scholarly journals Financial Distress Prediction Using RGEC Model on Foreign Exchange Banks and Non-Foreign Exchange Banks

2019 ◽  
Vol 2 (1) ◽  
pp. 48-55
Author(s):  
Laely Aghe Africa
Keyword(s):  
Logistic Regression ◽  
Foreign Exchange ◽  
Financial Distress ◽  
Risk Profile ◽  
Capital Adequacy ◽  
Financial Distress Prediction ◽  
Good Corporate Governance ◽  
Capital Adequacy Ratio ◽  
Distress Prediction ◽  
A Company

The bankruptcy of a company can be marked called Financial Distress, and the company is expected to anticipate the situation. This research aimed to analyze whether the RGEC model can be used to predict Financial Distress on Foreign Exchange Banks and Non-Foreign Exchange Banks. The RGEC model uses several ratios including Risk Profile represented by NPL (Non-Performing Loan) LDR (Loan to Deposit Ratio), GCG is represented by the Composite Value of GCG (Good Corporate Governance), Earnings is represented by ROA (Return On Asset), and Capital is represented by CAR (Capital Adequacy Ratio). It is a quantitative study, with a sample of 185 data of Foreign Exchange Bank and Non-Foreign Exchange ranging from 2013 to 2017, and fulfills this criterion for research from IDX. Logistic regression was used in analyzing data and using SPSS version of IBM 23. The results of the study indicate that NPL, GCG, ROA, and CAR are best used to predict financial distress in Foreign Exchange Bank and Non-Foreign Exchange Bank. The results can be applied to banking companies in determining what policies need to be taken when the company experiences Financial Distress.

scholarly journals Pengaruh RGEC (Risk Profile, Good Corporate Governance Earning, Capital) terhadap Financel Distress

Owner ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 107-118
Author(s):  
Fikri Hakim Ermar ◽  
Suhono Suhono
Keyword(s):  
Corporate Governance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Risk Profile ◽  
Capital Adequacy ◽  
Return On Assets ◽  
Good Corporate Governance ◽  
Capital Adequacy Ratio ◽  
Sample Data

This study aims to determine the effect of RGEC (Risk Profile, Good Corporate Governance, Earnings and Capital) on Financial Distress in banks listed on The Indonesia Stock Exchange (IDX) for the period of 2016-2019. The sample data used is the result of the purposive sampling technique and the samples declared worthy to be utilized are 21 banks. During the study conducted, the method was adopted which is a method of logistic regression analysis using SPSS 25 program aid. The results of the research show that the variables that are known can affect the Financial Distress is Return On Asset affect negatively and significantly. Meanwhile, variables that do not affect Financial Distress are Non-Performing Loan (NPL), Loan to Deposit Ratio, Good Corporate Governance, and Capital Adequacy Ratio. Simultaneously Non Performing Loans, Loan to Deposit Ratio, Good Corporate Governance, Return on Assets and Capital Adequacy Ratio have a significant effect on Financial Distress.

scholarly journals ANALISIS PERBANDINGAN KINERJA KEUANGAN BANK PEMERINTAH (BUMN) DAN BANK UMUM SWASTA NASIONAL (BUSN) DENGAN MENGGUNAKAN METODE PENDEKATAN RGEC (RISK PROFIL E,GOOD CORPORATE GOVERNANCE, EARNING AND CAPITAL)YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2014-2018

2021 ◽  
Vol 9 (1) ◽  
pp. 127
Author(s):  
Debby Suciani ◽  
Yulita Triadiarti
Keyword(s):  
Corporate Governance ◽  
Risk Profile ◽  
T Test ◽  
Capital Adequacy ◽  
Return On Equity ◽  
Purposive Sampling ◽  
Whitney Test ◽  
Good Corporate Governance ◽  
Mann Whitney Test ◽  
Capital Adequacy Ratio

