EconPapers    
Economics at your fingertips  
 

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

Mohd Zaki Awang Chek and Isma Liana Ismail
Additional contact information
Mohd Zaki Awang Chek: Actuarial Science Department, UiTM Perak Branch
Isma Liana Ismail: Statistics and Decision Science Department, UiTM Perak Branch

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 5, 309-319

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.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... -issue-5/309-319.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... -fund-epf-dividends/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:8:y:2024:i:5:p:309-319

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().

 
Page updated 2025-03-19
Handle: RePEc:bcp:journl:v:8:y:2024:i:5:p:309-319