1581-1599, October.
    3. Ben Moews & Gbenga Ibikunle, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Papers 2002.10385, arXiv.org.
    4. Guidolin, Massimo & Wang, Kai, 2023. "The empirical performance of option implied volatility surface-driven optimal portfolios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    5. Alireza Jafari & Saman Haratizadeh, 2022. "NETpred: Network-based modeling and prediction of multiple connected market indices," Papers 2212.05916, arXiv.org.
    6. Moews, Ben & Ibikunle, Gbenga, 2020. "Predictive intraday correlations in stable and volatile market environments: Evidence from deep learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
    7. Alireza Jafari & Saman Haratizadeh, 2022. "GCNET: graph-based prediction of stock price movement using graph convolutional network," Papers 2203.11091, arXiv.org, revised Aug 2022.
    8. Luis H. R. Alvarez E. & Paavo Salminen, 2017. "Timing in the presence of directional predictability: optimal stopping of skew Brownian motion," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(2), pages 377-400, October.

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