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Using Machine Learning for Short-term Capital Investment in the Polish Stock Market

Author

Listed:
  • Trippner Paweł

    (1 Department of Finance, University of Social Sciences, Lodz, Poland)

  • Jóźwicki Rafał

    (2 Department of Finance and Accounting of SME’s, University of Lodz, Poland)

Abstract

The main purpose of this article is to assess the potential implications of machine learning in making investment decisions when investing capital in stock markets. The analysis carried out focuses on the so-called day-trading, i.e., investing for very short periods of time, covering only one stock market session. The hypothesis adopted by the authors is that the use of machine learning can, under certain conditions, effectively contribute to attractive rates of return for players making short-term investments.

Suggested Citation

  • Trippner Paweł & Jóźwicki Rafał, 2023. "Using Machine Learning for Short-term Capital Investment in the Polish Stock Market," Journal of Intercultural Management, Sciendo, vol. 15(4), pages 93-104, December.
    • Handle: RePEc:vrs:joinma:v:15:y:2023:i:4:p:93-104:n:4
    DOI: 10.2478/joim-2023-0019
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    More about this item

    Keywords

    stock market; investment strategies; machine learning; capital market; artificial intelligence;
    All these keywords.

    JEL classification:

    • E - Macroeconomics and Monetary Economics
    • E - Macroeconomics and Monetary Economics
    • G - Financial Economics
    • G - Financial Economics

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