scholarly journals Financial accounting manipulations and bankruptcy likelihood: A study of Nordic banks

2021 ◽  
Author(s):  
Shab Hundal ◽  
Anne Eskola
Keyword(s):  
Financial Distress ◽  
Secondary Data ◽  
Financial Accounting ◽  
Financial Health ◽  
Z Score ◽  
Broad Perspective ◽  
Management Measures ◽  
Score Model ◽  
High Level ◽  
The Impact

The phenomena of accounting manipulations and bankruptcy likelihood have always been a topic of interest among researchers. The key objective of the current study is to examine the impact of fraudulent accounting practices on the likelihood of bankruptcy, and the performance of firms. Beneish M-score model and Jones model have been applied to evaluate earnings quality, whereas the Altman Z-score model has been used to analyze the level of financial distress. Based on the analysis of secondary data collected from 33 Nordic banks for the period 2011–2018, the findings disclose that Z-score of most of the sample banks has been found to be relatively high thus representing their high level of financial health. The study does not rule out potential earnings management measures applied by the sample banks. Furthermore, earnings manipulations increase the bankruptcy likelihood, especially in case of larger banks. The financial data manipulation practices artificially enhance the financial performance of banks, however, in a broad perspective; such manipulations can trigger potential financial distress

scholarly journals Impak Struktur Modal, Struktur Kepemilikkan dan Karakteristik Perusahaan Terhadap Financial Distress dan Financial Health Perusahaan

2021 ◽  
Vol 23 (1) ◽  
pp. 135-149
Author(s):  
Ratnawati Raflis ◽  
Enny Arita
Keyword(s):  
Logistic Regression ◽  
Capital Structure ◽  
Financial Performance ◽  
Ownership Structure ◽  
Financial Distress ◽  
Stock Exchange ◽  
Financial Health ◽  
Z Score ◽  
Score Model ◽  
The Impact

Corona Virus Pandemic affected the world economy, including Indonesia. Many companies are out of business due to this pandemic.With the background of the conditions mentioned above, the researchers are interested in examining more deeply the variables that determine the level of financial distress and at the same time the financial health of the company. Furthermore, the variables that are used as independent variables and are thought to affect the company's financial performance are capital structure, ownership structure and company characteristics. In assessing financial performance, the Altman Z Score model is used and then to see the impact of the variables that are thought to affect the company's financial performance.The research model used is the Logistic Regression equation.Population and sample are taken from financial data of companies listed on the Indonesia Stock Exchange. Data is taken manually on the website: www.idx.co.id. And the period in this study was taken from 2015-2019. The test results prove that the Capital Structure and Ownership Structure are factors that have a significant influence on the Company's Financial Distress and Financial Health. ABSTRAK Pandemi Virus Corona berimbas pada perekonomian dunia tidak terkecuali pada perekonomian di Indonesia. Banyak perusahaan yang gulung tikar akibat pandemik ini. Dengan berlatar belakang kondisi tersebut diatas maka peneliti tertarik untuk mengkaji lebih dalam menentukkan variabel yang sangat menentukan tingkat Financial Distress dan sekaligus financial health (Kinerja Keuangan) perusahaan. Selanjutnya variabel yang di jadikan variabel independen dan di duga berpengaruh terhadap kinerja keuangan perusahaan adalah struktur modal, struktur kepemilikkan dan Kharakteristik Perusahaan. Dalam menilai kinerja keuangan maka digunakan model Altman Z Score dan selanjutnya untuk melihat dampak variabel yang di duga berpengaruh terhadap kinerja keuangan perusahaan. Model penelitian yang di pakai adalah persamaan Logistic Regression. Model ini kemudian akan di lakukan uji T , Uji F dan Uji Asumsi Klasik sebelum di gunakan dalam melihat signifikasi variabel independen terhadap variabel dependen. Populasi dan sampel diambil dari data keuangan perusahaan yang terdaftar di Bursa Efek Indonesia. Data diambil secara manual di website: www.idx.co.id. Periode pada penelitian ini diambilkan data dari tahun 2015-2019. Hasil Pengujian membuktikan bahwa Struktur Modal dan Struktur Kepemilikkan adalah faktor yang sangat berpengaruh signifikan terhadap Financial Distress dan Financial Health Perusahaan.

