scholarly journals The Effect Of Financial Ratios To Financial Distress Using Altman Z-Score Method In Real Estate Companies Listed In Indonesia Stock Exchange Period 2014 - 2018

2019 ◽  
Vol 19 (2) ◽  
pp. 119
Author(s):  
Ouw Desiyanti ◽  
Wahyoe Soedarmo ◽  
Kristian Chandra ◽  
Kusnadi Kusnadi

<p><strong><em>Purpose</em></strong><em> - The purpose of this paper is to find out the effect of Financial Ratio on Financial Distress using Z-Score Altman method.</em></p><p><strong><em>Design/Methodology/approach</em></strong><em> - This paper uses data from 21 property and real estate companies listed in BEI period 2014-2018 with 105 data observations. The variables used are ROE (Return On Equity), DER (Debt to Equity Ratio), CR (Current Ratio), WCR (Working Capital Ratio) and Z-Score.</em></p><p><strong><em>Findings </em></strong><em>- The results show that ROE and WCR have a positive significant effect on Z-Score Altman's financial distress, DER and CR have negative significant effect on Z-Score Altman's financial distress. While simultaneously shows that at least one variable have a significant effect on Z-Score Altman financial distress.</em></p><p><em>The financial condition of companies in the real estate sector has worsened over the years, marked by the increasing number of companies that were in financial distress from 5 companies in 2014 to 9 companies in 2018. Likewise with companies in the financial condition of gray areas from 8 companies in 2014 became 9 companies in 2018. While companies with a healthy financial condition decreased from 8 companies in 2014 to 3 companies in 2018.</em></p><p><strong><em>Research limitation/implications</em></strong><em> - The sample is small, and consequently, findings may not be generalisable to the population.</em></p><p><strong><em>Originality/value</em></strong><em> - This paper aims to obtain empirical evidence of how financial ratios affect financial distress and also the exposure of financial distress probabilities to real estate companies that are used as research samples.</em></p>

2019 ◽  
Vol 2 (2) ◽  
pp. 125
Author(s):  
Imas Nurani Islami ◽  
William Rio

This study aims to prove the ability of financial ratios in measuring financial distress. As is known that the start of the number of new companies that compete in order to achieve corporate goals, even more national companies that want to compete with foreign companies. On this basis, researchers attempt to prove the probability of occurring financial distress by using several financial ratios, especially large companies such as property and real estate firms. The financial ratios used in this study are current ratio, debt ratio, return on equity ratio, and capitalization ratio. With the type of research that is quantitative, the population that has been used in this study are property and real estate companies listed on the Indonesia Stock Exchange period 2012-2016. -. The sample obtained is a company that continuously publish its financial report within five years. According to the results of research that has been done, the ratio is able to measure the possibility of financial distress in property companies and real estate is the current ratio, debt ratio, and return on equity ratio. While the ratio is not able to measure the likelihood of occurrence of financial distress is capitalization ratio.


2017 ◽  
Vol 13 (2) ◽  
pp. 129-141
Author(s):  
Umi Ambarwati ◽  
Sudarwati Sudarwati ◽  
Rochmi Widayanti

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.


2015 ◽  
Vol 12 (2) ◽  
Author(s):  
Michella Maria Virgine Prayogo ◽  
Yie Ke Feliana ◽  
Aurelia Carina Christanti Sutanto

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.


2020 ◽  
Vol 8 (2) ◽  
Author(s):  
Felicia Komala ◽  
Yustina Triyani

Financial distress is a steep decrease in the company's financial condition before the company went bankrupt. Financial distress can be analyzed through financial ratios and the ownership structure of the company. This study used logistic regression analysis. The sampling technique is non-probability sampling using a purposive sampling method. The study sample consisted of 70 companies on the Stock Exchange from the 2015-2017 period. Based on regression, Grover, the Springate model showed that the model can predict the value of observation. The results indicate there is sufficient evidence that tends to leverage positively affects both financial distress with Grover and Springate model, a firm's growth tends to negatively affect financial distress with the Springate model, and institutional ownership tends to weaken the influence of leverage to financial distress with Springate model. On the other hand, there is not enough evidence that the firm's growth tends to negatively affect the financial distress with the Grover model. Managerial ownership does not affect moderate leverage and growth of the firm towards better financial distress with the Grover and Springate model. Institutional ownership does not affect moderating leverage of financial distress relationship with the Grover model. Institutional ownership does not affect the firm's growth to moderate the relationship financial distress with Grover or Springate model.Keywords: Financial ratio analysis, Ownership structure, Financial distress


2020 ◽  
Vol 5 (2) ◽  
pp. 203
Author(s):  
Jezzyca Ria Paramita ◽  
Iwan Eka Putra ◽  
Abd Halim ◽  
Ermaini Ermaini

Financial performance is an overview of how a company's financial condition is. To assess financial performance is used with a benchmark commonly called financial ratios. Financial ratios used are usually such as profitability ratio, liquidity ratio and solvency ratio. in addition to using financial ratios, the company can also use the Altman Z-Score method to assess the level of the company's bankruptcy prediction. This research aims to find out the financial performance of PT Japfa Comfeed Indonesia Tbk as well as the company's future bankruptcy predictions. the research method used is quantitative analysis based on secondary data taken from the Financial Statements of PT Japfa Comfeed Indonesia Tbk for the period 2014 to 2019. The results of the study are measurements of the company's financial ratio showing sufficient value while measurements using the company's Altman Z-Score method show healthy value which means it does not go into bankruptcy.


