scholarly journals Analisis Financial Distress Menggunakan Metode Altman Z–Score pada PT. Golden Plantation Tbk. Periode 2014-2018

2021 ◽  
Vol 2 (1) ◽  
pp. 102-121
Author(s):  
Cintya Meiske Idi ◽  
Johanis Darwin Borolla
Keyword(s):  
Financial Distress ◽  
Quantitative Data ◽  
Financial Statements ◽  
Future Research ◽  
Z Score ◽  
Analysis Method ◽  
Working Capital ◽  
Dangerous Zone ◽  
Score Method ◽  
Selection Of

The goal of this study is to decide how the effects of the analysis of predictions of financial distress using the Atlman Z-score method with estimates for the period 2014-2018 on PT Golden Plantation Tbk are determined. PT Golden Plantation, which is a business engaged in the oil palm plantation industry with the type of data used, is the focus of this study, namely quantitative data in the form of the financial statements of PT Golden Plantation for the period 2014 to 2018. And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study. It can be inferred that, based on the findings of the report, the organization started to encounter financial distress in 2014. In 2015 to 2018 the altman z - score of PT Golden Plantation was <1.1 or a dangerous zone which means that PT Golden Plantation Tbk is in a bankrupt condition. And we can be sure that the company will also face financial problems in the next few years. This is attributable to the selection of debt used by the firm. The utilization of the company's existing debt tends to rise each year, exceeding the value of the company's current assets, so that the working capital of the company still has a negative variable. To Future research is suggested to add other variables in examining financial distress.

scholarly journals Financial Distress Analysis in an Indonesian Textile Company

2021 ◽  
Author(s):  
Yanuar Ramadhan ◽  
Marindah Marindah
Keyword(s):  
Financial Distress ◽  
Market Value ◽  
Total Asset ◽  
Z Score ◽  
Working Capital ◽  
Book Value ◽  
Purposive Sampling ◽  
Simultaneous Effect ◽  
Score Method ◽  
Altman Model

This research aimed to examine the health of textile companies by using the Altman Z-Score method. The Altman model is used to determine the effect on financial distress through Working Capital to Total Asset (WCTA), Retained Earning to Total Asset (RETA), Earning Before Interest and Tax to Total Asset (EBITA), Market Value of Equity to Book Value of Liabilities (MVEBL) and Sales to Total Asset (STA). The population in this study was textile companies for the period 2016-2019. The sample was 14 textile companies with a research time of 4 years resulting in 56 samples obtained by purposive sampling. The results indicated that WCTA, RETA, EBITA, MVEBL and STA had a simultaneous effect on financial distress, but they had no effect separately. Keywords: Altman Z-Score, financial distress, bankruptcy

scholarly journals ANALISIS PERBANDINGAN METODE ALTMAN Z-SCORE DAN METODE SPRINGATE SCORE DALAM MENENTUKAN FINANCIAL DISTRESS PADA PERUSAHAAN ASURANSI JIWA SYARIAH TAHUN 2014-2018

2020 ◽  
Vol 7 (12) ◽  
pp. 2494
Author(s):  
Iif Maulidya ◽  
Dian Filianti
Keyword(s):  
Life Insurance ◽  
Financial Distress ◽  
Financial Statements ◽  
Insurance Companies ◽  
Z Score ◽  
Marine Life ◽  
Financial Distress Prediction ◽  
Distress Prediction ◽  
Score Method ◽  
Method Show