scholarly journals ANALISIS PENILAIAN FINANCIAL DISTRESS MENGGUNAKAN MODEL ALTMAN (Z-SCORE) PADA PERUSAHAAN FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2013-2015

2017 ◽  
Vol 5 (1) ◽  
pp. 55
Author(s):  
Sri Yati ◽  
Katarina Intan Afni Patunrui
Keyword(s):  
Financial Distress ◽  
Sampling Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Pharmaceutical Companies ◽  
Z Score ◽  
Financial Reports ◽  
Book Value ◽  
Total Debt ◽  
Score Model

This study aims to observe the financial distress assessment for pharmaceutical companies listed on the Indonesia Stock Exchange using the Altman Z-Score model. The sample is selected using purposive sampling method. Ten pharmaceutical companies were selected with the criteria listed in the Indonesia Stock Exchange (BEI) and regularly published financial reports in 2013 until 2015. Secondary data was derived from www.idx.co.id site.  The results indicate that the Altman Z-Score model can be implemented in detecting the possibility of financial distress in the pharmaceutical company. Working capital to total assets and book value equity to book value of total debt are two determinant variables which is determining the decrease in Z-score value in this research.  One from ten companies have the lowest value of the Z-Score and experiencing financial distress. For two years, the company is in distress zones but in the third year, the company is managed to increase the value of the company and included in the gray zones. This company must continue to strive in order to stabilize the company's financial and asset utilization to obtain maximum profit, and until it was declared as a healthy company.

scholarly journals Analysis of Accuracy Level of Altman Z-Score Model and Springate Model in Measuring the Potential of Financial Distress in Plantations Industries

2019 ◽  
pp. 16-25
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Secondary Data ◽  
Financial Data ◽  
Z Score ◽  
Financial Difficulties ◽  
Accuracy Level ◽  
Score Model

This study aimed to analyze the level of bankruptcy using Altman Z-Score model of modifications and models Springate, the Plantations Company period 2014-2017. The data used in this research is secondary data, financial data Plantations Company taken from the site www.idx.co.id. Based on the results of this study show that the model of the Altman Z-Score modification Plantations Industries was having financial difficulties which would be potentially bankrupt, it can be seen from the Z-Score of less than 1.1 in the period 2014-2017 and no different from using a model that generates value Springate S-Score <0.862 means that the financial performance Plantations company are experiencing financial difficulties during the 2014-2017 period and potentially going bankrupt.

scholarly journals Metode Altman Z-Skor Dalam Memprediksi Kepailitan Di Semua Koperasi Kredit Di Kabupaten Maumere

2020 ◽  
Vol 21 (01) ◽  
Author(s):  
Yoseph Darius Purnama Rangga ◽  
Henrikus Herdi ◽  
Wilhelmina Mitan
Keyword(s):  
Secondary Data ◽  
Credit Union ◽  
Bankruptcy Prediction ◽  
Regional Government ◽  
Financial Health ◽  
Z Score ◽  
Analytical Technique ◽  
Gray Area ◽  
Credit Cooperatives ◽  
Score Model

Abstract Problems that often occur in a cooperative are usually caused by financial problems. To measure the level of financial health cooperatives can be used analysis of financial ratios using the Altman Z-Score model. This research aims to predict bankruptcy in the credit Union of the regional government Puskopdit, Maumere, using the Altman Z-Score model. The samples in this study were credit cooperatives of the main district Puskopdit in 2015-2017 consisting of 16 cooperatives. The data source used is the secondary data in the form of cooperative financial statements. The analytical technique used is the Altman Z-Score Bankruptcy Prediction model. The results showed that there is a cooperative that has been in the healthy category during the year 2015-2017, namely Torch Mas Cooperative, Tuke Jung, Ortal, Plantation, star East, and Serba Te. In the years 2015 and 2016 Kelubagolit cooperatives entered in the category of gray area, but in the year 2017 the cooperative is in a healthy category. In addition, there are cooperatives during the year 2015-2017 in the category of gray area namely Sube Huter Cooperative, Tuke Ler, Hiro Heling, Bina Pertiwi, and Surya Sakti. The cooperatives of San Dominggo in 2015 and 2016 were in the category of bankruptcy, but the following year entered the gray area category. The cooperative in the category of bankruptcy from 2015-2017 is the youth cooperative Hokeng and Ankara. In the year 2015 Plelu Meluk Cooperative entered in the category of gray area, the cooperative's performance continued to decline and in the year 2016 and 2017 the cooperative was entered in the category of bankruptcy. In the years 2018, Hokeng Youth Cooperative experienced an amalgamation with Mitan Gitan Cooperative. This indicates that the accuracy level of the Altman Z-Score model is high..

