scholarly journals PERFORMANCE BANK BNI SYARIAH DI MASA PANDEMI COVID-19

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Dwi Nur'aini Ihsan ◽  
Muhamad Nadratuzzaman Hosen
Keyword(s):  
Potential Risk ◽  
Cost Efficiency ◽  
Secondary Data ◽  
Islamic Banks ◽  
Z Score ◽  
Bank Efficiency ◽  
Bank Management ◽  
Net Profit ◽  
Financial Soundness ◽  
Score Model

The performance of Islamic banks during the Covid-19 pandemic has had an impact on the financial soundness of Islamic Banks. Islamic Banks in Indonesia should restructure the Financing (PYD) which results in the acquisition of revenue and net profit received by the bank. The aims of this study are to analyze the soundness of Bank BNI Syariah using the CAMEL, RGEC method, the level of cost efficiency and profitability. Then also measured the potential for BNIS bankruptcy with the Altman Z-Score model. The potential risk of bankruptcy in Islamic Banks is very possible if bank management during the Covid-19 pandemic are not carried out properly and professionally. Secondary data is used during the period 2015 to 2020 to analyze the performance of Islamic Banks before the pandemic and during the pandemic. The results of the CAMEL and RGEC analysis show that soundness conditions varied from "Not Very Good" to "Very Good" from 2015 to 2020. In 2020 the soundness condition of BNIS is "Fairly Good". Meanwhile, the Altman Z-Score shows that BNIS is experiencing a “Not Bankrupt” condition, the level of bank efficiency is “High” and at analysis of profitability as reflected by the ROA ratio, ROE during the pandemic has decreased.

scholarly journals ANALISIS PERBANDINGAN MODEL ALTMAN, MODEL SPRINGATE, DAN MODEL ZMIJEWSKI DALAM MEMPREDIKSI KEBANGKRUTAN BANK SYARIAH DI INDONESIA

2018 ◽  
Vol 1 (1) ◽  
pp. 13
Author(s):  
Diyah Santi Hariyani ◽  
Agung Sujianto
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Homogeneity Test ◽  
Islamic Banks ◽  
Z Score ◽  
Accuracy Rate ◽  
Normality Test ◽  
Score Model ◽  
One Way Anova

<p><strong>ABSTRACT</strong><br />The purpose of this research to provide empirical evidence that the Model Altman , Springate , and Zmijewski is the most appropriate model for predicting bankruptcy Islamic Bank in Indonesia . The population in this study are all Islamic banks listed on the Indonesia Stock Exchange . This study uses secondary data from the financial statements of Islamic banks in 2010-2014 . Testing the hypothesis in this study using normality test, homogeneity test, and one way ANOVA test ( different test ) . The results showed that Springate model is the most appropriate model to predict the Islamic banks in Indonesia with an accuracy of 38.00 % , then Model Zmijewski with 28.00 % accuracy rate and Altman with an accuracy of 0.00 % .</p><p><br /><strong>Keywords : Altman Z-Score Model, Springate S-Score Model, Zmijewski X-Score Model.</strong></p>

scholarly journals Influential Factors on Profitability of Islamic Banks: Evidence from Sudan

2020 ◽  
Vol 12 (6) ◽  
pp. 1
Author(s):  
Ahmed Nourrein Ahmed Mennawi ◽  
Ahmed Ali Ahmed
Keyword(s):  
Cost Efficiency ◽  
Secondary Data ◽  
Influential Factors ◽  
Islamic Banks ◽  
Operational Cost ◽  
Short Term ◽  
Return On Assets ◽  
Independent Variables ◽  
Net Profit

Profitability of Islamic banks has a significant effect on banks current and future decisions that do not only associate with shareholders and management, but also for various types of stakeholders. Despite that, scholars are not yet in agreement on common determinants of profitability in banking industry. This study aims to investigate the effect of bank-specific and industry characteristics along with macroeconomic variable (the inflation) on the profitability of a sample of 10 Islamic banks in Sudan. The study applied descriptive statistics, Persons&rsquo; correlation and multiple regression analysis on secondary data in order to determine the relationships and degree of significant of the independent variables to profitability. The profitability has been measured by two models; as return on assets (ROA) and net profit margin (NMP). The results reveal that bank capitalization (EQTA), operational cost efficiency (OCOI), investment in short-term securities (SECA) and inflation (INF) variables are significantly affecting the profitability of Islamic banks in Sudan. In contrary, the deposit-size of the bank (as market share) is not a significant determinant of banks&rsquo; profitability. Furthermore, the results indicate that quality of credit loan (NPL) is highly significant to NPM, while it is insignificant to ROA.

scholarly journals Efficiency and Rentability of Islamic Banks in Indonesia

INOVATOR ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 41
Author(s):  
Sugeng Haryanto ◽  
Yanuar Bachtiar ◽  
Wildani Khotami
Keyword(s):  
Secondary Data ◽  
Capital Adequacy ◽  
Islamic Banks ◽  
Bank Efficiency ◽  
Macroeconomic Factors ◽  
Analysis Technique ◽  
Capital Adequacy Ratio ◽  
Operating Margin ◽  
Financing Risk ◽  
Quantitative Descriptive

