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Forecasting stock prices using a data mining method: Evidence from emerging market

Author

Listed:
  • Saqib Farid
  • Rubeena Tashfeen
  • Tahseen Mohsan
  • Arsal Burhan
Abstract
Stock price forecasting is considered a challenging task because of the various characteristics of financial time series. In this study, we attempt to predict stock prices using data mining techniques in an emerging market. The study uses decision tree model, CRISP‐DM (Cross‐Industry Standard Process for data mining) for analysis by employing WEKA software. The study sample consists of ten firms of five different sectors listed on Pakistan Stock Exchange (PSX). The findings show accuracy ratios range between 50% and 60%. The findings imply that market participants can disclose higher returns by considering information embedded in previous stock prices. In addition, investors can take more prudent buy‐sell decisions in view of our findings.

Suggested Citation

  • Saqib Farid & Rubeena Tashfeen & Tahseen Mohsan & Arsal Burhan, 2023. "Forecasting stock prices using a data mining method: Evidence from emerging market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1911-1917, April.
    • Handle: RePEc:wly:ijfiec:v:28:y:2023:i:2:p:1911-1917
    DOI: 10.1002/ijfe.2516
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    References listed on IDEAS

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    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Peiró, Amado, 2016. "Stock prices and macroeconomic factors: Some European evidence," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 287-294.
    3. Lev, B & Thiagarajan, Sr, 1993. "Fundamental Information Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 31(2), pages 190-215.
    4. Basak, Suryoday & Kar, Saibal & Saha, Snehanshu & Khaidem, Luckyson & Dey, Sudeepa Roy, 2019. "Predicting the direction of stock market prices using tree-based classifiers," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 552-567.
    5. Jensen, Michael C., 1978. "Some anomalous evidence regarding market efficiency," Journal of Financial Economics, Elsevier, vol. 6(2-3), pages 95-101.
    6. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    7. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    8. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. repec:pri:cepsud:91malkiel is not listed on IDEAS
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. Laopodis, Nikiforos T., 2011. "Equity prices and macroeconomic fundamentals: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 247-276, April.
    12. Dev Shah & Haruna Isah & Farhana Zulkernine, 2019. "Stock Market Analysis: A Review and Taxonomy of Prediction Techniques," IJFS, MDPI, vol. 7(2), pages 1-22, May.
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