Pandemi Covid-19 dalam Penyajian Pelaporan Keuangan dan Keberlangsungan Usaha melalui Prediksi Kebangkrutan

The main purpose of this study is to assess and analyze the business continuity (going concern) of companies before and during the Covid-19 pandemic. The sample of this research is 45 property sector companies listed on the Indonesia Stock Exchange (BEI) for the period 2019-2020 and meet predetermined criteria. This study uses the Altman Z-Score bankruptcy prediction model to assess the business continuity of the sample companies. This research proves that there is indeed an influence from the global Covid-19 pandemic. Companies that are experiencing financial problems and have a strong potential for bankruptcy increased from 2% at the end of 2019 to 51% at the end of June 2020. DOI: https://doi.org/10.26905/afr.v3i2.5451

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Pandemi Covid-19 dalam Penyajian Pelaporan Keuangan Perusahaan dan Keberlangsungan Usaha melalui Prediksi Kebangkrutan

AFRE (Accounting and Financial Review) ◽

10.26905/afr.v3i2.5058 ◽

2020 ◽

Vol 3 (2) ◽

Author(s):

Shinta Budi Astuti

Keyword(s):

Prediction Model ◽

Stock Exchange ◽

Bankruptcy Prediction ◽

Business Continuity ◽

Z Score ◽

Financial Problems ◽

Going Concern ◽

Strong Potential

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Pengaruh Prediksi Kebangkrutan Model Altman Z-Score, Reputasi Auditor dan Opinion Shopping terhadap Opini Audit Going Concern

Owner ◽

10.33395/owner.v4i1.174 ◽

2020 ◽

Vol 4 (1) ◽

pp. 343-355

Author(s):

Muhammad Yunus ◽

Calen Calen ◽

Sarida Sirait

Keyword(s):

Stock Exchange ◽

Sampling Technique ◽

Bankruptcy Prediction ◽

Manufacturing Companies ◽

Z Score ◽

Audit Opinion ◽

Going Concern ◽

Opinion Shopping ◽

Score Model ◽

Auditor Reputation

This study aims to determine the effect of the bankruptcy prediction of the Altman z-score model, auditor reputation and opinion shopping on going concern audit opinion in manufacturing companies listed on the Indonesia Stock Exchange in 2015-2019. This research is a causal associative research with a quantitative approach. The sample in this study were 25 manufacturing companies listed on the Indonesia Stock Exchange which were determined using purposive sampling technique. Observations in this study were carried out throughout the period 2015 to 2019 so that the number of observations was 125 data. The type of data used in this study is secondary data. While the data analysis method used in this research is panel data regression analysis with statistical data processing software, namely STATA. Based on the results obtained in this study, it can be seen that the prediction of bankruptcy based on the Altman z-score model has no significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. Auditor reputation is proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange. And opinion shopping is also proven to have a negative and significant effect on going concern audit opinion on manufacturing companies listed on the Indonesia Stock Exchange.

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Pengaruh Model Prediksi Kebangkrutan, Leverage, Audit Lag, Dan Ukuran Perusahaan Terhadap Opini Audit Going Concern

Jurnal ULTIMA Accounting ◽

10.31937/akuntansi.v5i1.142 ◽

2013 ◽

Vol 5 (1) ◽

pp. 55-76

Author(s):

Anastasia Paula Salean

Keyword(s):

Prediction Model ◽

Stock Exchange ◽

Manufacturing Sector ◽

Secondary Data ◽

Bankruptcy Prediction ◽

Annual Reports ◽

Company Size ◽

Financial Reports ◽

Audit Opinion ◽

Going Concern

The objective of this research is to examine the effect of bankruptcy prediction model, leverage, audit lag, and company size towards obtaining a going concern audit opinion. The samples in this study are 11 companies listed in Indonesian Stock Exchange being classified as manufacturing sector in the year 2008-2011. The sample in this study determined based on purposive sampling. Data used in this study is a secondary data such as annual reports or financial reports. The results from this study are (1) bankruptcy prediction model having no significant impact on obtaining a going concern audit opinion, (2) leverage having a significant impact on obtaining a going concern audit opinion, (3) audit lag leverage having a significant impact on obtaining a going concern audit opinion, (4) company size having no significant impact on obtaining a going concern audit opinion. Keywords: obtaining a going concern audit opinion, bankruptcy prediction model,leverage, audit lag, company size

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OPINI AUDIT GOING CONCERN: KAJIAN BERDASARKAN MODEL PREDIKSI KEBANGKRUTAN, PERTUMBUHAN PERUSAHAAN, LEVERAGE DAN REPUTASI KANTOR AKUNTAN PUBLIK

Media Riset Akuntansi Auditing & Informasi ◽

10.25105/mraai.v13i1.1738 ◽

2017 ◽

Vol 13 (1) ◽

pp. 79

Author(s):

Farid Muhamadiyah

Keyword(s):

Prediction Model ◽

Prediction Models ◽

Stock Exchange ◽

Binary Logistic Regression ◽

Financial Statements ◽

Bankruptcy Prediction ◽

Binary Logistic Regression Analysis ◽

Manufacturing Companies ◽

Audit Opinion ◽

Going Concern

Going-concern audit opinion is the auditor’s opinion regarding the ability of the entity to maintain the viability of their business is one of the important things to consider users of financial statements to make decisions especially berinvestas decisions. This study aimed to examine the effect of bankruptcy prediction models (Altman revised model), growth companies (earnings), leverage and reputation of the public accounting firm of the admission trends going concern audit opinion. The sample used in this study consisted of 32 financial statements of listed manufacturing companies in Indonesia Stock Exchange (IDX) during the period 2007-2010. The sample was selected by using the purposive sampling method. In this research, data analysis using SPSS by binary logistic regression analysis to test the hypothesis. From the analysis in this study suggests that the use of bankruptcy prediction model (Altman revised model) positive effect on revenue trends going concern audit opinion, while the company’s growth, leverage and reputable CPA firm negatively affect revenue trends going concern audit opinion. Keywords : Bankruptcy Prediction Model (Altman revised model), Corporate Growth (income), Leverage, Reputation Public Accountant and Going Concern Audit Opinion.

