scholarly journals Relationship Between Banking Performance and Financial Distress: A Study on Banks of Bangladesh

2021 ◽  
Vol 7 (1) ◽  
pp. 15
Author(s):  
Ajaan Rahman Khan ◽  
Chinmoy Das Gupta ◽  
Md. Ali Ashraf
Keyword(s):  
Linear Regression ◽  
Financial Distress ◽  
Banking Industry ◽  
Stock Exchange ◽  
Z Score ◽  
Low Level ◽  
Financial Strength ◽  
High Level

Banking is said to be one of the most successful industries in the economy of Bangladesh. The aim of this study is to check the existence of a relationship between the financial strength (or distress), measured through Altman Z-score, and banking performance, measured using Return of Equity (ROE), of the banks of Bangladesh listed in the Dhaka Stock Exchange (DSE). The paper thoroughly analyzes and describes the data associated with these two variables, and a linear regression has been conducted between these two variables to ascertain the level and direction of their relationship. The trends of Z-score over the five years from 2015 to 2019 (inclusive) have been tested. The analysis discloses that the z-score is a statistically significant predictor of the ROE in the banking industry. Although, the industry shows a low level of Z-score indicating a high level of financial distress among the banks studied, this study implies that an increase in Z-score will result in an increase of ROE.

Financial Statement Ratio Analysis to Predict Bankruptcy nn Company Registered in BEI - Jakarta (Altman Z-Score Method and Zmijewski)

2020 ◽  
Vol 3 (3) ◽  
pp. 122
Author(s):  
Andi Silvan
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Good Condition ◽  
Financial Statement ◽  
Depth Information ◽  
Z Score ◽  
Industrial Manufacturing ◽  
Financial Difficulties ◽  
A Value ◽  
Score Method

AbstractThis study takes the topic of predicting corporate bankruptcies. This research dqlam use traditional methods Altman Z-Score and Zmijewski. The purpose of this study was to obtain in-depth information about predicting bankruptcy of companies that are not necessarily directly to bankruptcy, but there is financial distress.Based on the results of research conducted on the four (4) non industrial manufacturing company listed on the Indonesia Stock Exchange (BEI). Obtaining the value z-score represents the average company are in good condition, which means no financial distress. Acquisition value of x-score has a value of less than 0 (zero) which means that the company is in good condition and is predicted not experiencing financial difficulties. This study led to the conclusion that the Altman Z-Score and Zmijewski method can be used to predict corporate bankruptcy. Keywords: Financial Ratios, Bankruptcy, Company.

PENGARUH PROFITABILITAS, LEVERAGE DAN UKURAN PERUSAHAAN TERHADAP LAMA WAKTU LAPORAN AUDIT

Equity ◽  
2016 ◽  
Vol 19 (1) ◽  
pp. 68
Author(s):  
Syifa Tamara Putri ◽  
Samin Samin
Keyword(s):  
Linear Regression ◽  
Real Estate ◽  
Multiple Linear Regression ◽  
Firm Size ◽  
Sampling Method ◽  
Stock Exchange ◽  
Z Score ◽  
Audit Report ◽  
Significance Level ◽  
Outlier Test

This study aims to test and provide empirical the effect of profitability, leverage and firm size of the audit report lag. The population in this study is a sub company property and real estate sectors listed on the Indonesia Stock Exchange 2012-2014. Sample of 34 companies was selected by purposive sampling method. The data used in this study as much as 102 samples. This study uses several stage of calculation, using outlier test that is by converting the data into a standardized score or so-called z-score. After going through the process of outlier samples were chosen in this study to 93 samples. Analysis of the data using multiple linear regression with a significance level of 5% and determine the hypothesis used t test and f test. The results test showing that profitability, leverage and firm size are simultaneous positive and significant effect on audit report lag. The results test this study indicate that profitability has significance on audit report lag are partial. Meanwhile leverage and firm size has no significance on audit report lag

scholarly journals Analysis of bankruptcy issues at manufacturing companies, sub-sectors of cosmetics and houseappliances registered in Indonesia Stock Exchange (IDX) year 2015-2017 using Altman Z-score

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Marketing Performance ◽  
Grey Area ◽  
Manufacturing Company ◽  
Score Model

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.