ABSTRAK Penelitian ini bertujuan untuk menguji apakah terdapat perbedaan kinerja keuangan yang signifikan antara bank pemerintah (BUMN) dengan Bank Umum Swasta Nasional (BUSN) di Bursa Efek Indonesia tahun 2014-2018. . Kinerja keuangan diukur dengan menggunakan metode pendekatan RGEC yaitu Risk Profile, Good Corporate Governance, Earning, and Capital. Aspek Risk Profile diukur menggunakan rasio Non Performing Loan (NPL),aspek Good Corporate Governance diukur menggunakan nilai komposit GCG, aspek Earning diukur menggunakan rasio Return on Equity (ROE), dan aspek Capital diukur menggunakan Capital Adequacy Ratio (CAR). Populasi dalam penelitian ini adalah seluruh bank yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2014 - 2018. Dari 42 perbankan yang terdaftar, dipilih 4 bank pemerintah (BUMN) dan 4 Bank Umum Swasta Nasional dengan menggunakan purposive sampling. Data yang digunakan dalam penelitian ini adalah data sekunder, yang diperoleh dari situs www.idx.co.id, www.ojk.go.id, dan www.bi.go.id. Teknik analisis data yang digunakan adalah analisis deskriptif kuantitatif, uji normalitas, Independent Sample T-test dan Mann Whitney Test. Hasil penelitian menunjukkan bahwa terdapat perbedaan kinerja keuangan yang signifikan antara bank pemerintah (BUMN) dan Bank Umum Swasta Nasional (BUSN) dilihat dari aspek Earning yang diukur dengan rasio Return on Equity (ROE). Dan tidak terdapat perbedaan kinerja keuangan yang signifikan antara bank pemerintah (BUMN) dan Bank Umum Swasta Nasional (BUSN) jika dilihat dari aspek Risk Profile yang diukur dengan rasio Non Performing Loan (NPL), aspek Good Corporate Governance yang diukur dari nilai komposit GCG, dan aspek Capital yang diukur dengan Capital Adequacy Ratio (CAR). Kata Kunci : Perbandingan, Kinerja Keuangan, Non Performing Loan, Nilai Komposit GCG, Return on Equity, dan Capital Adequacy Ratio. 

scholarly journals Analisis Tingkat Kesehatan Bank Dengan Menggunakan Metode Risk-Based Bank Rating (RBBR) (Studi Pada Bank yang Termasuk Saham LQ45 Sub Sektor Perbankan Tahun 2010–2016)

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Bobby Wijaya
Keyword(s):  
Corporate Governance ◽  
Stock Exchange ◽  
Risk Profile ◽  
Capital Adequacy ◽  
Self Assessment ◽  
Return On Assets ◽  
Good Corporate Governance ◽  
Health Level ◽  
Net Interest Margin ◽  
Capital Adequacy Ratio

This paper seeks to find out the health level of banks in Indonesia Stock Exchange LQ45 Index. It used descriptive methods with qualitative approach that is Risk Based Bank Rating (RBBR) model. RBBR model consists of 4 factors among others: risk profile, good corporate governance (GCG), earnings and capital factor.The analytical tool used in this study is the assessment of the level of health of banks in Indonesia Stock Exchange LQ45 Index against the risk factor using the ratio of net performing loans (NPLs) and Loan to Deposit Ratio (LDR), a factor of corporate governance by using the self-assessment report of good corporate governance, the earnings factor using the ratio of return on assets (ROA) and net interest margin (NIM) and the factor of capital using the ratio of capital adequacy ratio (CAR). The results showed that there are several banks which have "Less Healthy", "Healthy Enough", "Pretty Good". Bank Mandiri, BRI and BNI received the predicate of "Pretty Good" in risk profile factor for liquidity risk, whereas Bank BTN received the predicate of "Healthy Enough". Also, Bank BTN received the predicate of "Healthy Enough" and "Pretty Good" in earnings factor specifically ROA and GCG factor. Keywords:Indonesia Stock Exchange LQ45 Index, Health Level of Banks, Risk Based Bank Rating (RBBR) Model.

scholarly journals THE INFLUENCE OF FINANCIAL RATIOS AND GOOD CORPORATE GOVERNANCE TOWARDS FINANCIAL DISTRESS ON ISLAMIC BANKS IN INDONESIA

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Nandita Salatifa Diwanti ◽  
Purwanto .
Keyword(s):  
Corporate Governance ◽  
Financial Distress ◽  
Quantitative Research ◽  
Negative Influence ◽  
Capital Adequacy ◽  
Islamic Banks ◽  
Financial Service Authority ◽  
Return On Assets ◽  
Good Corporate Governance ◽  
Capital Adequacy Ratio

