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Maximizing Retirement Savings: Strategic Forecasting of Employees’ Provident Fund (EPF) Dividends

Author

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  • Mohd Zaki Awang Chek

    (Actuarial Science Department, UiTM Perak Branch)

  • Isma Liana Ismail

    (Statistics and Decision Science Department, UiTM Perak Branch)

Abstract

This study embarks on an analytical drive to project future dividends of the Employees Provident Fund (EPF) by harnessing the historical dividend data spanning from 1952 to 2023. With a comprehensive methodology that fuses both descriptive and inferential statistical approaches, the study conducts an in-depth examination of the fluctuations and trends in EPF dividend rates across seventy years. Utilizing EXCEL statistical tools, such regression models, it examines into identifying the pivotal factors that have historically influenced EPF dividends, thereby enabling the prediction of their future trajectories. This endeavor aims to refine the strategies employed in financial planning, ensuring they are more aligned with predicted outcomes.

Suggested Citation

  • Mohd Zaki Awang Chek & Isma Liana Ismail, 2024. "Maximizing Retirement Savings: Strategic Forecasting of Employees’ Provident Fund (EPF) Dividends," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(5), pages 309-319, May.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:5:p:309-319
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    References listed on IDEAS

    as
    1. Mao, Hong & Ostaszewski, Krzysztof M. & Wang, Yuling, 2014. "Optimal retirement age, leisure and consumption," Economic Modelling, Elsevier, vol. 43(C), pages 458-464.
    2. Wooi Chen Khoo & Kim Leng Yeah & Shun Yi Hong, 2022. "Modeling unemployment duration, determinants and insurance premium pricing of Malaysia: insights from an upper middle-income developing country," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
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