scholarly journals Analisis Penilaian Financial Distress Dengan Menggunakan Model Altman Z-Score Dan Model Springate Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Periode Tahun 2015-2019

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Febriana Anindyka ◽  
Makhmud Zulkifli

The aim of this research to analyze financial distress of Manufature Company by using Altman Z-Score and Springate Models. Moreover, this research aimed to know aims to determine the similarities and differences in the results of the analysis of financial distress assessment using the Altman Z-Score model and the Springate Model. This research used Descriptive statistics and data analysis methods used  in this research were Altman Z-Score and Springate Model. To the finding on the research, it showed that (1) ) After evaluating the Altman Z-Score and Springate models, there are fifty companies that fall into different conditions. (2) The similarities and differences in the results of the Atman Z-Score model and the Springate model are the results of the two models that can be seen from having almost the same variable components and the difference is that the results of the financial distress assessment using the Altman Z-score model and the Springate model show that both These models have different criteria in determining the financial condition of a company.

2021 ◽  
Vol 69 (4) ◽  
pp. 20-29
Author(s):  
Snežana Knežević ◽  
Marko Špiler ◽  
Marko Milašinović ◽  
Aleksandra Mitrović ◽  
Stefan Milojević ◽  
...  

Bankruptcy is a risk that any company can face, regardless of its size. The importance of predicting a company's bankruptcy for years before its development is enormous, and it is important for financial sustainability. Financial reporting is an important platform for making financial decisions of investors and creditors. In recent years, the frequency of false financial reporting by firms has increased and there are concerns about investors' confidence in capital market. Academics and industry experts adopt a variety of risk management techniques to detect fraudulent financial reporting. A case study was applied in this paper. Based on publicly available financial data (disclosed financial statements) of a domestic textile company for the period 2017-2020, whose shares are listed on the stock exchange, a survey was conducted based on the application of Altman's Z-Score model and Beneish M-Score model. Financial distress is an important criterion to monitor when assessing the likelihood of fraud reporting. When a company is operating poorly, there is a greater motivation to engage in fraudulent financial reporting. The findings show that the results differ according to the applied method in terms of identifying the possibility of bankruptcy and the possibility of fraud in the financial statements of the observed company. The results of the study can be important to investors, auditors, regulators, bankers, tax and other government bodies.


2019 ◽  
Vol 3 (01) ◽  
Author(s):  
Suci Ariyani ◽  
Djumali Djumali ◽  
Ida Aryati

The purpose of this research is to know financial condition of Bakrie Telecom Tbk company using Altman and Zmijewski's analysis model period 2015-2017, during the period so its be able to predict financial distress happened inside the company. The data used to this research is secondary data, with population telecommunication companies go public enrolled in the Indonesia Stock Exchange (BEI) period 2015-2017. Data analysis techniques that used is Altman and Zmijewski's dicriminant analysis. The Altman's analysis model classified into three company categories, which are company that is in broken condition, grey area and not bankrupt/healthy. The Zmijewski's analysis model classified into two company categories, which are potentially bankrupt company and unpotentially bankrupt company/health. The results of the Bakrie Telecom Tbk company's financial distress analysis period of 2015-2017 used the Altman's model showed that company was not in bankrupt category/health .The results of the Zmijewski's analysis model showed in 2015 was not in bankrupt category/health category and in the year 2016-2017 was in the bankrupt category. Keywords: Bankruptcy , Altman , Zmijewski


2012 ◽  
Vol 3 (2) ◽  
pp. 654
Author(s):  
Iswandi Iswandi

PT. Berlian Laju Tanker, Tbk. (BLTA) is a company engaged in the ocean transportation services listed on the Indonesia Stock Exchange and the Singapore Stock Exchange. In 2009 and 2010 BLTA experienced a net loss. At the end of 2011 the company rocked the financial markets in Indonesia and Singapore being unable to meet financial obligations to financial institutions and corporate bondholders. Given such conditions until the end of August 2012 BLTA can not submit audited financial statement of year 2011 to the authorities of stock exchange and public. By using the 2007 to 2010 audited financial statements and June 2011 inhouse financial statement were analyzed using Altman's Z score model can be known that since 2007 BLTA produce a Z score were classified bankruptcy. Investors should analyze the financial condition by using Z Score in order to minimized shareholders and bondholders potential losses.


