scholarly journals APLIKASI MODEL ALTMAN Z”-SCORE PADA PERUSAHAAN-PERUSAHAAN AGRIKULTUR DI BURSA EFEK INDONESIA (PERIODE 2010-2017)

2019 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Vinko Satrio Pekerti ◽  
Lenni Yovita
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Z Score ◽  
Purposive Sampling

Penelitian ini bertujuan untuk mengaplikasikan salah satu model prediksi kebangkrutan bernama Altman Z-Score, khususnya model yang dapat digunakan untuk mengukur financial distress dari perusahaan-perusahaan non-manufaktur (Z”-Score), pada perusahaan-perusahaan yang masuk di dalam Indeks Saham Agrikultur di Bursa Efek Indonesia. Sampel yang digunakan di dalam penelitian ini berjumlah delapan perusahaan dengan menggunakan purposive sampling method. Laporan keuangan tahunan perusahaan dari tahun 2010 sampai 2017 merupakan jenis data sekunder yang digunakan di penelitian ini.Analisa deskriptif kuantitatif digunakan untuk mendiskusikan hasil perhitungan Z”-Score masing-masing perusahaan sampel di setiap tahun observasinya. Diharapkan bahwa hasil penelitian ini dapat memberikan gambaran dan solusi bagi pihak manajemen perusahaan untuk memperbaiki kondisi keuangan di perusahaan yang dikelolanya. Di sisi lain, hasil penelitian ini juga diharapkan dapat bermanfaat bagi para investor sebagai salah satu alat pengambilan keputusan untuk menempatkan dana investasinya pada perusahaan yang tepat.Kata Kunci: Altman Z-Score; Kebangkrutan; Investasi

scholarly journals MODEL ALTMAN Z-SCORE UNTUK MEMPREDIKSI FINANCIAL DISTRESS : STUDI EMPIRIS PADA INDUSTRI MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

JURNAL PUNDI ◽  
2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Lidya Martha ◽  
Sri Mardhatillah ◽  
Zusmawati Zus
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Purposive Sampling ◽  
Financial Difficulties ◽  
Grey Area ◽  
Score Model ◽  
A Company

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).  

scholarly journals PENGARUH JUMLAH DEWAN DIREKSI DAN SHAREHOLDER EQUITY TO TOTAL ASSET RATIO TERHADAP FINANCIAL DISTRESS (Studi Pada Perusahaan Manufaktur yang Terdaftar Di BEI Tahun 2012-2015 )

2017 ◽  
Vol 22 (3) ◽  
Author(s):  
Michelle Kristian
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Z Score ◽  
Purposive Sampling ◽  
Multiple Regression Method ◽  
Equity Ratio ◽  
Score Model ◽  
Positive Effect

The objective of this research was to examine the directors size and shareholderequity ratio towards financial distress. In this research, directors size measured by its size and shareholder equity ratio measured by comparing shareholder equity to total assets, while financial distress was measured by Altman Z-Score Model with five ratios.The object in this research was companies that are experiencing financial distress and were listed at Indonesia Stock Exchange (IDX) for period 2012 until 2015. The sample was selected by using purposive sampling method and the secondary data used in this research was analyzed by using multiple regression method. In total, there were 22 companies that fulfill the requirements set by the researcher.The results of this research were directors size and shareholder equity ratio simultaneously had significant effect on financial distress. Directors size had no positive effect on financial distress and Shareholder equity ratio had positive significant effect on financial distress. Tujuan dari penelitian ini adalah untuk menguji ukuran direksi dan rasio ekuitas pemegang saham terhadap tekanan keuangan. Dalam penelitian ini, ukuran direksi diukur dengan ukuran dan rasio ekuitas pemegang saham yang diukur dengan membandingkan ekuitas pemegang saham dengan total aset, sedangkan financial distress diukur dengan Altman Z-Score Model dengan lima rasio. Objek dalam penelitian ini adalah perusahaan yang mengalami financial distress. dan terdaftar di Bursa Efek Indonesia (BEI) untuk periode 2012 sampai 2015. Sampel dipilih dengan menggunakan metode purposive sampling dan data sekunder yang digunakan dalam penelitian ini dianalisis dengan menggunakan metode regresi berganda. Secara keseluruhan, ada 22 perusahaan yang memenuhi persyaratan yang ditetapkan oleh peneliti. Hasil penelitian ini adalah rasio direksi dan rasio ekuitas pemegang saham secara simultan berpengaruh signifikan terhadap financial distress. Ukuran Direksi tidak berpengaruh positif terhadap financial distress dan rasio ekuitas pemegang saham berpengaruh positif signifikan terhadap financial distress.

