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All Journal FINANCIAL : JURNAL AKUNTANSI Jurnal Manajemen Bisnis dan Kewirausahaan
Sanfa, Adiska Shabrina
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Economics, Econometrics & Finance Social Sciences

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FINANCIAL RATIOS PREDICTORS OF FINANCIAL SUSTAINABILITY OF THE BANKING SECTOR IN INDONESIA Sanfa, Adiska Shabrina; Ida, Ida
JURNAL AKUNTANSI FINANCIAL STIE SULTAN AGUNG Vol 9 No 1 (2023)
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/financial.v9i1.491

Abstract

This study was conducted to predict the effect of financial ratios on the Financial Sustainability Ratio (FSR). The financial ratios used include Non-Performing Loan (NPL), Loan Deposit Ratio (LDR), Net Interest Margin (NIM), Return on Assets (ROA), Capital Adequacy Ratio (CAR), and Operating Expenses to Operating Income (BOPO). Sampling using purposive sampling of as many as 36 Conventional Commercial Bank companies in Indonesia with a research period of 2019-2021 so that 108 observation data were obtained. The analysis method used is multiple linear regression analysis, and the test results show that NPL, LDR, NIM, CAR, and BOPO do not affect FSR. Meanwhile, ROA has a positive influence on FSR. The prediction results of this study estimate that NPL, LDR, NIM, ROA, CAR, and BOPO can influence 6.7% of FSR changes. Meanwhile, 93.3% is influenced by other variables not included in the research model. Therefore, the suggested implication for the company is the company needs to maintain bank performance to increase customer confidence in banks, and banks must have the ability to manage funds to increase ROA.Keywords: FSR, NPL, LDR, NIM,  ROA, CAR, BOPO
Pengaruh faktor-faktor makroekonomi pada dinamika Indeks Harga Saham Gabungan (IHSG) Sanfa, Adiska Shabrina; Tjandrasa, Benny Budiawan
Jurnal Manajemen Bisnis dan Kewirausahaan Vol 8 No 6 (2024): Jurnal Manajemen Bisnis dan Kewirausahaan
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmbk.v8i6.32167

Abstract

Analyzing the influence of macroeconomic factors on the Jakarta Composite Index (JCI) is the objective of this study. Changes in the index value indicate changes in market conditions. The movement of the JCI is influenced by internal and external factors. External factors include macroeconomic factors that come from outside the company. The independent macroeconomic variables used in this study are exchange rate (EXR), general election (GE), inflation (INF), interest rate (INT), New York Stock Exchange (NYSE), world gold price (WGP), world oil price (WOP), and JCI prior time (JCI(-1)). Sampling in this study used purposive sampling, resulting in a sample of monthly time series data covering two election events from January 2016 to February 2024. The multiple linear regression analysis test results show that the Jakarta Composite Index (JCI) is not affected by GE, INF, or WGP. In contrast, EXR, INT, NYSE, WOP, and JCI(-1) have a significant effect on JCI. Based on the results of the factor influence study, 94.2% of the JCI may be influenced by the variables studied. Meanwhile, factors that are not included in this research model have an influence of 5.8%. The suggested implication is that the government needs to continue to encourage economic growth to increase the attractiveness of investment in Indonesia. Menganalisis pengaruh faktor makroekonomi terhadap Indeks Harga Saham Gabungan (IHSG) yang menjadi tujuan penelitian ini. Perubahan dalam nilai indeks mengindikasikan perubahan kondisi pasar. Pergerakan IHSG dipengaruhi oleh faktor internal dan faktor eksternal. Faktor eksternal mencakup faktor-faktor makroekonomi yang berasal dari luar perusahaan. Variabel independen makroekonomi yang digunakan dalam penelitian ini adalah nilai tukar (EXR), pemilihan umum (GE), inflasi (INF), suku bunga (INT), New York Stock Exchange (NYSE), harga emas dunia (WGP), harga minyak dunia (WOP), dan IHSG prior time (IHSG(-1)). Pengambilan sampel dalam penelitian ini menggunakan purposive sampling, sehingga dihasilkan sampel penelitian ini adalah data time series bulanan yang mencakup dua peristiwa pemilu dari bulan Januari 2016 hingga bulan Februari 2024. Hasil uji analisis regresi linier multipel menunjukkan bahwa Indeks Harga Saham Gabungan (IHSG) tidak terpengaruh oleh GE, INF, atau WGP. Sebaliknya, EXR, INT, NYSE, WOP, dan IHSG(-1) berpengaruh signifikan terhadap IHSG. Berdasarkan hasil penelitian pengaruh faktor, 94,2% IHSG kemungkinan dipengaruhi oleh variabel yang diteliti. Sedangkan, faktor yang tidak dimasukkan dalam model penelitian ini mempunyai pengaruh sebesar 5,8%. Implikasi yang disarankan adalah pemerintah perlu terus mendorong pertumbuhan ekonomi guna meningkatkan daya tarik investasi di Indonesia.
Co-Authors Ida Ida, Ida Tjandrasa, Benny Budiawan