scholarly journals ANALISIS FINANCIAL DISTRESS PADA PT TUNAS BARU LAMPUNG TBK DI BURSA EFEK INDONESIA

2017 ◽  
Vol 13 (2) ◽  
pp. 129-141
Author(s):  
Umi Ambarwati ◽  
Sudarwati Sudarwati ◽  
Rochmi Widayanti
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Financial Ratios ◽  
Z Score ◽  
Effective Strategies ◽  
Operational Costs ◽  
Score Method

This article aims to analyze the health of the company in PT Tunas Baru Lampung TBK in Indonesia Stock Exchange. The data comes from PT Tunas Baru Lampung TBK in 2013-2015. The methods used are Altman Z-Score, Springate, Zmijewski and Fulmer methods. The results of the study show that there are differences in predicted bankruptcy results between the Altman Z-score method, Springate, Zmijewski and Fulmer. This is due to differences in the use of financial ratios and criteria bankruptcy between Altman Z-score, Springate, Zmijewski and Fulmer. For that company is expected to increase sales, perform effective strategies, reduce operational costs to be more efesian so that companies can meet the company's health criteria.   Artikel ini bertujuan untuk menganalisis kesehatan perusahaan pada PT Tunas Baru Lampung TBK di Bursa Efek Indonesia. Data berasal dari PT Tunas Baru Lampung TBK pada tahun 2013-2015. Metode yang digunakan adalah metode Altman Z-Score, Springate, Zmijewski dan Fulmer. Hasil penelitian menunjukkan adanya perbedaan hasil prediksi kebangkrutan antara metode Altman Z-score, Springate, Zmijewski dan Fulmer. Hal ini karena adanya perbedaan penggunaan rasio keuangan dan kriteria kebangkrutan antara Altman Z-score, Springate, Zmijewski dan Fulmer. Untuk itu perusahaan diharapkan meningkatkan penjualan, melakukan strategi yang efektif, menekan biaya operasional agar lebih efesian sehingga perusahaan dapat memenuhi kriteria kesehatan perusahaan.

scholarly journals Financial distress prediction of listed companies – empirical evidence on the Vietnamese stock market

2020 ◽  
Vol 17 (2) ◽  
pp. 377-388
Author(s):  
Tran Quoc Thinh ◽  
Dang Anh Tuan ◽  
Nguyen Thanh Huy ◽  
Tran Ngoc Anh Thu
Keyword(s):  
Stock Market ◽  
Financial Distress ◽  
Financial Statements ◽  
Listed Companies ◽  
Research Model ◽  
Z Score ◽  
Economic Decisions ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
High Level

Financial distress is a matter of concern in the recent period as Vietnam gradually enters global markets. This paper aims to examine the factors of Altman Z-score to detect the financial distress of Vietnamese listed companies. The authors use a sample of 30 delisted companies due to financial problems and 30 listed companies on the Vietnamese stock market from 2015 to 2018. They employ Independence Samples T-test to test the research model. It is found that there are significant differences in the factors of Altman Z-score between the group of listed companies and the group of delisted companies. Further analyses using subsamples of delisted companies show that the factors of Altman Z-score are also statistically different between companies with a low level of financial distress and those with a high level of financial distress. Based on the results, there are some suggestions to assist practitioners and the State Securities Commission in detecting, preventing, and strictly controlling financially distressed businesses. These results also enable users of financial statements to make more rational economic decisions accordingly.

scholarly journals FINANCIAL CONDITION MODERATED THE EFFECTIVENESS OF AUDIT COMMITTEETOREDUCE EARNINGSMANAGEMENT

2015 ◽  
Vol 12 (2) ◽  
Author(s):  
Michella Maria Virgine Prayogo ◽  
Yie Ke Feliana ◽  
Aurelia Carina Christanti Sutanto
Keyword(s):  
Earnings Management ◽  
Financial Distress ◽  
Audit Committee ◽  
Stock Exchange ◽  
Score Test ◽  
Z Score ◽  
Financial Condition ◽  
Activity Frequency ◽  
Distressed Firms ◽  
The Impact