ABSTRAKTujuan penelitian ini adalah untuk mengetahui dan menganalisis prediksi financial distress pada perusahaan asuransi jiwa syariah dari tahun 2014 hingga 2018 dengan menggunakan metode Altman Z-Score dan Springate S-Score. Penelitian ini menggunakan data sekunder yaitu laporan keuangan tahunan perusahaan asuransi jiwa syariah periode 2014-2018. Metode pengumpulan data yang digunakan adalah metode dokumentasi dengan menggunakan studi pustaka. Studi literatur ini dilakukan dengan mengambil informasi secara tidak langsung terkait dengan laporan keuangan dan profil lengkap perusahaan asuransi yaitu melalui situs resmi perusahaan asuransi jiwa syariah dan Otoritas Jasa Keuangan (OJK). Hasil akhir penelitian ini menunjukkan bahwa kinerja keuangan yang dianalisis dengan metode Altman Z-Score dan Springate S-Score pada perusahaan asuransi jiwa syariah periode 2014-2018 tergolong dalam keadaan financial distress. Hasil prediksi financial distress dengan menggunakan metode Altman Z-Score menunjukkan tiga perusahaan mengalami financial distress yaitu PT. Bringin Jiwa Sejahtera, Asuransi Jiwa, PT. Tokio Marine Life Insurance Indonesia, PT. Asuransi Jiwa Asia Tengah Raya. Hasil prediksi financial distress dengan metode Springate S-Score menunjukkan lima perusahaan mengalami financial distress yaitu PT. Asuransi Jiwa Tokio Marine, PT. Panin Daichi Life, PT. Bringin Jiwa Sejahtera, Asuransi Jiwa, PT. Asuransi Jiwa Bringin Jiwa Sejahtera, dan PT. Asuransi Jiwa Asia Tengah Raya.Kata kunci: financial distress, metode Altman Z-Score, metode Springate S-Score ABSTRACTThe purpose of this study was to determine and analyze the prediction of financial distress in Islamic life insurance companies from 2014 to 2018 using the Altman Z-Score and Springate S-Score methods. This study uses secondary data, namely the annual financial statements of Islamic life insurance companies for the 2014-2018 period. The data collection method used is the documentation method using literature studies. This literature study was carried out by taking information indirectly related to financial statements and complete profiles of insurance companies, namely through the official website of the Islamic life insurance company and the Financial Services Authority (OJK). The final results of this study indicate that the financial performance analyzed by the Altman Z-Score and Springate S-Score methods in Islamic life insurance companies in the 2014-2018 period was classified as being in a state of financial distress. The results of financial distress prediction using the Altman Z-Score method show that three companies experience financial distress, namely PT. Bringin Jiwa Sejahtera, Life Insurance, PT. Tokio Marine Life Insurance Indonesia, PT. Central Asia Life Insurance Raya. The results of financial distress prediction using the Springate S-Score method show that five companies experience financial distress, namely PT. Tokio Marine Life Insurance, PT. Panin Daichi Life, PT. Bringin Jiwa Sejahtera, Life Insurance, PT. Bringin Jiwa Sejahtera Life Insurance, and PT. Central Asia Life Insurance Raya.Keywords: financial distress, Altman Z-Score method, Springate S-Score method

scholarly journals Post COVID-19 Financial Distress: Prediction of Corporate Defaults at Pakistan Stock Exchange (PSX)

2021 ◽  
Vol 5 (1) ◽  
pp. 286-400
Author(s):  
Khalid Mumtaz Khan ◽  
Naeem Ullah
Keyword(s):  
Financial Markets ◽  
Financial Distress ◽  
Stock Exchange ◽  
Economic Recession ◽  
Financial Statements ◽  
Future Research ◽  
Z Score ◽  
Corporate Default ◽  
Financial Distress Prediction ◽  
Distress Prediction

COVID-19 has slowed down the global economic activity which is expected to turn into an economic recession, where firms are expected to experience financial distress leading to corporate defaults. Predicting such defaults is important to safeguard stakeholders’ interest in financial markets. This study has estimated extent of financial distress among firms listed at PSX and constituting KSE 30 index, by using Altman’s Z-Score. The score has been computed using financial statements of 2019-20, and on proforma financial statements for 2020-21 2019-20, considering these financial years as pre and post COVID-19 closing dates respectively for financial statements. The proforma financial statements have been drawn for financial 2020-21 2019-20 using established accounting conventions of prudence, conservatism, substance over form, ad foreseeable future. The results of Z-score in pre and post COVID-19 have been compared to assess the change in degree of financial distress among the selected firms. A significant increase in the degree of financial distress has been observed, which may lead to an increased number corporate default for the firms listed at PSX. Suggestion have been made to the firms and corporate regulators to curtail the rate of corporate defaults, along with limitation of this study and areas of future research.

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.