<table border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="454"><p><em>This study aims to analyze the influence of macroeconomic factors, efficiency, risk, financing to deposit ratio and CAR on the rentability of Islamic banks. This research is a quantitative descriptive. The study period was conducted in 2010-2019, with quarterly data. The data source is secondary data. Data collection techniques are done by documentation. Data is taken from www.ojk.go.id and www.bi.go.id. The type of data used is quantitative data. The research variables are rentability, efficiency, financing risk, FDR, Capital Adequacy Ratio (CAR) and macroeconomic data in the form of GDP and inflation. Rentability is measured by Nett operating margin (NOM), bank efficiency is measured using BOPO and financing risk is measured by non-performing financing (NPF). The analysis technique used is multiple linear regression. The results showed that the GDP variable did not affect rentability. Efficiency, risk, and CAR affect rentability. FDR does not affect rentability</em><em>.</em></p></td></tr></tbody></table>

scholarly journals PENERAPAN MODEL Z-SCORE UNTUK PREDIKSI KEBANGKRUTAN BANK BRI SYARIAH TAHUN 2014-2016

2018 ◽  
Vol 16 (1) ◽  
pp. 81-97
Author(s):  
Muhlis Muhlis
Keyword(s):  
Financial Statements ◽  
Debt Ratio ◽  
Z Score ◽  
Bank Management ◽  
Financial Difficulties ◽  
Score Model

Abstract: The application of the z-score model is done to find out the early condition possible to avoid the failure of bank management when experiencing financial difficulties that will trigger potential bankruptcy if the score category is below 2.99. The method used is the Altman Z-Score model by analyzing the financial statements of PT Bank BRI Syariah from 2014-2016. Based on the results of the research conducted, the z-score in 2014 was 5.13 and 6.24 in 2015, while in 2016 it was 5.24. Altman's score results indicate that the company is free from potential bankruptcy. The debt ratio has a guarantee of very good assets. Equity is ideal in fulfilling obligations Abstrak: Penerapan model z-score ini dilakukan untuk mengetahui kondisi sedini mungkin menghindari kegagalan manajemen bank bila mengalami kesulitan keuangan yang akan memicu potensi kebangkrutan bila kategori skornya dibawah 2,99. Metode yang digunakan adalah model Altman Z-Score dengan menganalisis laporan keuangan PT Bank BRI Syariah dari tahun 2014-2016. Berdasarkan hasil penelitian yang dilakukan, nilai z-score tahun 2014 yaitu 5,13 dan 6,24 pada tahun 2015, sedangkan pada tahun 2016 yaitu 5,24. Hasil score Altman ini menunjukkan bahwa perusahaan bebas dari potensi kebangkrutan. Rasio utang mempunyai jaminan aktiva sangat bagus. Ekuitasnya sangat ideal dalam memenuhi kewajiban

Financial soundness of Islamic banks: does the structure of the board of directors matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Afef Khalil ◽  
Imen Ben Slimene
Keyword(s):  
Corporate Governance ◽  
Board Of Directors ◽  
Islamic Banks ◽  
Z Score ◽  
Data Set ◽  
Content Type ◽  
Additional Hypothesis ◽  
The Board Of Directors ◽  
Financial Soundness ◽  
The Impact

Purpose The purpose of this paper is to examine the Board of Directors’ characteristics and their impact on the financial soundness of Islamic banks. Design/methodology/approach Regression analysis is applied to test the impact of the Board of Directors’ characteristics on the financial soundness of Islamic banks, using a panel data set of 67 Islamic banks covering 20 countries from 2005 to 2018. The Z-score indicator is used to evaluate the Islamic banks’ soundness. To check the robustness of the results, this paper uses other dependent variables (CAMEL) than the Z-score. Findings The main results show that the presence of an independent non-executive director negatively impacts the financial soundness of Islamic banks, while the chief executive officer duality practice has a positive effect on it. Other characteristics of the Board of Directors do not significantly impact the financial soundness of Islamic banks (foreign director, institutional director, chairman with a Shari’ah degree, interlocked chairman and the Board of Directors’ size). Practical implications This study aims to fill the gaps in the literature that discuss the Board of Directors’ role in corporate governance and its impact on the financial soundness of Islamic banks. In other words, it shows the role played by the Board of Directors and improves the knowledge of the corporate governance-financial soundness relationship. Plus, managers, investors and regulators may gain evocative insights, particularly those looking to improve their Islamic banks’ soundness by restructuring their boards’ composition. Originality/value This study sheds new light on the literature on Islamic banking by clarifying the relationship between the Board of Directors and the financial soundness of Islamic banks. Contrary to previous research, this paper uses an additional hypothesis stating that a chairman with a Shari’ah degree (Fiqh Muamalt) has a positive impact on the financial soundness of Islamic banks.

scholarly journals Financial Soundness of Cement Industry of Bangladesh: An Empirical Investigation Using Z-score

