scholarly journals Potensi Financial Distress Bank Umum Syariah di Indonesia

2020 ◽  
Vol 5 (3) ◽  
pp. 156
Author(s):  
Nelmida Nelmida
Keyword(s):  
Financial Distress ◽  
Safe Zone ◽  
Grey Zone ◽  
Z Score ◽  
Purposive Sampling

Penelitian ini bertujuan untuk mengidentifikasikan potensi financial distress Bank Umum Syariah di Indonesia. Populasi penelitian ini adalah seluruh Bank Umum Syariah yang terdaftar pada Otoritas Jasa Keuangan (OJK) kecuali Bank Pembangunan Daerah Syariah. Teknik sampling yang digunakan adalah dengan teknik purposive sampling dengan jumlah sampel 11 Bank mum Syariah dengan periode penelitian dari tahun 2015 sampai 2018. Model analisis yang digunakan untuk menditeksi potensi financial distress adalah model Z Score Altman yang dimodeifikasi untuk perusahaan non manufacture yang tidak terdaftar pada pasar modal. Berdasarkan hasil analisis data diperoleh 10 (sepuluh) Bank Umum Syariah yaitu PT. Bank BNI Syariah, PT. Bank Syariah Mandiri, PT. Bank Mega Syariah, PT. Bank Maybank Syariah Indonesia, PT. Bank Victoria Syariah, PT. Bank BRI Syariah, TBK, PT. Bank Panin Dubai Syariah, TBK, PT. Bank Syariah Bukopin, PT. Bank BCA Syariah, dan PT. Bank Tabungan Pensiunan Nasional Syariah dengan kondisi sehat atau berada pada area Safe Zone, sedangkan 1(satu) Bank Umum Syariah PT. Bank Muamalat Indonesia Tbk dengan kondisi kurang sehat atau berada pada area Grey Zone

scholarly journals The Application of Altman’s Z-Score Model in Predicting Bankruptcy: Evidence from the Trading Sector in Sri Lanka

2015 ◽  
Vol 10 (12) ◽  
pp. 269 ◽  
Author(s):  
Aloy Niresh J. ◽  
Pratheepan T.
Keyword(s):  
Sri Lanka ◽  
Early Warning ◽  
Financial Distress ◽  
Safe Zone ◽  
Grey Zone ◽  
Z Score ◽  
Financial Reports ◽  
Financial Position ◽  
Score Model

Prediction of bankruptcy is crucial as the early warning may change entire complications and may avoid the high cost that is associated with distress. The main purpose of this study is to examine the likelihood of bankruptcy of the firms belonging to the Trading Sector in Sri Lanka. The research used data from the financial reports of seven trading companies for a period of the last five years from 2010 to 2014. Altman’s original (1968) bankruptcy model has been applied in order to classify the companies in various levels of financial position namely safe, grey and distress. Findings reveal that 71% of the companies belonging to the Trading Sector were in financial distress and the rest of whole 29% were in the grey zone. The fact that none of the companies lie under the safe zone highlights that as a whole the sector is in a menace.

scholarly journals PREDICTION OF FINANCIAL DISTRESS IN THE AUTOMOTIVE COMPONENT INDUSTRY: AN APPLICATION OF ALTMAN, SPRINGATE, OHLSON, AND ZMIJEWSKI MODELS

2020 ◽  
Vol 1 (4) ◽  
pp. 606-618
Author(s):  
Hendra Pratama ◽  
Bambang Mulyana
Keyword(s):  
Panel Data ◽  
Financial Distress ◽  
Sampling Technique ◽  
Safe Zone ◽  
Financial Ratios ◽  
Grey Zone ◽  
Z Score ◽  
Automotive Component ◽  
Automotive Component Industry ◽  
Early Warnings

This study aims to identify and examine the condition of financial distress in the automotive component industry issuers in the period 2014 ~ 2018, using the Altman Z-score, Springate S-score, Ohlson O-score, and Zmijewski X-score against financial ratios as an analysis form of company management to predict the early warnings of company bankruptcy. This study uses quantitative, secondary, and panel data; while the sample uses a non-probability boring sampling technique of 11 companies. The results showed that these four models can predict financial distress by identifying each model. Altman’s model found 8 distress zone points, 16 grey zone points, and 31 safe zone points. Springate’s model found 37 points in the distress zone, and 18 points in the safe zone. Ohlson's model found 3 points in the distress zone, and 52 points in the safe zone. Zmijewski's model found only 1 point in the distress zone

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 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 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 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

scholarly journals Perbandingan Financial Distress Bank Syariah Di Indonesia Dan Bank Islam Di Malaysia Sebelum Dan Sesudah Krisis Global 2008 Menggunakan Model Altman ZScore

2017 ◽  
Vol 3 (11) ◽  
pp. 900
Author(s):  
Siti Zulaikah ◽  
Nisful Laila
Keyword(s):  
Financial Distress ◽  
Quantitative Method ◽  
T Test ◽  
Islamic Banks ◽  
Z Score ◽  
Global Crisis ◽  
Significance Level ◽  
Purposive Sampling ◽  
Significant Difference ◽  
Before And After

This study aims to find out the comparison between the prediction of financial distress of Islamic Banks in Indonesia and that of Islamic Banks in Malaysia before and after the global crisis 2008 using quantitative method and purposive sampling. The prediction of financial distress was done by using Altman Z-score measuring. The technique used to examine the financial distress is Mann-Whitney, and for those after the crisis were examined using Independent sample T-test. The result of this research shows that there is a significant difference between Islamic banks in Indonesia and those in Malaysia either before or after the global crisis 2008 with 5% significance level. The Islamic banks in Indonesia are in secure zone either before or after the crisis. However, the Islamic banks in Malaysia are in grey areawhich cannot be made sure of the bankruptcy either before or after the crisis.

