scholarly journals DETEKSI FINANCIAL DISTRESS BAGI PERUSAHAAN BANK UMUM YANG TERDAFTAR DI BEI (BURSA EFEK INDONESIA) SAAT PANDEMI COVID 19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Gustaf Naufan Febrianto
Keyword(s):  
Firm Performance ◽  
Foreign Exchange ◽  
Financial Distress ◽  
Stock Exchange ◽  
Risk Profile ◽  
Research Data ◽  
Distress Risk ◽  
Conventional Bank

The purpose of this study is to examine the effect of macro economy, risk profile to firm performance and Financial Distress in Conventional Bank foreign exchange go public listed in Indonesia stock exchange at pandemic covid 19. The sample used in this research is 44 companies with 1 years observation from 2019-2020 (Covid-19). Analysis of research data using Desriptive Qualitative. The results showed: Macro economy has a significant effect on firm performance and also significant effect on Financial Distress. Risk Profile significant effect on firm performance And have significant effect onFinancial Distress, firm performance significantly influence the Financial Distress

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 PERAN CORPORATE GOVERNANCE DALAM MENURUNKAN KEBANGKRUTAN PADA PERUSAHAAN DI INDONESIA

2017 ◽  
Vol 21 (3) ◽  
pp. 391
Author(s):  
Tasya Hilaliya ◽  
Farah Margaretha
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Financial Distress ◽  
Manufacturing Industry ◽  
Negative Impact ◽  
Stock Exchange ◽  
Z Score ◽  
Panel Data Regression ◽  
Data Regression ◽  
Governance Practices

This research examines the influence of Corporate Governance on Firm Performance measured by Tobin's Q and Financial Distress measured by Z-score. The samples used were 72 companies engaged in the manufacturing industry are listed on the Indonesia Stock Exchange (BEI) for five years from 2011 to 2015. The analytical methods used in this research is panel data regression, discriminant analysis, and logistic regression. The results showed that (I) there is no significant impact between corporate governance practices on firm performance. (2) there is negative impact between corporate governance practices on financial distress. Then, the companies need to increase corporate governance in order to avoid possibility of financial distress and for the investor before making an investment should consider the factors that affect the firm performance and financial distress

The financial leverage–financial performance relationship in the emerging market of Turkey: the role of financial distress risk and currency crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Kalash
Keyword(s):  
Firm Performance ◽  
Financial Performance ◽  
Financial Distress ◽  
Emerging Market ◽  
Currency Crisis ◽  
Ordinary Least Squares ◽  
Financial Leverage ◽  
Content Type ◽  
Distress Risk

PurposeThe purpose of this article is to examine how financial distress risk and currency crisis affect the relationship between financial leverage and financial performance.Design/methodology/approachThis study uses data of 200 firms listed on Istanbul Stock Exchange during the period from 2009 to 2019, resulting in 1950 firm-year observations. Pooled ordinary least squares, random effects, firm fixed effects and two-step system GMM models are used to investigate the hypotheses of this study.FindingsThe results reveal that financial leverage has negative and significant effect on financial performance, and that this effect is stronger for firms with higher financial distress risk. Furthermore, the findings provide moderate evidence that currency crisis exacerbates the negative association between leverage and performance.Practical implicationsThe results of this study have important implications for firms in emerging markets. Managers can enhance firm performance by reducing the level of financial leverage, especially in firms with higher financial distress risk. These firms incur higher debt costs, and then they can benefit more from the decreases in debt ratio in their capital structure. Moreover, the decreases in debt level have more importance in currency crisis times, when the access to external finance becomes more expensive and more difficult.Originality/valueTo the author's knowledge, this research is the first to examine the effect of currency crisis on the financial leverage–financial performance relationship and is one of few that investigate the role of financial distress risk in determining the linkage between leverage and firm performance.

scholarly journals Exploring the Relationship between Financial Distress, Financial Flexibility, and Firm Performance: Empirical Evidence from Pakistan Stock Exchange

2018 ◽  
pp. 1-16
Author(s):  
Yasin Mahmood ◽  
Muhammad Faisal Rizwan ◽  
Abdul Rashid
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Financial Distress ◽  
Stock Exchange ◽  
Z Score ◽  
Firm Level ◽  
Financial Flexibility ◽  
Corporate Managers ◽  
And Performance ◽  
The Impact

