<p><em>The aims of this study is to examine the business resilience of the Islamic banking in Indonesia, and predicts the recovery of Islamic banking performance due to the shock of the Covid-19 Pandemic. The population in this study was Islamic Commercial Banks. The research focused on all Islamic Banking in Indonesia, period January 2017 to May 2022 as many as 12 Sharia Commercial Banks consisting of 1 bank in the Bank Group based on Core Capital (KBMI) 3, 1 bank is in KBMI 2 and 10 banks are in KBMI 1. The research used a descriptive analysis method of the Islamic banking in Indonesia. The variables tested included the ratio of NPF, CAR, ROA, Asset SIZE and GDPG growth. The analysis tool used VAR/VECM. The results showed that the business resilience of the Islamic banking industry was maintained. This condition is inseparable from government interference in the context of National Economic Recovery so that the financial performance of the Islamic banking was under threshold value. Modeling estimator using VAR at optimum lag 1 and showed that financial variable shock due to the Covid-19 Pandemic were responded to in the short term. The dynamics of variables and the recovery towards equilibrium conditions take varying amounts of time. The biggest contribution from the change in response results from the variable itself but the contribution weakens further and the dominant determinant variable to the change in response is the VARIABLE SIZE.</em></p>

Indonesia is a country with the largest Muslim population in the world with a Muslim population reaching 87% of the total population. This is an opportunity for Islamic Banks to be able to grow and develop as a bank with the concept of a profit-sharing bank. It is appropriate for all operational activities, including pricing stipulations for Islamic banking products, to be free from the element of interest (interest rate free). However, in practice, there are still pricing stipulations in Islamic banking products that benchmark interest rates. This study aims to review the pricing determination of Islamic banking products in Indonesia. The method used in this research proposal is a literature review. The literature review produced several alternative purposed for the Islamic Pricing Benchmarking method as a benchmark that can be used by Islamic banking in determining the pricing of its products.

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.

Purpose Indonesia has Muslim majority population, however the number of people who choose to be customer in sharia bank is still relatively small. The purpose of this study is to find out the influence of sharia finance literacy, profit-sharing ratio, income, and trust to the loyalty of customer of sharia bank. Design/methodology/approach The method used in this study is the explanatory research with quantitative approach. The data used in this study were based on criterion muslim and customer of sharia bank with participating respondents of 233 respondents from Bandung Raya. Findings The result of this study is that the variable of sharia finance literacy, profit-sharing ratio, and trust have significantly positive influence while variable of income do not have significant influence in the loyalty of customer to sharia bank. Practical implications The results will assist Islamic bank management in continuing to introduce Islamic banks to the public and try to get closer to them. The relevant sharia authorities should continue to introduce financial knowledge to the public, and if necessary make regulations that can accelerate these efforts.

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.