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 Insolvency Risk. Application of Altman Z-score to the auto parts sector in Romania

2021 ◽  
Vol 7 (4) ◽  
pp. 37-48
Author(s):  
Rodica Baciu ◽  
Brezeanu Petre ◽  
Adrian Simon
Keyword(s):  
Interest Rates ◽  
Motor Vehicle ◽  
Stress Test ◽  
Future Research ◽  
Z Score ◽  
Working Capital ◽  
Insolvency Risk ◽  
Medium Risk ◽  
Capitalization Rate ◽  
Score Model

This paper intends to apply the Altman Z-score model to all the companies active in the wholesale of motor vehicle parts and accessories (NACE 4531), with extended financial statements. Using the panel data model over the time series for 2008-2016 on the companies of this sector, we conclude that 99% of the Z-score is explained by the independent variables (working capital, capital structure, turnover, earnings before interest and tax), with estimated parameters very close to the models classical values. The sample description of the paper and the corresponding results highlights the Z-score evolution by turnover clusters and principal components, with the largest companies performing the best (the only cluster with Z-score median above 3). We notice a tendency for decreasing high risk companies and increase in the medium risk companies, whereas the low risk companies are relatively stable. This improvement is mostly due to increasing capitalization rate and less external debt, despite the deteriorating working capital and operating margin. We believe that future research to evaluate Z-score sensitivity under stress test scenarios would be very useful to provide an insight of companies’ insolvency risk amid increasing interest rates and different fiscal tax on dividend.

scholarly journals ANALISA LAPORAN KEUANGAN BERDASARKAN TINGKAT RENTABILITAS PADA PT. BANK PEMBANGUNAN DAERAH SUMATERA BARAT

2021 ◽  
Author(s):  
Zea Putri Yonanda ◽  
jhon fernos
Keyword(s):  
Data Analysis ◽  
Quantitative Data ◽  
Financial Statements ◽  
Analysis Method ◽  
Data Analysis Method ◽  
Standard Set ◽  
Good For

The purpose of this study is to determine the analysis of financial statements based on the level rentabilitas at PT. Bank Pembangunan Daerah Sumatera Barat. Data analysis method using quantitative data, namely data sourced from the financial statements of PT. Bank Pembangunan Daerah Sumatera Barat. Based on the results of research where the 2017-2019 perio shows that, the average NPM value 24.42%, with the standards set by Bank Indonesia 3% - 12.5%, the evaluation results are very good. For an average ROA value 1.47%, with the standards set by Bank Indonesia of 0.5% - 1.25%, the evaluation results are good. For an average ROE value 21%, with the standard set by Bank Indonesia of 5% - 12.5%, the evaluation results are very good.

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 ANALYSIS METHOD OF ALTMAN Z SCORE MODIFICATIONS TO PREDICT FINANCIAL DISTRESS ON THE COMPANY GO PUBLIC SUB SECTOR OF THE AUTOMOTIVE AND COMPONENTS

2018 ◽  
Vol 2 (03) ◽  
Author(s):  
Suhesti Ningsih ◽  
Febrina Fitri Permatasari
Keyword(s):  
Financial Distress ◽  
Automotive Sector ◽  
Z Score ◽  
Analysis Method ◽  
Average Value ◽  
Public Company ◽  
Year 2013

This research aims to analyze the variables from methods of Altman Z Score Modification in predicting financial distress in go public company automotive sub sector and component 2012-2016 periods. The results of the analysis using the method of Altman Z Score Modifications show that companies in the automotive sector and sub components of almost every year there are enterprises that are predicted to have experienced financial distress. In 2012 the company predicted experience financial distress is GDYR, the year 2013 there are 2 companies i.e. BOLT and GDYR, the year 2014 they are IMAS GDYR and predictable. In the year 2015 there are 2 companies i.e. IMAS, GDYR and 2016 year whereas LPIN is GDYR, IMAS and PRAS. The results of the analysis of the average value of Z "Score of years 2012-2016 under 1,1 on go public company automotive sub sector and components according to the analysis of Z" Score of the companies in financial distress condition is GDYR and the IMAS. From the analysis results annually and on average during the period 2012 to 2016 suggest that there are some companies that are predictable in financial distress is evidenced by the value of its Z "Score under 1,1.

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