Acworth, P.A., Broadie, M. and Glasserman, P. (1998) A Comparison of Some Monte Carlo and Quasi Monte Carlo Techniques for Option Pricing. In: Niederreiter, H., Hellekalek, P., Larcher, G. and Zinterhof, P., Eds., Monte Carlo and Quasi-Monte Carlo Methods 1996. Lecture Notes in Statistics, Vol. 127, Springer, New York, 1-18.
https://doi.org/10.1007/978-1-4612-1690-2_1

has been cited by the following article:

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

  AUTHORS: Mohd Izhan Mohd Yusoff

  KEYWORDS: Employee Provident Fund (EPF), Median Savings, Dividends, Monte Carlo Simulation

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.11 No.3, June 5, 2023

  ABSTRACT: 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.