<p>This research aims to empirically prove the influence of debt to total assets ratio, capital adequacy ratio, total assets turnover, return on assets, and good corporate governance towards financial distress by Altman Z-Score. This research uses the population of Islamic banks published in the Financial Service Authority during the period 2013-2018, where the data is collected from official bank websites. Adopting a quantitative research and has 72 observations from 12 banks in six years. The result shows that capital adequacy ratio and return on assets have significant positive influence towards financial distress. While debt to total assets ratio has the significant negative influence to financial distress. However, total assets turnover and good corporate governance have a negative insignificant influence to Financial Distress. Simultaneously, all independent variables have a significant influence on financial distress, which is indicated by a value of 59.9%.<strong></strong></p>

scholarly journals Pengaruh Tingkat Kesehatan Bank Melalui Metode RGEC Terhadap Nilai Perusahaan (Studi Kasus Pada Perusahaan Perbankan Yang Terdaftar di Bursa Efek Indonesia Periode 2016-2020)

2021 ◽  
Vol 16 (2) ◽  
pp. 13
Author(s):  
Wina Aprilia ◽  
Nesti Hapsari
Keyword(s):  
Corporate Governance ◽  
Risk Profile ◽  
Capital Adequacy ◽  
Book Value ◽  
Purposive Sampling ◽  
Good Corporate Governance ◽  
Capital Adequacy Ratio

<p>Penelitian ini bertujuan untuk mengetahui tingkat kesehatan bank melalui metode RGEC terhadap nilai perusahaan perbankan yang listed di BEI tahun 2016-2020. Nilai Perusahaan diukur oleh price to book value, sedangkan untuk tingkat kesehatan bank diukur oleh Risk Profile (non performing loan), Good Corporate Governance (komposisi komisaris independen), Earnings (return on aset) dan Capital (capital adequacy ratio). Penelitian ini mempergunakan metode deskriptif dan verifikatif dengan pendekatan kuantitatif. Pengambilan sampel yang dipergunakan ialah metode purposive sampling dengan sampel yaitu 12 perusahaan dari 43 populasi perusahaan perbankan yang listed di BEI tahun 2016-2020. Dengan hasil yaitu secara parsial Non Performing Loan (NPL) tidak berpengaruh kepada nilai perusahaan, Good Corporate Governance (komposisi komisaris independen) tidak berpengaruh kepada nilai perusahaan, sedangkan Return on Asset (ROA) berpengaruh kepada nilai perusahaan, begitu pula dengan Capital Adequacy Ratio (CAR) berpengaruh kepada nilai perusahaan. Sedangkan secara simultan variable NPL, GCG, ROA dan CAR berdampak kepada nilai perusahaan.</p><p>Kata kunci : Non Performing Loan (NPL); Good Corporate Governance (GCG); Return on Asset (ROA); Capital Adequacy Ratio (CAR); Nilai Perusahaan</p>

scholarly journals ANALISIS PENGARUH KINERJA KEUANGAN DAN GOOD CORPORATE GOVERNANCE TERHADAP FINANCIAL DISTRESS (STUDI KASUS PADA PERUSAHAAN PERBANKAN DI BEI TAHUN (2016-2018)

2021 ◽  
Vol 1 (4) ◽  
pp. 55-66
Author(s):  
Anggita Julia Mahmud ◽  
Lilik Handajani ◽  
Iman Waskito
Keyword(s):  
Corporate Governance ◽  
Financial Distress ◽  
Capital Adequacy ◽  
Z Score ◽  
Good Corporate Governance ◽  
Capital Adequacy Ratio

Tujuan dalam penelitian ini adalah untuk menganalisa pengaruh kinerja keuangan dan good corporate governance terhadap financial distress pada perusahaan perbankan yang terdaftar di BEI pada tahun 2016-2018.Populasi dalam penelitian ini adalah perusahaan perbankan konvensional yang terdaftar di Bursa Efek Indonesia (BEI) periode 2016-2018. Sampel yang diambil dalam penelitian ini adalah 41 perusahaan perbankan konvensional. Analisis data dalam penelitian ini menggunakan metode analisis regresi berganda.Hasil penelitian ini membuktikan bahwa non perfoming loan dan good corporate governance berpengaruh negatif signifikan terhadap financial distress sedangkan loan to deposit ratio, return on asset, dan capital adequacy ratio berpengaruh positif signifikan terhadap financial distress yang diproksikan dengan altman z-score.

scholarly journals Comparison of the models of financial distress prediction

2013 ◽  
Vol 61 (7) ◽  
pp. 2587-2592 ◽  
Author(s):  
Jiří Omelka ◽  
Michaela Beranová ◽  
Jakub Tabas
Keyword(s):  
Financial Distress ◽  
Future Research ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
The Sixties ◽  
Business Entities ◽  
A Company ◽  
Critical Aspects