2017 ◽  
pp. 1-19
Author(s):  
Abdonsius Sitanggang

The research aims to analyze the financial conditions to assess financial health at a manufacturing company in Indonesia Stock Exchange Listings. The benefits of the research is to provide material information to management and stakeholders regarding financial health as a material consideration for management or other parties, such as investors and potential investors, creditors and other parties for decision making. The population of the research was the financial report of a manufacturing company in Indonesia stock exchange listing as many as 140 companies. Sample research is as many as 30 companies. Opersionalisasi research is variable: the ratio of working capital to Total Assets, the ratio of net income to Total Assets was detained, the ratio of EBIT to Total Assets, and the ratio of the value of the capital markets themselves by taking action against Total Debt in 2009-2011. The required data are secondary data collected through technical documentation, data analysis techniques used are descriptive method. Based on the results of the study it can be concluded that corporate financial kondish manufacturing Indonesia stock exchange listings are rated from financial ratios, that ratio analysis is not membarikan a clear picture to stakeholders about health conditions and symptoms of the bankruptcy of the company. The listhne manufacturing company in BEI has not used the Z-Score model to know their financial health. Sporting results results of the discriminant equation obtained data 0, 553X1 0, 507X2 0, 409X3 0, 009X4. The value of the discriminant tells us that the ratio of working capital to Total Assets, the ratio of net income to Total Assets was detained, the ratio of EBIT to Total Assets and the ratio of the value of Own capital market Debt to Total positive effect of bankruptcy prediction manufacturing company listed in the stock exchange Inonesia. Wilks Lambda test results show that the ratio of working capital to Total Assets Ratio Return on hold, with a Total Assets, the ratio of EBIT to Total assets and market value of private equity with Total debt, significant positive effect on the symptoms of a manufacturing company in bankruptcy listings in Indonesia stock exchange. The z-score of 2009 indicates that its financial condition healthy companies as much as 22 companies and there are 8 companies in financial distress, indicating conditions are forecast to be bankrupt. In 2010, there were 21 companies that have a healthy financial condition while nine companies in In 2011, there are 24 companies that have a healthy financial condition while 6 company again in conditions of financial distress which indicates the forecast will go bankrupt. The advice given as consideration to the company is the company should implement a Z-Score method for knowing the financial condition, whether in financial distress or in kodisi healthy so that management and the users of the financial statements and other information to assess and predict the likelihood of the presence of symptoms of the bankruptcy of the company


2020 ◽  
Vol 1 (2) ◽  
pp. 88-97
Author(s):  
Romlina Romlina ◽  
Syahril Effendi

The purpose of this study was to determine the Effect of Financial Ratios on Stock Returns on LQ45 Companies Listed on the Indonesia Stock Exchange. The independent variables used are Financial Ratios. The dependent variable used is Stock Return. The population in this study is the Current Ratio, Return on Equity, Debt to Equity Ratio, and Stock Return data on LQ45 companies listed on the Indonesia Stock Exchange for 5 years from 2015-2019. The sample in this study is LQ45 companies listed on the Indonesia Stock Exchange (IDX). Data analysis techniques in this study include multiple linear regression. The test results in this study indicate that the Current Ratio variable has no significant effect on Stock Return. From the results of testing the variables above, the Current Ratio shows the calculated T value of -0.242 T value of the table 2.016 with a significance number 0.810> 0.05. The Return on Equity variable influences the Stock Return. From the results of testing the variables above, Return on Equity shows that the calculated T value of 2.232> T table value of 2.016 with a significance number of 0.031 <0.05. Debt to Equity Ratio variable has a significant effect on Stock Return. From the results of testing the variables above, Debt to Equity Ratio shows that the calculated T value of 5.923> T table value of 2.016 with a significance number of 0.000 <0.05. Current Ratio, Return on Equity, and Debt to Equity Ratio together have a significant effect on Stock Returns with the number that a significant value of 0,000 <0.05 and an F count of 14.498> F table of 3.21.


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 13 (2) ◽  
pp. 135-148
Author(s):  
Andreas Suhendi ◽  

This research aims to know the financial performance of companies with the Altman Z-Score Model in the Automotive Sub-Sector Manufacturing Companies Listed on the Indonesia Stock Exchange in 2016-2018. The research method used in this study is a descriptive method with data analysis techniques using the financial ratio method. The results showed that PT. Astra International Tbk, PT. Astra Otoparts Tbk, PT. Gajah Tunggal Tbk and PT. Indospring Tbk is safe from the threat of bankruptcy, while the highest average Z-Score is achieved by PT Selamat Sempurna Tbk and the lowest average Z-Score is achieved by PT Indomobil Sukses International Tbk. Thus, the Company is expected to maintain company liquidity, restructure debt, minimize receivables, increase profit levels and maximize marketing in order to increase sales so that the potential for financial distress in the company can be minimized.


2021 ◽  
Vol 9 (3) ◽  
pp. 1293-1307
Author(s):  
Vynda Myllariza

Financial distress is a condition that occurs in a company that is characterized by financial difficulties, and if it occurs continuously, it will cause bankruptcy, so analysis is needed to determine the factors that influence these conditions. This study aimed to determine the factors that affect the company's financial distress in the consumer goods industry sector. Predictors used as independent variables are financial ratios which include return on assets, return on equity, current ratio, debt to assets ratio, debt to equity ratio, and macroeconomics (inflation and exchange rates) to predict financial distress in companies. The type of research used is causal associative. In taking the research sample using purposive sampling technique and obtaining 26 companies in the consumer goods industry sector listed on the Indonesia Stock Exchange for the 2015-2019 period. Data analysis techniques in the form of logistic regression with SPSS. The results of this study indicate that the financial ratio variables used do not affect financial distress. In addition, macroeconomic variables, which include inflation and exchange rates, also have no significant effect on financial distress.


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