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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Financial Aid of Higher Education in Malaysia: A Study Loan Case

Norbaiti Tukiman, Set Foong Ng, Maryam Nuha Mohamad Najib, Mimi Syakina Abdul Samat, Muhammad Hafizzuddin Izani

http://dx.doi.org/10.6007/IJARBSS/v12-i7/14094

Open access

The increment of financial expenses to study at higher education may concern all students and their parents. Not all parents are able to save enough money to bear the financial cost and thus making them apply for a study loan. Therefore, many private and government institutions offer an attractive loan to overcome this problem. Most of the finance institutions apply ordinary annuity method to calculate the installment and interest rate of the study loan. However, the mathematical model involved is a non-linear equation that causes the difficulty in calculating the interest rate. Thus, the main objective of this study is to solve a problematic situation to find the interest rate of a study loan based on Newton-Raphson method. By a scenario case, this method is found be a practical method, faster, more reliable, and produces accurate result in estimating the unknown interest rate. The method demonstrated in this study could provide a guideline for students or clients who need financial aid to higher education to find out the comprehensive and affordable interest rate. Hence, the clients or students could choose the best rate before proceeding the agreement of the loan for their further repayment in study loan.

Akram, S., & Ann, Q. U. (2015). Newton Raphson Method. International Journal of Scientific & Engineering Research, 6(7), 1748-1752.
Baker, A. R., Andrews, B. D., & McDaniel, A. (2017). The impact of student loans on college access, completion, and returns. Sociology Compass, 11(6), e12480.
https://doi.org/10.1111/soc4.12480
Baradi, N. K., & Malla, V. D. K. (2017). Educational loans from scheduled commercial banks: A critical assessment. Research Journal of Finance and Accounting, 8(1), 56-61.
Bertola, G., & Hochguertel, S. (2007). Household debt and credit: Economic issues and data problems. Economic Notes, 36(2), 115-146.
Nagares, N., Sison, A., & Medina, R. (2019). An optimized Newton-Raphson algorithm for approximating internal rate of return. International Journal of Advanced Trends in Computer Science and Engineering, 8(6), 3265–3268.
https://doi.org/10.30534/ijatcse/2019/95862019
Park, T., Yusuf, A. A., & Hadsall, R. S. (2015). Pharmacy students’ attitudes toward debt. American Journal of Pharmaceutical Education, 79(4), 52.
https://doi.org/10.5688/ajpe79452
Redd, K. E. (2001). Why do students borrow so much? Recent National Trends in Student Loan Debt. ERIC Digest. ERIC Clearinghouse on Higher Education Washington DC.
Vaicondam, Y., & Wen, O. H. (2020). Education loan repayment intention. International Journal of Psychosocial Rehabilitation, 24(1), 758–765.
https://doi.org/10.37200/ijpr/v24i1/pr200179
Woo, J. H. (2002). Factors affecting the probability of default: student loans in California. Journal of Student Financial Aid, 32(2), 5-23. https://doi.org/10.55504/0884-9153.1179
Ypma, T. J. (1995). Historical development of the Newton–Raphson method. SIAM review, 37(4), 531-551. https://doi:10.1137/1037125
Zakaria, N. B., Rasyid, M., Mohamed, N., Daud, D., & Ismail, A. M. (2020). Study loan defaults among tertiary graduates. International Journal of Financial Research, 11(3), 125-130. https://doi.org/10.5430/ijfr.v11n3p125

In-Text Citation: (Tukiman et al., 2022)
To Cite this Article: Tukiman, N., Ng, S. F., Najib, M. N. M., Abdul Samat, M. S., & Izani, M. H. (2022). Financial Aid of Higher Education in Malaysia: A Study Loan Case. International Journal of Academic Research in Business and Social Sciences. 12(7), 593 – 600.