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PEMODELAN VOLATILITAS INDEKS SAHAM INFOBANK 15 PADA ERA PANDEMI COVID-19 Rosma Pakpahan; Radia Purbayati; Endang Hatma Juniwati; Agil Krisna Rivanda
Jurnal Ilmiah MEA (Manajemen, Ekonomi, & Akuntansi) Vol 6 No 3 (2022): Edisi September - Desember 2022
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1437.229 KB) | DOI: 10.31955/mea.v6i3.2469

Abstract

Penelitian ini bertujuan untuk melakukan pemodelan volatilitas dan forecasting terbaik indeks saham perbankan akibat pandemi Covid-19 di Indonesia. Dasar pertimbangan penelitian ini adalah karena belum ada penelitian sebelumnya baik secara global maupun domestik yang berfokus pada volatilitas indeks saham sektor perbankan. Penelitian sebelumnya berfokus pada volatilitas saham pada pergerakan indeks saham gabungan atau indeks berdasarkan pergerakan saham yang memiliki kapitalisasi pasar terbesar dan tingkat likuiditas tertinggi. Penelitian dilakukan pada Indeks Infobank 15 di Indonesia. Pengamatan penelitian dimulai dari tanggal 02 Januari 2019 sampai dengan 29 Juli 2022 setiap hari sesuai dengan kegiatan pada hari kerja Bursa (Senin – Jumat). Penelitian dilakukan pada variabel Indeks Infobank 15 dengan menggunakan metode ARCH/GARCH mengingat metode tersebut merupakan forecasting data time series untuk persamaan tunggal. Hasil penelitian menunjukkan bahwa model volatilitas fit terjadi pada pemodelan ARCH (1,1) atau GARCH (1,1,0) yaitu ARCH AR (1) MA(1) pada data 1st Difference (D(INDEX)). Pemodelan peramalan dengan akurasi ideal hanya dapat dilakukan hingga 8 hari ke depan.
THE EFFECT OF GDP, EXCHANGE RATE, AND INTEREST RATE ON PROFIT SHARING INCOME OF MUDHARABAH FINANCING AT ISLAMIC BANKS Ifan Nur Hidayat; Radia Purbayati
Ekspansi: Jurnal Ekonomi, Keuangan, Perbankan, dan Akuntansi Vol 15 No 1 (2023)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ekspansi.v15i1.3767

Abstract

This study aims to explain the influence of macroeconomic factors such as gross domestic product (GDP), exchange rates, and interest rates (BI Rate) on revenue sharing from mudharabah financing at Islamic Banks in Indonesia for 2016-2020. The sample selection in this study used purposive sampling with 9 selected samples from the total population of 14 Islamic Banks in Indonesia. The data used in this study are secondary data obtained from annual reports published by each Islamic Bank in the 2016-2020 period. The analytical method used in this research is panel data regression using EVIEWS 10 software and obtained the fixed effect model as the best estimation model. Based on the study's results, partially gross domestic product (GDP) and interest rates (BI Rate) have no significant effect on revenue sharing for mudharabah financing. In contrast, the exchange rate negatively and significantly impacts revenue sharing for mudharabah financing. In addition, simultaneously, the results of gross domestic product (GDP), exchange rates, and interest rates (BI Rate) significantly affect revenue sharing for mudharabah financing.
CAR, LLP, and CIR: Determinants of Islamic Commercial Banks' Financial Performance in Indonesia Anna Julianti Amalia; Radia Purbayati; Muhammad Syaiful Nurasman
Indonesian Journal of Economics and Management Vol. 5 No. 1 (2024): Indonesian Journal of Economics and Management (November 2024)
Publisher : Jurusan Akuntansi Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijem.v5i1.6570

Abstract

Abstract: Financial performance instability hampers banks' intermediary function, prompting this study to analyze Capital Adequacy Ratio (CAR), Loan Loss Provision (LLP), and Cost to Income Ratio (CIR) effects on Financial Performance proxied through Return on Asset (ROA) at Indonesian Islamic Commercial Banks for the Period 2015-2023. Using quantitative descriptive methods, secondary data from 16 banks' annual reports were analyzed through panel data regression via STATA 17. The Random Effect Model was selected. Results show CAR, LLP, and CIR simultaneously significantly affect ROA. Individually, CAR positively impacts ROA, while LLP and CIR negatively affect it. These findings demonstrate that Indonesian Islamic Commercial Banks must maintain adequate capital, appropriate loss reserves, and efficient operating cost management to strengthen financial performance. Keywords: ROA, CAR, LLP, CIR
The Effect of Liquidity, Leverage, Operating Capacity, Profitability, and Sales Growth as Predictors of Financial Distress : (Property, Real Estate, and Construction Services Companies Listed on the IDX) Agil Krisna Rivanda; Kurnia Fajar Afgani; Radia Purbayati; Marziana Madah Marzuki
Journal Integration of Management Studies Vol. 1 No. 1 (2023)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jims.v1i1.15

Abstract

This paper begins with analyzing financial ratios by examining the effect of liquidity, leverage, operating capacity, profitability, and sales growth as predictors of firms' financial distress risk. The study employs a statistical method (logit model). Using 38 property, real estate, and construction services firms listed on the Indonesia Stock Exchange between 2016 and 2022, 646 observations were collected and analyzed using logistic regression. The results show that leverage, operating capacity, and profitability positively and significantly influenced predicting financial distress risk, while liquidity and sales growth do not affect predicting financial distress risk. The result of model calcification accuracy is 84%; this shows that the model can accurately predict the financial distress risk of property, real estate, and construction services companies in the study period of 543 observations from 646 observations or 84%. This study concludes that profitability, leverage, and operating capacity influence the financial distress risk on property, real estate, and construction services companies.