
The Determinants of Net Interest Margin: An Empirical Study of Indonesia Category-IV Banks for the Period of 2014-2017
Author(s) -
Chandra Setiawan,
Ni Made Maylananda Maharani Wisna
Publication year - 2021
Publication title -
estudios de economía aplicada
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 6
eISSN - 1697-5731
pISSN - 1133-3197
DOI - 10.25115/eea.v39i12.6179
Subject(s) - net interest margin , capital adequacy ratio , volatility (finance) , econometrics , economics , interest rate , loan , monetary economics , nonprobability sampling , statistics , mathematics , finance , microeconomics , demography , profit (economics) , population , sociology
Bank’s Net Interest Margin (NIM) is a key indicator on how bank performs its intermediary function and necessary for the financial system stability. NIM is influenced by both internal and external determinants. This study aims to analyze these internal and external determinants of NIM for Indonesia’s Category-IV banks in the period of 2014 to 2017. The internal determinants used as independent variables are Loan to Deposit Ratio (LDR), Operating Efficiency Ratio (OER), and Capital Adequacy Ratio (CAR). Meanwhile, the external determinants used as independent variables are Interest Rate volatility and Inflation. This study uses four Indonesia’s Category-IV banks which were chosen by purposive sampling methodology based on criteria set with quarterly time horizon. These 4 commercial banks are those listed as ‘Category-IV’ or BUKU 4 during the study’s time frame. The statistical approach being used is panel least square fixed effect model. This study reveals that Loan to Deposit Ratio (LDR), Operating Efficiency Ratio (OER), and Inflation have positive significant influence toward NIM. In contrast, Capital Adequacy Ratio (CAR) shows negative significant influence, while Interest Rate volatility contributes insignificantly to NIM. The overall findings underlined that contribution of internal factors are consistent in influencing the value of NIM in a significant way.