Author(s):  
Viciwati Viciwati

This study aims to identify and analyze the accurate models of Financial Distress in retail companies listed on the Indonesian Stock Exchange in 2014-2018 using the Zmijewski (X-Score) and Altman (Z-Score) Model. The sample used is 70. This study uses secondary data from the 2014-2018 annual financial reports. This study tested the hypothesis using the normality test and the Kruskal Wallis test or the difference test using SPSS version 26. The results of this study indicate that the Zmijewski (X-Score) model is the model that has the highest accuracy rate in predicting bankruptcy with an accuracy rate of 90%.


2021 ◽  
Vol 6 (1) ◽  
pp. 52
Author(s):  
Muhammad Rizal Affandi ◽  
Rita Meutia

This study aims to identify and analyze the potential for financial distress in airlines at Indonesia. The object of this research is the airlines listed on the Indonesia Stock Exchange (BEI), namely PT. Garuda Indonesia Tbk and PT. AirAsia Indonesia Tbk. The data used is in the form of financial reports that have been published on the Indonesia Stock Exchange through the website (www.idx.co.id) in the first quarter of 2020 – third quarter of 2020. The data analysis technique uses the Altman Z Score in predicting potential financial distress. The results of the study found that PT Garuda Indonesia Tbk and PT AirAsia Indonesia Tbk were in financial distress or in an unhealthy financial condition, and were classified as companies that have the potential to experience bankruptcy. Research shows that PT AirAsia Indonesia Tbk has a higher potential for bankruptcy than PT Garuda Indonesia Tbk.


NIAGAWAN ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 130
Author(s):  
Muhammad Salman ◽  
Catur Wulandari

The research was conducted with the aim of knowing the prediction of the potential for bankruptcy of the four State-Owned Enterprises (BRI, BNI, Bank Mandiri and BTN) using the Altman Z-Score, Springate and Grover G-Score models. The data analysis method used a prediction model for the occurrence of bankruptcy consisting of the Altman Z-Score, Springate and Grover G-Score. The results showed that the prediction of bankruptcy (financial distress) using the Altman Z Score model was obtained from 2015-2019 for the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained Z Score between 1.42-1 88 or at the criteria (cut off) Z <181 has the potential to go bankrupt and 1.81 <Z <2.99 gray area. Meanwhile, based on the Springate model from 2015-2019, the four State-Owned Enterprises (BRI, BNI, Bank Mandiri and BTN) overall obtained a Springate of 1.95 - 44.08 and were in the criteria (cut off) S> 0.862 and can be declared as not potentially bankrupt (healthy). Then based on Grover, it was obtained from 2015-2019 in the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained a G Score of 1.71 - 2.15 and were in the criteria of G ≥ 0.01 or no potential bankrupt (healthy). The results showed that the Altman Z Score model has a better value than Springate and Grover because the number of ratios is more so that it can predict bankruptcy better 


JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Lidya Martha ◽  
Sri Mardhatillah ◽  
Zusmawati Zus

Financial distress is the financial difficulties experience by a company before the company become bankruptcy (Mafiroh, 2016). The purpose of this study was to determine which firms would be predicted financial distress. The population in this research is manufacturing companies listed in Indonesia Stock Exchange in 2015. In this study, the population is used 365 companies. The process of collecting samples are using purposive sampling method. The model used to analyze the rate of financial distress is Altman Z-Score Model. The results showed that of the 15 companies that were sampled 5 (five) of them were healthy (>2,99), 2 (two) of them were financial distress (<1,81) and 8 (eight) indicated in grey area (1,81 – 2,99).  


2021 ◽  
Vol 31 (6) ◽  
pp. 1541
Author(s):  
Hisky Ryan Kawulur

The purpose of this study is to analyze and compare the predictive value of the Altman z-score model of financial distress with the Zmijewski model. The research method used is descriptive quantitative in explaining the phenomena that occur. This study uses data from Bukopin's financial statements for 2018, 2019 and 2020. Data analysis is carried out by calculating the ratio of each model from 2018, 2019 and 2020, then the results of the criteria from the altman z-score model and the zmijewski model are compared and analyzed according to the criteria. The results showed that both the Altman z-score model and the Zmijewski model gave the same results, namely in the years to come the company has the potential to face bankruptcy. Keywords: Altman Z-Score; Zmijewski; Banking; Comparison Model.