Pengaruh Perubahan Laba, Arus Kas Operasi, DER dan DAR Terhadap Financial Distress pada Perusahaan Sub Sektor Semen, Keramik Porselin dan Kaca yang Terdaftar di BEI Tahun 2015 – 2019

2021 ◽  
Vol 11 (1) ◽  
pp. 1-14
Author(s):  
Ananda Rama Dhani ◽  
Nolla Puspita Dewi
Keyword(s):  
Cash Flow ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sample Selection ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Equity Ratio

This study aims to (1) determine the effect of Profit Changes on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (2) determine the effect of Operational Cash Flow on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (3) determine the effect of Debt To Equity Ratio (DER) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesian Stock Exchange (4) determine the effect of Debt To Asset Ratio (DAR) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange (5) determine the effect of Profit Changes, Operational Cash Flow, Debt T Equity Ratio (DER), Debt To Asset Ratio (DAR) on Financial Distress in Manufacturing companies in the cement, porcelain and glass sub-sector listed on the Indonesia Stock Exchange. The period used in this study is the period 2015-2019.The population in this study were Manufacturing companies in the sub-sector of cement, porcelain and glass which are listed on the Indonesia Stock Exchange. The sample selection used purposive sampling method.

scholarly journals Corporate Governance to Prevent Financial Distress Evidence from Corporate Governance Perceptions Index of Indonesian Companies

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Teti Rahmawati ◽  
Yana Hendriyana
Keyword(s):  
Corporate Governance ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Company Size ◽  
Purposive Sampling ◽  
Good Corporate Governance ◽  
Unobserved Variables

This study aims to determine the influence of Good Corporate Governance (GCG), Company Size, Liquidity, and Rentability on Financial Distress of companies listed on Corporate Governance Perception Index (CGPI) partially and simultaneously. �The population of this research is companies listed on the Indonesian Stock Exchange (BEI) and Corporate Governance Perception ranks starting from 2013 to 2016. Based on the criteria above, 59 companies are selected. The sampling of this research is taken by using purposive sampling method from the population with a target of several considerations. The result shows that Good Corporate Governance does not significantly influence Financial Distress, Company Size negatively affects Financial Distress, Liquidity positively affects Financial Distress, and Rentability positively affects Financial Distress.� Good Corporate Governance, Company Size, Liquidity, and Rentability partially influence Financial Distress with coefficient determination is 92,25% while 2,75% is explained by other unobserved variables in outside the model.

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 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  

scholarly journals PENGARUH KINERJA KEUANGAN, RISK BASED CAPITAL, UKURAN PERUSAHAAN DAN MAKROEKONOMI TERHADAP FINANCIAL DISTRESS

2021 ◽  
Vol 10 (1) ◽  
pp. 55
Author(s):  
Agustina Nilasari
Keyword(s):  
Firm Size ◽  
Financial Distress ◽  
Annual Report ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Insurance Companies ◽  
Insurance Company ◽  
Z Score ◽  
Research Information ◽  
Purposive Sampling

                                                     ABSTRACTThis research intends to examine the effect of insurance company financial ratios, namely solvency margin ratio, risk based capital, firm size, inflation and exchange rate on the estimated financial distress of life insurance companies. As well as general public listed on the Indonesia Stock Exchange from 2015 to 2019. This research is important considering that there have been cases of default by insurance companies. The research information in this research is secondary data obtained in the annual report which is sourced from BEI website and insurance company websites. The sample technique in this research is a purposive sampling technique, there are 35 samples that meet the standards to become samples. Insurance companies experiencing financial distress are determined based on the non-manufacturing Altman Z-score method. Multiple linear regression is the research technique chosen by researchers. This research results in the conclusion that only the firm size variable has an influence on financial distress estimates. The independent variables are able to explain the financial distress variable as much as 32.8%, the deficiency as much as 67.2%, which illustrates the variables that cannot be taken into account in the analysis of this study.                                                 ABSTRAKRiset ini bermaksud untuk menelaah pengaruh rasio keuangan perusahaan asuransi yakni solvency margin ratio (SMR), risk based capital (RBC), ukuran perusahaan (UK), inflasi (INF) serta nilai tukar (NT) terhadap perkiraan timbulnya keadaan financial distress perusahaan asuransi jiwa serta umum yang tercatat pada Bursa Efek Indonesia dari rentang waktu 2015 sampai 2019. Penelitian ini penting mengingat adanya kasus gagal bayar perusahaan asuransi. Informasi penelitian di dalam riset ini merupakan data sekunder yang didapatkan pada annual report yang bersumber dari website BEI serta website perusahaan asuransi. Teknik sampel di dalam riset ini merupakan teknik purposive sampling, terdapat 35 sampel yang memenuhi standar untuk menjadi sampel. Perusahaan asuransi yang mengalami financial distress ditentukan berdasarkan metode Altman Z-score non manufaktur. Regresi linier berganda menjadi teknik penelitian yang dipilih oleh peneliti. Riset ini menghasilkan kesimpulan bahwa hanya variabel ukuran perusahaan (UK) yang ada pengaruh terhadap perkiraan financial distress. Variabel bebas mampu memaparkan variabel financial distress sebanyak 32,8%, kekurangan sebanyak 67,2% digambarkan variabel yang tidak dapat diperhitungkan di dalam analisis penelitian ini.