scholarly journals LEVERAGE INDUCED FINANCIAL DISTRESS OF MANUFACTURING FIRMS IN BANGLADESH: A COMPARISON BETWEEN LISTED MNCS AND DOMESTIC FIRMS BY APPLYING ALTMAN’S Z SCORE MODEL

2021 ◽  
Vol 5 (2) ◽  
pp. 28-43
Author(s):  
Syed Mohammad Khaled Rahman ◽  
Md. Khairul Islam ◽  
Md. Mofazzal Hossain
Keyword(s):  
Financial Distress ◽  
Business Performance ◽  
Secondary Data ◽  
Jel Classification ◽  
Grey Zone ◽  
Z Score ◽  
Industrial Sectors ◽  
Total Debt ◽  
Z Scores ◽  
Domestic Companies

Financial distress arises from excessive debt capital. The purpose of the study was to determine Altman's Z score and analyze as well as compare the effect of debt on Z scores of listed MNCs & domestic companies of Bangladesh over 24 years (1996-2019). The study was based on secondary data. Seven local companies and seven MNCs were selected as a sample from six manufacturing industrial sectors. It was found that on average one local firm was in the grey zone and the rest 13 firms were in the safe zone (Z scores>2.99). MNCs’ Z scores were significantly higher than that of domestic companies. The grand mean of the Z score of MNCs was 5.398 while that of domestic companies was 4.155. In the case of domestic companies, Z score changes by 0.01 or 0.24% for a 1% change of total debt in opposite direction. MNCs’ Z score decreases by 0.005 or 0.073% for a 1% increase of total debt. Domestic companies should increase Z score by redesigning the capital structure and improving basic earning power. The study has practical implications for corporate managers, policymakers, investors, and government because future strategy, policy, and business performance depend on the zone in which the firms are situated. JEL Classification Codes: G30, G32, G39.  

scholarly journals Leverage dan Profitabilitas dalam Memprediksi Financial Distress Perusahaan Pertambangan Periode 2016-2018

2020 ◽  
Vol 10 (1) ◽  
pp. 151
Author(s):  
Axel Giovanni ◽  
Devi Wahyu Utami ◽  
Thesya Yuzevin
Keyword(s):  
Financial Distress ◽  
Z Score ◽  
Purposive Sampling

Financial distress merupakan suatu kondisi di mana sebuah perusahaan mengalami kesulitan keuangan. Adanya fenomena perusahaan yang ter-delisting dari Bursa Efek Indonesia menjadi dasar untuk mengkaji ulang model prediksi kesulitan keuangan yang tepat. Penelitian ini bertujuan untuk memberikan bukti secara empiris mengenai pengaruh leverage dan profitabilitas dalam memprediksi financial distress. Sampel penelitian  diperoleh dengan menggunakan metode purposive sampling. Sampel penelitian yang memenuhi kriteria sebanyak 40 perusahaan sektor pertambangan yang terdaftar di Bursa Efek Indonesia (BEI) periode 2016-2018. Dalam penelitian ini, pengelompokkan perusahaan yang mengalami financial distress menggunakan model Altman Z-score. Pengujian hipotesis dalam penelitian ini menggunakan regresi logistik. Berdasarkan hasil analisis regresi logistik dengan tingkat signifikansi 5%, hasil penelitian ini menunjukkan bahwa leverage memiliki pengaruh negatif dan signifikan terhadap prediksi financial distress serta profitabilitas memiliki pengaruh positif dan signifikan terhadap prediksi financial distress. Penelitian selanjutnya diharapkan mempertimbangkan aspek makroekonomi dalam memprediksi kondisi financial distress perusahaan.

scholarly journals PREDIKSI FINANCIAL DISTRESS MELALUI ALTMAN Z-SCORE

2021 ◽  
Vol 5 (1) ◽  
pp. 53-67
Author(s):  
Endah Tri Wahyuningtyas ◽  
Dian Permata Sari
Keyword(s):  
Financial Distress ◽  
Z Score ◽  
Purposive Sampling

Perkembangan ekonomi yang tidak stabil memberikan ancaman bagi perusahaan mengalami financial distress bahkan kebangkrutan. Penelitian ini bertujuan untuk mengetahui dan menganalisis prediksi kebangkrutan perusahaan-perusahaan yang terdaftar dalam Bursa Efek Indonesia. Model yang digunakan dalam penelitian ini yaitu rasio-rasio Altman Z-Score sebagai alat untuk melihat seberapa besar potensi kebangkrutan perusahaan. Data yang digunakan dalam penelitian ini merupakan data sekunder berupa laporan keuangan perusahaan yang terdaftar di Bursa Efek Indonesia. Sampel yang digunakan sebanyak 42 perusahaan sub sektor perdagangan besar dan eceran yang terdaftar di BEI periode tahun 2012 sampai dengan 2016 dengan teknik pengambilan sampel yaitu purposive sampling. Hasil penelitian ini menujukkan bahwa selama periode pengamatan, perusahaan perdagangan besar yang memiliki kecenderungan mengalami kondisi financial distress adalah PT. Bintang Mitra Semestaraya, Tbk (BMSR), PT. Kobexindo Tractors, Tbk (KOBX), PT. Perdana Bangun Pusaka, Tbk (KONI) PT. Lautan Luas, Tbk (LTLS) sedangkan pada perusahaan perdagangan eceran tidak ada perusahaan yang berpotensi mengalami kondisi financial distress.

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