2019 ◽  
Vol 4 (2) ◽  
pp. 298
Author(s):  
Yunan Surono ◽  
Sindy Dwiroro Pangestu

This research aims to prove the financial performance of Manufacture sector with Multiple Discriminant Analysis Bankruptcy Model when measured using the Altman's Z-score first model, Altman's Z-score revision and Altman's Z-score modifications, Springate model and Zmiejewski model as well as to get the stocks that have the best performance based on the model. In this research the population used is the stock sector manufacturing group on the Indonesia Stock Exchange in the year 2014 – 2017 as many as 166 issuers manufacture. This research sample is the manufacture sector company, which provides complete data, and has a total asset of positive value and fluctuates as many as 22 companies. This form of research is an explolanatoris research (explanatory Research). The results showed, that based on the first Altman's Z-score model, in 2014 the company's performance in a healthy or not bankrupt category was 31.82%, while the company had a gray performance of 22.73%, as for The company's performance with the category broke by 45.45%. In 2015 the company's performance with a healthy category of 27, 27, 82%, a company that had a gray performance of 27.27%, the company's performance of the category went bankrupt by 45.45%. In 2016 the company's performance with a healthy category of 22, 73, 82%, the company had a gray performance of 36.36%, as for the performance of the company with the category bankrupt by 36.36%. In 2017 the company's performance with a category of 40.91%, the company has a gray performance of 22.73%, as for the performance of the company with the category bankrupt by 36.36%. Based on the model Altman Z-Score revision can be concluded that in 2014 the company's performance with a healthy category of 31.82%, a company that has a gray performance of 54.55%, as for the performance of the company with the category bankrupt 13.64%. Year 2015 the performance of the company with a healthy category of 27.27%, the company has a gray performance of 54.55%, the company with the category went bankrupt by 18.18%. Year 2016 the company's performance with a healthy category of 45.45%, while the company has a gray performance of 36.36%, the company with the category went bankrupt by 18.18%. Year 2017 the performance of the company with a healthy category of 50.00%, the company that has a gray performance of 31.82%, the performance of the company with the category bankrupt by 18.18%. Based on the model of Altman Z-score modification can be concluded, namely in 2014 the performance of the company with a healthy category of 72.73%, the company that has a gray performance of 22.73%, as for the performance of the company with the category bankrupt of 4.55%. In 2015 the company's performance with a healthy category of 72.73%, while the company had a gray performance of 18.18%, as for the company's performance in the category went bankrupt by 9.09%. In 2016 the company's performance with a healthy category of 77.27%, the company had a gray performance of 13.64%, the company's performance in the category went bankrupt by 18.18%. In 2017 the company's performance with a healthy category of 81.82%, while the company had a gray performance of 13.64%, as for the company's performance in the category went bankrupt by 4.55%. Based on Springate model can be concluded, namely in 2014 the performance of the company with a healthy category of 59.09%, while companies that have a gray performance is not there, as for the performance of the company with the category bankrupt by 40.91%. In 2015 the company's performance with a healthy category of 50.00%, while companies that had a gray performance did not exist, the performance of the company with the category went bankrupt by 50.00%. In 2016 the company's performance with a healthy category of 59.09%, while companies that have a gray performance does not exist, as for the performance of the company with the category bankrupt by 40.91%. In 2017 the company's performance with a healthy category of 63.64%, while companies that have a gray performance does not exist, as for the performance of the company with the category bankrupt by 36.36%. Based on Zmiejewski model can be concluded, in 2014 to 2017 the performance of companies with a healthy or not bankrupt category is 100%, while companies that have a gray performance does not exist, as for the performance of the company with Bankruptcy category does not exist. Stocks that have the best performance based on each multiple discriminant analysis bankruptcy models respectively, namely INTP, CEKA, MERK, GGRM, LMSH, CPIN, MLBI, IKBI, TRIS UNIC and INDF, who have never experienced bankruptcy or in financial distress.


Author(s):  
St Ibrah Mustafa Kamal ◽  
Luksi Visita

Purpose – Banking is one of the hearts of the economy in Indonesia. This study aims to determine the financial condition of banking in Indonesia.Method – The data in this study uses financial reports of bank. The technique of data analysis uses the Altman Z-Score model. By using five variables that represent the liquidity ratio X1, X2 and X3 profitability, X4 and X5 activities. With the criteria of assessment Z-Score 2.99, it is categorized as a very healthy company. 1.81 Z-Score 2.99 is in the gray area so that the probability of being saved and the possibility of bankruptcy is the same depending on the policy decision of the company management as the decision maker. Z-Score 1.81 is categorized as a company which has an enormous financial problem at high risk, so that the possibility of bankruptcy is very largeResult – As the result, it can be seen that Indonesian banks from 2008-2010 were at risk of going through financial difficulties and then survived and in the following years became more stable, while some banks were in unstable but survived and fixed their financial issues.Implication – This research can help Indonesian banks to evaluate their financial performanceOriginality – The originality of this research lies in the object under study, test analysis, and research location.


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