scholarly journals COMPARISON OF ALTMAN'S Z - SCORE MODEL AND ALTMAN'S Z''- SCORE MODEL ON THE SAMPLE OF COMPANIES WHOSE SHARES ARE INCLUDED IN THE REPUBLIC OF SRPSKA STOCK EXCHANGE INDEX

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Goran Radivojac ◽  
Aleksandra Krčmar ◽  
Boško Mekinjić
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Emerging Market ◽  
Manufacturing Companies ◽  
Financial Health ◽  
Z Score ◽  
Insolvency Risk ◽  
Privately Held Firms ◽  
The Republic ◽  
Score Model

In this paper, we analysed companies whose shares are included in the Republic of Srpska Stock Exchange Index (BIRS), using Altman's Z-Score model and Altman's Z"-Score model, in order to determine their insolvency risk. Altman's Z-Score is a combination of five weighted financial ratios used to estimate the likelihood of financial distress, and possible bankruptcy of the observed companies. It is used widely by auditors, accountants, commercial banks, and other organizations to assess the financial health of their clients. Altman also developed revised versions of the model to assess the financial health of privately-held firms and non-manufacturing companies, as well as companies in emerging markets - Altman's Z'- Score model and Altman's Z" - Score model. The results of our research on a sample of 14 companies whose shares are included in BIRS show that, although it is an emerging market, Altman's Z-Score model gives better results that indicate much-needed caution when drawing conclusions about the observed companies.

scholarly journals Prediction of Financial Distress of Non-Bank Financial Institutions of Bangladesh using Altman’s Z Score Model

2016 ◽  
Vol 11 (12) ◽  
pp. 261 ◽  
Author(s):  
Tania Hamid ◽  
Farzana Akter ◽  
Naharin Binte Rab
Keyword(s):  
Economic Development ◽  
Financial Institutions ◽  
Financial Distress ◽  
Vital Role ◽  
Financial Health ◽  
Z Score ◽  
Publicly Traded ◽  
Regulatory Authorities ◽  
Minimum Score ◽  
Score Model

The Non-Bank Financial Institutions (NBFIs) comprise a rapidly growing segment of the financial system in Bangladesh. They are gaining increased popularity in recent times. They play a vital role in the economy. This study attempts to predict the financial health of 15 publicly traded NBFIsof Bangladesh over five years ranging from 2011 to 2015 using Altman’s Z Score Model (1965). The results show that most of the sampled NBFIs are in ‘Distress’ zone, Some of sample NBFIs are nationally and internationally acclaimed for their outstanding performances and contributions to the industrial as well as economic development of the country, but they fail to attain the minimum score. Most of the companies are lying on the bankruptcy level. Hence, the study suggests the stakeholders, including regulatory authorities and researchers to be more watchful of the operations of NBFIs.

scholarly journals Analisis Kebangkrutan dengan Model Altman Z-Score pada Perusahaan Sektor Industri Dasar dan Kimia di Bei Periode 2013-2014

2017 ◽  
Vol 26 (01) ◽  
pp. 136-163
Author(s):  
Suci Kurniawati
Keyword(s):  
Financial Distress ◽  
Quantitative Method ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Z Score ◽  
Manufacturing Company ◽  
Score Model ◽  
Score Index