Some cases of financial fraud invite inquiries about the effectiveness of corporategovernance mechanism in financial distress companies. This study empiricallyexamines whether the financial distress moderate the impact of corporate governancemechanism to earnings management. The sample of this study is manufacturingcompanies listed at Indonesia Stock Exchange for period 2010 -2012. Discretionaryaccruals are used as a proxy for earnings management, while financially distressed andnon-distressed firms are identified based on Altman Z-score test. Corporate governancemechanism is measured by four characteristics of the audit committee, i.e. size (totalnumber of audit committee members), independence (audit committee composition),activity(frequency of audit committee meeting), and expertise (the number of auditcommittee have finance or accounting background).This study finds that (1) financialdistress does not moderate the impact of total members of audit committee to earningsmanagement; (2) financial distress does not moderate the impact of frequency of auditcommittee meeting to earnings management; (3) financial distress does not moderatethe impact of audit committee composition to earnings management; (4)financialdistress moderates the impact of audit committee finance/accounting knowledge toearnings management. These results suggestthat the effectiveness corporate governanceis low, and finance/accounting literacy of audit committee should be alert.Beberapa kasus manipulasi keuangan pada perusahaan yang mengalami kesulitankeuangan mengundang pertanyaan terkait efektifitas mekanisme tata kelola perusahaan.Penelitian ini secara empiris menguji apakah kondisi kesulitan keuangan dapatmemoderasi pengaruh mekanisme tata kelola perusahaan terhadap manajemen laba.Sampel dari penelitian ini adalah perusahaan sektor manufaktur yang terdaftar di BursaEfek Indonesia periode 2010-2012.Discretionary accruals digunakan sebagai proksiuntuk manajemen laba, sedangkan kondisi kesulitan keuangan diidentifikasimenggunakan uji Altman Z-score. Mekanisme tata kelola perusahaan diukur dengan 4karakteristik komite audit, yaitu ukuran (jumlah anggota komite audit), independensi(komposisi komite audit), aktivitas (frekuensi pertemuan komite audit), dan keahlian(jumlah anggota komite audit yang memiliki latar belakang keuangan atau akuntansi).Penelitian ini menemukan bahwa (1) kondisi kesulitan keuangan tidak memoderasipengaruh jumlah anggota komite audit terhadap manajemen laba; (2) kondisi kesulitankeuangan tidak memoderasi pengaruh frekuensi pertemuan komite audit terhadapmanajemen laba; (3) kondisi kesulitan keuangan tidak memoderasi pengaruh komposisikomite audit terhadap manajemen laba; (4) kondisi kesulitan keuangan memoderasi pengaruh jumlah anggota komite audit yang memiliki latar belakang keuangan atauakuntansi terhadap manajemen laba. Hasil ini menunjukkan bahwa efektifitas tatakelola perusahaan masih rendah dan anggota komite audit yang memiliki latar belakangkeuangan atau akuntansi harus mewaspadainya.

scholarly journals Financial Distress Pada Perusahaan Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Vol 2 (2) ◽  
pp. 237-246
Author(s):  
Martinus Robert Hutauruk ◽  
Mansyur Mansyur ◽  
Muhammad Rinaldi ◽  
Yisar Renza Situru
Keyword(s):  
Financial Distress ◽  
Financial Analysis ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Stock Index ◽  
Risk Level ◽  
Food And Beverage ◽  
Community Information ◽  
High Level ◽  
Prediction Approach

Companies engaged in the food and beverage business have a very high chance of success in running their business, given the increasingly high level of food and beverage consumption for the community. Information based on financial ratios needs to be improved in other forms of financial analysis to ascertain the future risk level. The purpose of this study is to analyze financial distress for food and beverage sub-sector companies listed on conventional stocks and Islamic stocks on the Indonesia Stock Exchange in the period 2015-2020. Financial distress analysis uses the Altman Z-Score bankruptcy prediction approach. The results of the study indicate that companies that experience accounting losses do not necessarily experience financial distress. Companies whose shares are listed on the Sharia stock index tend to experience healthier financial conditions and do not experience financial distress. Sharia shares of food and beverage sub-sector companies on the Indonesia Stock Exchange have good resistance to financial distress. This is supported by the high and stable value of Inti Agri Resources' shares compared to the shares of other companies.

scholarly journals Analisis Perbandingan Financial Distress Pada Perusahaan Sub Sektor Rokok Periode 2015-2019

2021 ◽  
Vol 3 (3) ◽  
pp. 157-163
Author(s):  
Anang Makruf ◽  
Deni Ramdani
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Market Value ◽  
Sampling Technique ◽  
Z Score ◽  
Book Value ◽  
Purposive Sampling ◽  
Quantitative Models ◽  
A Company ◽  
Analyze Data