Prediction of the financial distress is generally supposed as approximation if a business entity is closed on bankruptcy or at least on serious financial problems. Financial distress is defined as such a situation when a company is not able to satisfy its liabilities in any forms, or when its liabilities are higher than its assets. Classification of financial situation of business entities represents a multidisciplinary scientific issue that uses not only the economic theoretical bases but interacts to the statistical, respectively to econometric approaches as well.The first models of financial distress prediction have originated in the sixties of the 20th century. One of the most known is the Altman’s model followed by a range of others which are constructed on more or less conformable bases. In many existing models it is possible to find common elements which could be marked as elementary indicators of potential financial distress of a company.The objective of this article is, based on the comparison of existing models of prediction of financial distress, to define the set of basic indicators of company’s financial distress at conjoined identification of their critical aspects. The sample defined this way will be a background for future research focused on determination of one-dimensional model of financial distress prediction which would subsequently become a basis for construction of multi-dimensional prediction model.

scholarly journals ANALISIS RISK PROFILE, GOOD CORPORATE GOVERNANCE, EARNING, CAPITAL GUNA MENILAI TINGKAT KESEHATAN BANK

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Sri Luayyi
Keyword(s):  
Corporate Governance ◽  
Risk Profile ◽  
Capital Adequacy ◽  
Return On Assets ◽  
Good Corporate Governance ◽  
Capital Adequacy Ratio

Analisis risk profile, good corporate governance, earning, capital guna menilai tingkat kesehatan bank yang dilakukan pada PT BPR Jwalita Trenggalek bertujuan untuk mengetahui tingkat kesehatan bank tahun 2016 dan 2017 ditinjau dari aspek Risk Profile, Good Corporate Governance (GCG), Earnings, dan Capital. Data yang digunakan dalam penelitian ini adalah data primer. Data primer meliputi gambaran umum perusahaan, struktur organisasi, data penilaian tata kelola, serta laporan keuangan. Teknik analisa yang digunakan dalam penelitian ini adalah dengan metode analisis rasio keuangan dengan cara menghitung Non Perfoming Loan, Loan to Dept Ratio, Return On Assets, Capital Adequacy Ratio, sertamengolah data peniliaian tata kelola (GCG).Dari hasil penelitian menunjukkan bahwa selama tahun 2016 dan 2017: (1) Aspek Risk profile perusahaan berada dalam kondisi sehat dengan nilai NPL berturut-turut sebesar 4,42 persen dan 3,68 persen, LDR sebesar 80,65 persen, dan 81,80 persen. (2) Aspek GCG berada dalam kondisi sehat dengan nilai pada tahun 2016 sebesar 1,89 dan pada tahun 2017sebesar 1,85. (3) Aspek Earnings berturutut-turut berada dalam kondisi sangat sehat dengan nilai ROA sebesar 5,04 persen, dan 4,43 persen. (4) Aspek Capital berturut-turut berada dalam kondisi sangat sehat dengan nilai CAR sebesar 33,28 persen dan 56.17 persen. (5) Aspek RGEC secara keseluruhan berada dalam Peringkat Komposit 1 yaitu sangat sehat dengan nilai sebesar 88 persen.

PENGARUH RASIO KEUANGAN DALAM MEMPREDIKSI POTENSI KEBANGKRUTAN PADA PERUSAHAAN CUSTOMER GOODS YANG TERDAFTAR DI BURSA EFEK INDONESIA

2015 ◽  
pp. 70-82
Author(s):  
Lamria Sagala
Keyword(s):  
Capital Market ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Return On Assets ◽  
Current Ratio ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
A Company

This study aims to identify and analyze the influence of Current Ratio, Debt To Assets Ratio, Return on Assets, and Earning Per Share partially or simultaneously to the prediction of financial distress on customer goods companies listed in Indonesia Stock Exchange.The population in this study is a company customer goods listed in Indonesia Stock Exchange in 2010-2012. Of the 36 listed companies, 32 companies selected samples using purposive sampling method. The data used in this research is secondary data, to gather the information needed from www.idx.co.id and Indonesian Capital Market Directory (ICMD). This study analyzed using logistic regression analysis. The conclusion that can be drawn from this study is that the Current Ratio, Debt To Assets Ratio, Return on Assets, and earning per share has an influence on the prediction of financial distress. While only partially Debt To Assets Ratio which has a significant influence on the prediction of financial distress while the three other independentvariables have no effect on financial distress prediction.

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