Making Sense of Anything thru Analytics: Employees Provident Fund (EPF)

作     者：Mohd Izhan Mohd Yusoff Mohd Izhan Mohd Yusoff

作者机构：Telekom Malaysia Berhad Kuala Lumpur Malaysia 

出 版 物：《Open Journal of Modelling and Simulation》 (建模与仿真（英文）)

年 卷 期：2023年第11卷第3期

页      面：51-59页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Employee Provident Fund (EPF) Median Savings Dividends Monte Carlo Simulation 

摘      要：Employees Provident Fund (EPF) has always been a hot topic, from the previous Government permitted “withdrawals during the pandemic to the present Government disallowing further withdrawals (afraid it would lead to a financial crisis) and allowing emergency loans through an EPF collateral agreement. The latter used median studies to “contribute MYR 500 to EPF members with less than RM 10,000 in their accounts. Baffled/bewildered by the current Government’s generosity and highlighted in this paper, I used Monte Carlo simulation, a method used by analysts when determining the size of a client’s portfolio to support their desired retirement lifestyle, to establish a reference-type table displaying ideal savings when reaching 50. The Government could use the table mentioned above to give more meaningful contributions to EPF members, apart from EPF active and inactive members, knowing where they stand concerning their current EPF savings.