Purpose– This main purpose of this paper is to empirically investigate the impact of corporate financial flexibility (FF) on financial distress and performance of firms listed on the Pakistan Stock Exchange (PSX). It enables to know how financial flexibility affects the firm financial strength, financial distress, and corporate performance. Design/methodology/approach –This study focuses on a firm level data of 192 non-financial firms covering the period 1992 - 2014. The fixed effect model logistic regression is applied by using unbalanced panel data to examine the impact of financial flexibility on financial distress, and performance of sample firms. Findings – The results reveal that financially flexible firms are less likely to face financial distress. As firms have more financial flexibility, the probability of financial distress decreases as well. It is also found that financially flexible firms are more likely to perform well than counterpart firms. By using the Altman z score as a measure of financial distress it is revealed that as the Altman z score increases, the chances of financial distress reduce as well. These findings also suggest the existence of pecking order in Pakistani firms; because firms rely on internal sources first, second go to external sources of financing. Practical implications – the findings of this study enable the corporate managers to avoid financial distress by obtaining and maintaining financial flexibility by keeping the leverage level lower than industry level. By attaining and maintaining financial flexibility, corporate managers can also raise the performance of the firm as well. It can also enable to make appropriate capital structure decision to finance managers of corporate firms. The creditors may provide the loan to sound firms who have no or least chances of financial distress. The lenders may also get benefit from it by requiring the interest rate as per risk of financial distress of the firm. Investors may avoid investing in firms having very little or no financial flexibility. JEL Classification– G33, L25 Keywords: Altman z score, financial flexibility, firm performance, return on asset, panel data, financial distress, modified z score.

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 PENYAJIAN PENDAPATAN KOMPREHENSIF LAIN: INVESTIGASI PADA INDUSTRI INFRASTRUKTUR DAN UTILITAS

2018 ◽  
Vol 2 (2) ◽  
pp. 59-71
Author(s):  
Bagus Sidantha ◽  
Nurmala Ahmar ◽  
JMV Mulyadi
Keyword(s):  
Foreign Exchange ◽  
Stock Exchange ◽  
Industrial Sector ◽  
Research Data ◽  
Employee Benefits ◽  
Employment Benefits ◽  
Comprehensive Income ◽  
Other Comprehensive Income ◽  
Cross Tabulation ◽  
Data Analysis Methods

The purpose of this study was to investigate how the implementation of the presentation of other comprehensive income (OCI) after IFRS implementation in the industrial sector of infrastructure and utility that is listed in the Indonesia Stock Exchange in 2012-2015. The samples were processed as many as 48 companies. OCI component is observed on foreign exchange IAS 10, IAS 24, employee benefits, IAS 55 available for sale and cash flow hedges, IAS 16/19 revaluation of tangible and intangible, and SFAS 15 associations and venture. These research data analysis methods were using cross tabulation and analysis done by testing different test Cramer's V because the data being tested were nominal and non-parametric. Results of the study were that the foreign exchange component of OCI, employment benefits and securities available for sale were the components most often served. As for the foreign exchange component was found a difference in the presentation. Research on the future OCI can be done by digging a further impact on the condition value of OCI micro and macro enterprises.Keywords: Other Comprehensive Income, Foreign Exchange, Employee Benefits, Securities Available for Sale and Hedging, Revaluation of Tangible and Intangible, and Association

scholarly journals Pengaruh Risk Based Bank Rating terhadap Financial Distress dengan Bankometer Model Pada Busn Non Devisa

2020 ◽  
Vol 8 (3) ◽  
pp. 717
Author(s):  
Rista Pristianti ◽  
Musdholifah Musdholifah
Keyword(s):  
Board Of Directors ◽  
Foreign Exchange ◽  
Financial Distress ◽  
Research Data ◽  
Capital Adequacy ◽  
Significant Positive Effect ◽  
Analysis Techniques ◽  
Good Corporate Governance ◽  
The Board Of Directors ◽  
Positive Effect

Banks need to conduct evaluation activities to find out the current situation of the bank so that the health of the bank is not disturbed. Banking health is very important to be maintained because banks play an important role in society, especially as increasing the country's economic growth. This study aims to examine the effect of risk based bank rating on financial distress. The risk-based bank rating ratio consists of risk profiles that are proxied by NPL and LDR, good corporate governance which is proxied by the size of the board of directors and independent commissioners, earnings proxied by ROA, ROE, BOPO, and NIM, and capital proxied by CAR. The yardstick used in this research is the bankometer model. The research year is 6 years from 2013-2018. The population used in this study were all non-foreign exchange bank, amounting to 30. The sample was determined using purposive sampling so that 20 non-foreign exchange bank were found with data analysis techniques using logistic regression. Research data search using SPSS 25. The results of the study found the influence of LDR, the size of the board of directors, NIM, and CAR. LDR ratio has a significant negatif effect, board size has a significant positive effect, NIM has a significant negatif effect, and CAR has a significant negatif effect on financial distress. This because that fourth variable had important thing on liquidity, independent oversight, interest income, and capital adequacy. Whereas NPL, independent commissioners, ROA, ROE, and BOPO do not affect financial distress. This because the value of each variable already appropriate with Bank Indonesia determination and it summed up that Non-Foreign Exchange Bank already apply it well. This shows that risk based bank rating can be a parameter of bank health.