scholarly journals Public Accounting Firm Switching: Empirical Study on Manufacturing Companies Listed in Indonesia Stock Exchange

2020 ◽  
pp. 27-42
Author(s):  
Mukhtaruddin . ◽  
Yulia Saftiana ◽  
Tiara .
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Sample Selection ◽  
Manufacturing Companies ◽  
Public Accounting ◽  
Significance Level ◽  
Accounting Firm ◽  
Purposive Sampling ◽  
Research Period

Public Accounting Firm (PAF) switching in companies follows the regulation number 17/PMK.01/2008 article 3 of the Minister of Finance Republik Indonesia, which is in a period of 6 years or voluntarily. The purpose of this research is to analyze the effect of the size of PAF, financial distress (FD), firm size of client (FSC), client management switching (CMS), audit comitee switching (ACS) to PAF switching voluntarily on manufacturing companies listed in Indonesia Stock Exchange (IDX) in 2010-2014. The population in this research are manufacturing companies listed in IDX in 2010-2014. The sample in this study were taken by purposive sampling method and 21 companies are selected as the sample by criteria. These variables are then tested using logistic regression at a significance level of 5 percent. The result showed that the size of PAF, FD, FSC, CMS does not affect PAF Switching and ACS has affect PAF Switching. The limitations of this research, the variables used only five independent variables, the research period only five years, and sample selection is only based on a purposive sampling.

scholarly journals Analisis Rasio Keuangan untuk Memprediksi Kondisi Financial Distress (Studi Empiris pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2014-2015)

2018 ◽  
Vol 9 (2) ◽  
Author(s):  
Verani Carolina ◽  
Elyzabet Indrawati Marpaung ◽  
Derry Pratama
Keyword(s):  
Logistic Regression ◽  
Cash Flow ◽  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Operating Cash Flow

AbstractThis research aims to examine wether liquidity, profitability, leverage, and operating cash flow can be used as financial distress predictor. Manufacturing companies which were listed in the Indonesia Stock Exchange during the period 2014-2015, were used as samples. This research used purposive sampling method and 96 companies can be used as samples according to the criteria. Data was analyzed using logistic regression. The result showed that only profitability can be used as financial distress predictor, while liquidity, leverage, and operating cash flow cannot.Keywords: Financial Distress, Liquidity, Leverage, Operating Cash Flow, and Profitability

scholarly journals Application of Altman Modified Z-Score to Predict Financial Distress in the Indonesian Telecommunications Industry

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Rianti Fifriani ◽  
Perdana Wahyu Santosa
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Financial Statements ◽  
Telecommunications Industry ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Purposive Sampling ◽  
Modification Method ◽  
The Future ◽  
The Right

Bankruptcy prediction is needed to assess the prospect of going concern and sustainability of the corporations in the future. This study aims to predict the bankruptcy of corporates with the Altman Z-Score Modification model in the telecommunications industry in Indonesia. The data used are the financial statements of the telecommunications industry that listing on the Indonesia Stock Exchange for the period 2011-2015. Samples for this study uses purposive sampling according to company criteria. The results of the study using the Altman Z-score modification method found two potentially bankrupt companies, namely Bakrie Telecom, Tbk, and Smartfren, Tbk. While Indosat, Tbk, and XL Axiata, Tbk have high financial distress potential due to liquidity and profitability problems that tend to weaken. Meanwhile, Telkom Indonesia, Tbk, and Infracom Inovisi financial concessions are relatively healthy and have the right business expectations

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