 The purpose of this study is to analyze the company's financial distress on basis industry and chemical sectors as many as 57 companies using the ALTMAN Z-Score model in 2013-2014. The data which used was secondary data, such as Financial Statements of manufacturing company publication issued by Indonesian Stock Exchange (BEI) and obtained by downloading the website: www.idx.com. This study uses descriptive quantitative method. The finding of Z-Score index in basis industry and chemical sector in 2013 is occupied by PT. Intan Wijaya Internasional Tbk on chemical subsector and 2014 is occupied by PT. Alakasa Industrindo Tbk on metal subsector and others, with the first highest rank and healthy condition, whereas the last and lowest rank on wood and processing sector  in 2013-2014 is PT. SLJ Global Tbk, with having financial distress condition. The findings of this study are not consistent or even  in accordance with the reality which shows that the Altman method can not be used as a tool to indicate a tendency towards company’s financial distress.

scholarly journals BANKRUPTCY PREDICTION ANALYSIS USING THE ZMIJEWSKI MODEL (X-SCORE) AND THE ALTMAN MODEL (Z-SCORE)

2020 ◽  
Vol 1 (5) ◽  
pp. 794-806
Author(s):  
Viciwati Viciwati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Secondary Data ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Accuracy Rate ◽  
Financial Reports ◽  
Normality Test ◽  
The Difference ◽  
Score Model

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%.

Altman Z-Score Model Effects of Non-Performing Assets (NPAs) in Public and Private Bank In India

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 1431-1437
Author(s):  
Krishna Murari Chaturvedi ◽  
Mohit Mehta
Keyword(s):  
Private Sector ◽  
Banking Sector ◽  
Emerging Market ◽  
Secondary Data ◽  
Market Model ◽  
Financial Health ◽  
Z Score ◽  
Private Bank ◽  
Public And Private ◽  
Score Model

The study aims to measure the effectiveness of Altman's Z-score model using Non-Performing Assets (NPA) as a level fixture index. Paper examines if Altman's Z-score model captures the decline in the financial health of the banks caused by the NPAs. The sample size is taken in selected two public (CBI & PNB) & two private sector banks (ICICI & HDFC). The study is based on secondary data & data will be collected for the last five years 2014 to 2018. The findings of this paper suggest that, due to the uniqueness of the Indian banking sector during the NPA crisis, the 'Emerging Market Model' does not produce any significantly better results. Therefore, there is a future scope to develop a tailor-made model suitable to the Indian Banking sector.

scholarly journals PENERAPAN MODEL ALTMAN Z-SCORE DALAM MENGUKUR POTENSI KEBANGKRUTAN (STUDI KASUS PADA PERUSAHAAN PERBANKAN BUMN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2018 & 2019)

2021 ◽  
Vol 7 (1) ◽  
pp. 148-158
Author(s):  
Rofinus Leki Rofinus Leki
Keyword(s):  
Financial Performance ◽  
Performance Improvement ◽  
Financial Distress ◽  
Safe Zone ◽  
The Other ◽  
Financial Health ◽  
Z Score ◽  
Gray Area ◽  
Sustainability Research ◽  
Score Model

Abstract: This   research   is   a   sustainability   research,   which   uses   the   same   non- manufacturing Altman Z-Score model, with the aim of re-examining the financial health sustainability of the four BUMN banks that the author has studied in 2017 and in 2019. The four BUMN banks are Bank Negara Indonesia (Persero) Tbk PT, Bank Rakyat Indonesia (Persero) Tbk. PT, Bank Tabungan Negara (Persero) Tbk PT,  Bank  Mandiri  (Persero)  Tbk  PT.  The  results  showed  that  PT.  Bank  BTN (Persero) Tbk has a Z-score that has improved in 2018 and 2019, compared to previous years, namely in 2014, 2015, 2016, and 2017. Currently PT. Bank BTN (Persero) Tbk., has moved from the potential financial distress into a "gray area" (improving). Meanwhile, the other three BUMN banks are consistently in the gray area category with a Z-score above 1.2 but below a Z-score of 2.9. The results of this study also show that there is a significant financial performance improvement in every BUMN banking company, but has decreased somewhat in 2019  at Bank BNI (Persero), Tbk. PT and Bank BRI (Persero) Tbk.PT. Be expected is   that   with   the   continuous   and   consistent   improvement   in   financial performance, the financial health position of BUMN Banking (Persero) Tbk can immediately move to the "safe zone".   Keywords: Financial Health of BUMN Banks, Altman Z-Score Model

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