scholarly journals Corporate governance and firm performance in periods of financial distress

2017 ◽  
Vol 14 (3) ◽  
pp. 209-222 ◽  
Author(s):  
George Kyriazopoulos
Keyword(s):  
Corporate Governance ◽  
Firm Performance ◽  
Financial Distress ◽  
Sovereign Debt ◽  
Positive Impact ◽  
Stock Exchange ◽  
Debt Crisis ◽  
Outside Directors ◽  
Board Size

This study investigates the relationship between corporate governance and firm performance employing data from 203 firms listed on the Athens Stock Exchange between 2005 and 2014. This period encompass the sovereign debt crisis erupted in Greece in 2010 and still continues to hit households and businesses alike. The results from the panel regression analysis signify the role of corporate governance in determining the firm performance of the Greek listed firms. In particular, the empirical results reveal a positive impact of board size and composition on corporate performance. Though the role of board size remains unaltered during the crisis period that of outside directors diminishes as the certification provided by auditors seem to replace much of the variation in firm performance. Finally, leverage and liquidity are the two firm-specific factors that their effect was strengthened during the financially-constraint period.

scholarly journals An Analysis of Financial Distress Accuracy Models in Indonesia Coal Mining Industry: An Altman, Springate, Zmijewski, Ohlson and Grover Approaches

2021 ◽  
Vol 3 (2) ◽  
pp. 01-12
Author(s):  
M. Noor Salim ◽  
Dhermawan Ismudjoko
Keyword(s):  
Coal Mining ◽  
Predictive Models ◽  
Financial Distress ◽  
Prediction Models ◽  
Stock Exchange ◽  
Mining Industry ◽  
Sampling Technique ◽  
Research Data ◽  
Accuracy Rate ◽  
Prediction Rate

The purpose of this research is to determine companies financial distress base on Altman, Springate, Zmijewski, Ohlson and Grover Models and to assess the accuracy of those five prediction models in coal mining sector firms listed in Indonesia Stock Exchange (IDX) for the period 2015 – 2019. This research has 22 samples of 23 coal mining firms listed in IDX base on the purposive sampling technique. This study is a descriptive design using quantitative and panel data. The research data is analyzed using the Kruskal Wallis test because there are more than two prediction models to compare and the data are not normally distributed. The result indicates that the Modified Altman and Ohlson Models are the most accurate predictive models because these models have the highest accuracy rate of 90.91%, followed by Zmijewski Model, which has an accuracy rate of 86.36%, then Grover Model has 81.82% accuracy rate, and the lowest prediction rate is Springate Model with the value of 63.64%.

scholarly journals ANALISIS MAKRO EKONOMI, PROFIL RISIKO TERHADAP KINERJA PERUSAHAAN DAN NILAI PERUSAHAAN PADA BANK UMUM YANG TERDAFTAR DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Gustaf Naufan Febrianto
Keyword(s):  
Foreign Exchange ◽  
Stock Exchange ◽  
Risk Profile ◽  
Company Performance ◽  
Descriptive Research ◽  
Company Value ◽  
Public Risk ◽  
Macroeconomic Impact ◽  
Qualitative Descriptive ◽  
National Bank

The purpose of this study is to examine the Analysis of macro economy, risk profile, to firm performance and value of the firm in Coomercial Banks go public listed in Indonesia stock exchange. The sample used in this research is 44 companies with 3 years observation from 2017-2020 This study uses a qualitative descriptive research design. The population in this study is the Public Foreign Exchange Commercial Bank Companies listed on the IDX. Thus the number of samples in this study were 44 banking companies listed on the IDX. The results showed: Macroeconomic impact on company performance at the National Public Bank Foreign Exchange, Macroeconomic affects the value of the company on the National Public Bank Foreign Exchange Go Public, Risk Profile impacts on company performance at the Go Public National Bank, Risk Profile impacts on company value of the company at the National Public Bank Go Public Financial Performance affects the value of the company at the National Public Bank Foreign Exchange Go Public

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