2014 ◽  
Vol 1 (1) ◽  
pp. 16-22 ◽  
Author(s):  
A. N. K. Mizan ◽  
Md. Mahabbat Hossain
Keyword(s):  
Empirical Investigation ◽  
Raw Materials ◽  
Cement Industry ◽  
Annual Reports ◽  
Business Firm ◽  
Financial Health ◽  
Z Score ◽  
Financial Soundness ◽  
Financial Decision ◽  
Score Model

For measuring the financial health of a business firm, there are lots of techniques available. But the Altman’s Z-score has been proven to be a reliable tool across contexts. Bangladesh cement industry is a unique one because, the industry is producing a higher amount of cement than the local demand having no supply of local raw materials. The main objective of the study is to assess the fundamental financial health of this industry using Z-score model. All listed cement firms are considered in this study. The required information has been collected from the annual reports of the selected companies and from other sources. The study revealed that two firms, Heidelberg cement and Confidence Cement, are financially sound whereas other three are not in a good position. The findings of the study can be useful for the managers to take financial decision, the stockholders to choose investment options and others to look after their interest in the concern cement manufacturers of the country.

scholarly journals BANKRUPTCY PREDICTION OF THE COMPANY USING ALTMAN Z–SCORE METHOD FOR THE CONVENTIONAL BANKS REGISTERED IN THE INDONESIA STOCKS EXCHANGE (BEI)

2017 ◽  
Vol 2 (02) ◽  
pp. 11
Author(s):  
Irwansyah .
Keyword(s):  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Gray Area ◽  
Analysis Technique ◽  
Score Analysis ◽  
Score Method ◽  
Score Model ◽  
Conventional Banks

This study was conducted to prove the accuracy of bankruptcy prediction of Altman Z-Score model on conventional banks listed on the Indonesia Stock Exchange. The data used in this study is secondary data obtained from the annual financial statements of conventional banks during the period of 2013-2016 mentioned on the official website of the Indonesia Stock Exchange. The data analysis technique used is bankruptcy prediction of Altman Z-Score model, using five variables representing liquidity ratios X1, profitability ratios X2 and X3, and activity ratios X4 and X5. The formula Z-score = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + X5. When Z-Score criteria is Z > 2.90 it is categorized as a healthy company. Z-Score between 1.23 to 2.90 is categorized as a company in area. While Z-Score Z < 1.23 is categorized as a potential bankrupt company. Based on the results of the research, Z-Score analysis that has been done in the period of 2013-2016 indicating that most conventional banks are predicted bankrupt. The lowest score of the Z-Score is 1.23. Only one Bank Jtrust Indonesia Tbk (BCIC bank code) is in a healthy category. Bank Mandiri (Persero) Tbk with BMRI bank code, has been increasing from the prediction of bankruptcy category to the prediction of gray area category.Keywords: Altman Z-Score, Conventional Banks Listed on BEI 2013-2016, Prediction of Bankruptcy.

scholarly journals ANALISIS PENILAIAN FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN (Z-SCORE) PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2013-2015

2017 ◽  
Vol 5 (1) ◽  
pp. 55
Author(s):  
Sri Yati ◽  
Katarina Intan Afni Patunrui
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Pharmaceutical Companies ◽  
Z Score ◽  
Financial Reports ◽  
Book Value ◽  
Total Debt ◽  
Score Model

This study aims to observe the financial distress assessment for pharmaceutical companies listed on the Indonesia Stock Exchange using the Altman Z-Score model. The sample is selected using purposive sampling method. Ten pharmaceutical companies were selected with the criteria listed in the Indonesia Stock Exchange (BEI) and regularly published financial reports in 2013 until 2015. Secondary data was derived from www.idx.co.id site.  The results indicate that the Altman Z-Score model can be implemented in detecting the possibility of financial distress in the pharmaceutical company. Working capital to total assets and book value equity to book value of total debt are two determinant variables which is determining the decrease in Z-score value in this research.  One from ten companies have the lowest value of the Z-Score and experiencing financial distress. For two years, the company is in distress zones but in the third year, the company is managed to increase the value of the company and included in the gray zones. This company must continue to strive in order to stabilize the company's financial and asset utilization to obtain maximum profit, and until it was declared as a healthy company.

scholarly journals Analysis of Accuracy Level of Altman Z-Score Model and Springate Model in Measuring the Potential of Financial Distress in Plantations Industries

2019 ◽  
pp. 16-25
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Secondary Data ◽  
Financial Data ◽  
Z Score ◽  
Financial Difficulties ◽  
Accuracy Level ◽  
Score Model

This study aimed to analyze the level of bankruptcy using Altman Z-Score model of modifications and models Springate, the Plantations Company period 2014-2017. The data used in this research is secondary data, financial data Plantations Company taken from the site www.idx.co.id. Based on the results of this study show that the model of the Altman Z-Score modification Plantations Industries was having financial difficulties which would be potentially bankrupt, it can be seen from the Z-Score of less than 1.1 in the period 2014-2017 and no different from using a model that generates value Springate S-Score <0.862 means that the financial performance Plantations company are experiencing financial difficulties during the 2014-2017 period and potentially going bankrupt.

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