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Forecasting Modeling of Day of the Week Calendar Anomalies in Pakistan Stock Exchange: An Artificial Intelligence Perspective

Author

Listed:
  • Abdul Karim

    (PhD Scholar, Institute of Business Administration, Khwaja Fareed University of Engineering and Information Technology, Pakistan)

  • Abdul Rasheed

    (Assistant Professor, Institute of Business Administration, Khwaja Fareed University of Engineering and Information Technology, Pakistan)

Abstract

Stock price forecasting provide valuable insight to the investor to facilitate well-informed investment decision making. The aim of this study is to examine the calendar anomalies i.e. DOW in Pakistan stock exchange though Artificial intelligence techniques. For this purpose, Support vector machine (SVM), Decision Tree (DT) and Artificial Neural Network is used to forecast the daily stock prices. The daily stock prices data of KSE100 index ranges from May,1994 to August 2023 is used as out variable while stock open, close, high and low prices are used as features/input variables. The training and testing ratio was 80:20 means 80% of the data was used in training and the 20% values were utilized for forecasting. To evaluate the accuracy of predictions, mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE)/mean absolute deviation (MAD), mean absolute percent error (MAPE), and R-squared (R^2) are taken as decision criteria. The daily forecasted stock prices show the almost zero error on Tuesday, Wednesday and Thursday in SVM. Decision tree show very low error in actual and forecasted stock prices. Therefore, it is concluded that, the DOW anomalies exist in KSE100 index of PSX. Results show that, SVM can better predict the stock prices than DT and ANN. These results conclude that the forecasted stock prices are much closer to actual daily stock price means the daily stock prices can be forecast in KSE100 index. These finding contradicts the Efficient market hypothesis and conclude that the Pakistan stock exchange (PSX) is weak-form inefficient market.

Suggested Citation

  • Abdul Karim & Abdul Rasheed, 2024. "Forecasting Modeling of Day of the Week Calendar Anomalies in Pakistan Stock Exchange: An Artificial Intelligence Perspective," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 436-447.
    • Handle: RePEc:rfh:bbejor:v:13:y:2024:i:2:p:436-447
    DOI: https://doi.org/10.61506/01.00351
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    References listed on IDEAS

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    1. Sadia Anjum, 2020. "Impact of market anomalies on stock exchange: a comparative study of KSE and PSX," Future Business Journal, Springer, vol. 6(1), pages 1-11, December.
    2. Vilija Aleknevičienė & Vaida Klasauskaitė & Eglė Aleknevičiūtė, 2022. "Behavior of calendar anomalies and the adaptive market hypothesis: evidence from the Baltic stock markets," Journal of Baltic Studies, Taylor & Francis Journals, vol. 53(2), pages 187-210, April.
    3. Khushboo Aggarwal & Mithilesh Kumar Jha, 2023. "Stock returns seasonality in emerging asian markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 109-130, March.
    4. 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.
    5. Wen, Fenghua & Xu, Longhao & Ouyang, Guangda & Kou, Gang, 2019. "Retail investor attention and stock price crash risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 65(C).
    6. Bengü Yardımcı & Sabri Erdem, 2020. "The day of the week effects in stock markets of countries with predominantly Muslim populations," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing Limited, vol. 13(2), pages 195-218, February.
    7. John Fender, 2020. "Beyond the efficient markets hypothesis: Towards a new paradigm," Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 333-351, July.
    8. Mumtaz Hussain & Salma Sadiq & Muhammad Haroon Rasheed & Khurram Amin, 2022. "Exploring the Dynamics of Investors’ Decision Making in Pakistan Stock Market: A Study of Herding Behavior," Journal of Economic Impact, Science Impact Publishers, vol. 4(1), pages 165-173.
    9. Sidra Riaz & Yusen Xu & Shahid Hussain, 2019. "Workplace Ostracism and Knowledge Hiding: The Mediating Role of Job Tension," Sustainability, MDPI, vol. 11(20), pages 1-16, October.
    10. Bahrawar Said & Shafiq Ur Rehman & Rizwan Ullah & Javed Khan & David McMillan, 2021. "Investor overreaction and global financial crisis: A case of Pakistan stock exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1966195-196, January.
    11. Sakhr Miss & Michel Charifzadeh & Tim A. Herberger, 2020. "Revisiting the monday effect: a replication study for the German stock market," Management Review Quarterly, Springer, vol. 70(2), pages 257-273, May.
    12. Pagano, Marco, 1993. "Financial markets and growth: An overview," European Economic Review, Elsevier, vol. 37(2-3), pages 613-622, April.
    13. El Mehdi Ferrouhi & Omar Kharbouch & Samir Aguenaou & Muhammad Naeem & David McMillan, 2021. "Calendar anomalies in African stock markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 9(1), pages 1978639-197, January.
    14. Badal Khan & Muhammad Aqil & Syed Hasnain Alam Kazmi & Syed Imran Zaman, 2023. "Day‐of‐the‐week effect and market liquidity: A comparative study from emerging stock markets of Asia†," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 544-561, January.
    15. Muhammad Sarmad Irtiza & Shahbaz Khan & Nida Baig & Syed Muhammad Ali Tirmizi & Ilyas Ahmad, 2021. "The turn-of-the-month effect in Pakistani stock market," Future Business Journal, Springer, vol. 7(1), pages 1-11, December.
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