Abstract – The aim of the study was to analyze financial distress in cigarette companies list in Indonesia Stock Exchange in 2015-2019 using 3 methods, Altman Z-Score, Zmijewski, and Springate. Purposive sampling is used in this study to determine the sampling technique. The sample used in this study released 4 cigarette companies. Descriptive asalysis with quantitative models was used to analyze data in this research. Altman Z-Score, Zmijewski, and Springate in 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, and PT. Wismilak Inti Makmur Tbk is related to safe, but it is needed a company that is estimated to be grey in the Altman Z-Score calculation in 2018, PT. Wismilak Inti Makmur Tbk. The Z-score is at the limit because the companie has a ratio with a lower value in market value of equity  to book value of liabilities   Abstrak – Penelitian ini memiliki bertujuan untuk menganalisis perbandingan kesulitan keuangan dalam perusahaan sun sektor rokok di Indonesia Stock Exchange periode 2015-2019 menggunakan tiga metode. Metode yang digunakan yaitu Altman Z-Score, Zmijewski, dan Springate. Purposive sampling digunakan dalam penelitian ini untuk menentukan teknik pengambilan sampel. Sampel yang digunakan berjumlah 4 perusahaan rokok. Analisis deskriptif dengan pendekatan kuantitatif digunakan sebagai teknik analisis data. Dalam penelitian ini menjelaskan financial distress yang dihitung menggunakan metode Altman Z-Score, Zmijewski , dan Springate pada tahun 2015-2019 PT. HM Sampoerna Tbk, PT. Gudang Garam Tbk, dan PT. Wismilak Inti Makmur Tbk mengalami dalam kondisi keuangan yang sehat, namun terdapat perusahaan yang diestimasi rawan kebangkrutan pada perhitungan Altman Z-Score pada  tahun 2018 yaitu PT. Wismilak Inti Makmur Tbk. hal ini dapat terjadi  karena nilai Z-Score PT. Wismilak Inti MakmurTbk  berada pada Z < 1,81 salah satu penyebabnya ialah rendahnya rasio market value of equity terhadap liabilities.

scholarly journals Analysis of Method Used to Predict Financial Distress Potential in Pulp and Paper Companies of Indonesia

2020 ◽  
Vol 1 (1) ◽  
pp. 57-69
Author(s):  
Fadrul Fadrul ◽  
Ridawati Ridawati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Descriptive Analysis ◽  
Prediction Method ◽  
Pulp And Paper ◽  
Z Score ◽  
Accuracy Rate ◽  
Error Type ◽  
Paper Company ◽  
Score Method

This study aims to predict financial distress in pulp and paper companies in Indonesia. The data used are the financial statements of each pul and paper company listed on the Indonesia Stock Exchange in 2012-2017. Data analysis techniques used descriptive analysis with three methods of financial distress prediction, namely the Altman Z-Score, Springate, and Zmijewski methods. The results showed that the Zmijewski method is a prediction method with the highest accuracy rate of 100%, with an error type of 0%. The Altman Z-Score method has an accuracy rate of 28.6%, with an error type of 71.4%. While the Springate method has an accuracy rate of 14.3%, with an error type of 85.7%. Therefore an accurate prediction method to predict the potential for financial distress is the Zmijewski method.

scholarly journals PENERIMAAN OPINI AUDIT GOING CONCERN BERDASARKAN LEVERAGE DAN FINANCIAL DISTRESS

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Huda Aulia Rahman
Keyword(s):  
Regression Analysis ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Z Score ◽  
Mining Sector ◽  
Going Concern ◽  
Negative Effect ◽  
The Impact ◽  
Research Period

AbstractThe purpose of this study is to determine the impact of leverage and financial distress on going concern audit opinions of mining sector companies listed on the Indonesia Stock Exchange (IDX) with the 2012-2017 research period. Leverage was proxied using debt to asset ratio (DAR), and financial distress was proxied using Altman Z-Score. The object of this research used were 17 mining sector companies selected based on the random purposive sampling method. This study used data processing logistic regression analysis using SPSS version 25. The results of this research was financial distress have negative effect on going concern modification opinions, while leverage had no effect on going concern audit opinion.                         Keywords: Financial Distress, Leverage, Going Concern Audit Opinion  

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