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ANALISIS ALTMAN Z-SCORE, GROVER SCORE, SPRINGATE, DAN ZMIJEWSKI SEBAGAI SIGNALING FINANCIAL DISTRESS (Studi Empiris Industri Barang-Barang Konsumsi di Indonesia)

Accounting and Management Journal ◽

10.33086/amj.v1i1.70 ◽

2018 ◽

Vol 1 (1) ◽

Author(s):

Niken Savitri Primasari

Keyword(s):

Prediction Model ◽

Financial Distress ◽

Stock Exchange ◽

Financial Statements ◽

Bankruptcy Prediction ◽

T Test ◽

Z Score ◽

F Test ◽

Company Sector ◽

Altman Model

This study purpose to determine whether there are differences among Altman model, Springate model and Zmijewski model to predict financial distress, and to find out which the Financial Distress prediction model has the most excellent implementation in Indonesia manufacture industry. Comparison of those six models were made by analyzing the accuracy of each model, by using the real condition of a company’s net income. The data used in the form of annual financial statements published by the company on the Indonesia Stock Exchange website. The sample in this study consisted of 116 financial data from 29 companies in Consumer Goods Industry. All companies are listed in Indonesia Stock Exchange Market at period 2012 - 2015. The company does not conclude yet, whether there is a prediction model that best suit the measurement. This cause by: (1) every model have its own superiority and weakness, (2) the company sample characteristic differences (company sector, company size) also influence the choice of prediction model being used, (3) the company financial ratio as independent variable used in bankruptcy prediction. Since the financial statements are reflecting the company’s financial ability of the signaling, the researchers limited the industry with the highest value of EPS and PER. This is done to avoid confounders in the proof of the accuracy of the model, Springate model, Ohlson model and Zmijewski model to predict financial distress. The data obtained from the Annual Financial Statements, IDX Fact Book and the Indonesian Capital Market Directory. In this study will be used t test, additional testing is done to see the feasibility of the model by observing the F test results and test the coefficient of determination (R2), R2 value used to examine differences among Altman, Grover, Springate and Zmijewski models in predicting financial distress. The analytical tool used is the One Way ANOVA with level of significance 5 %. The results from this research showed that any prediction model used in this study can be used to predict Financial Distress, particularly the Altman Z-Scores, which have the greater R2 analysis. Only Grover G-Score models have insignificant value t test and F-test is greater than the probability cannot be used to predict corporate Financial Distress. The results also showed that the most accurate model is the model Altman Z-Score. At the end of the study was to try predict 29 firms sample used listed on the Stock Exchange with Altman model. Predicted results showed that five companies are expected to experience Financial Distress in the future.

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Analisis Perbandingan Model Prediksi Kebangkrutan Altman Z-Score dan Zmijewski di BEI Periode 2011 - 2015

e-Journal Ekonomi Bisnis dan Akuntansi ◽

10.19184/ejeba.v6i2.11165 ◽

2019 ◽

Vol 6 (2) ◽

pp. 171

Author(s):

Nindya Ayu Damayanti ◽

N. Nurhayati ◽

Susanti Prasetyaningtyas

Keyword(s):

Data Analysis ◽

Prediction Model ◽

Stock Exchange ◽

Secondary Data ◽

Financial Statements ◽

Bankruptcy Prediction ◽

Financial Ratios ◽

Z Score ◽

Study Population ◽

A Company

This study aimed to compare the use of bankruptcy prediction model Altman Z-Score and Zmijewski on delisting companies on the Stock Exchange the period 2011 - 2015. The study population is a company delisting from the Stock Exchange in the period 2011-2015. The sample consists of 7 companies using method. purposive sampling Secondary data used in the form of financial statements of companies that issued from stock for bankruptcy in the period 2011-2015. The data analysis in this research is to perform the calculation of financial ratios in each sample, according to the variables of bankruptcy prediction model were compared to the model of Altman Z-Score and Zmijewski. Furthermore, the company classifies conditions appropriate point cut-off of each model and did calculations the accuracy of each model. Keywords: Altman Z-Score, Delisting, Bankruptcy, Zmijewski.

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PENGARUH OPINI AUDIT GOING CONCERN TERHADAP MODEL PREDIKSI KEBANGKRUTAN DAN REPUTASI AUDITOR

JOURNAL OF APPLIED MANAGERIAL ACCOUNTING ◽

10.30871/jama.v1i2.506 ◽

2017 ◽

Vol 1 (2) ◽

pp. 190-194

Author(s):

Muhammad Fadhill Lizaldy ◽

Yulinda Yulinda

Keyword(s):

Prediction Model ◽

Sampling Method ◽

Stock Exchange ◽

Bankruptcy Prediction ◽

Audit Opinion ◽

Going Concern ◽

Financial Condition ◽

Going Concern Opinion ◽

Model Affect ◽

Auditor Reputation

Audit report with modification of going concern indicates that in auditor’s opinion there is a risk that companies could not survive. This study is aimed to investigate the effect of bankruptcy prediction model and auditor reputation on going concern audit opinion. Moreover, this going concern modification is not expected by companies due to decrease public trust of image company. In addition, some of companies received unqualified opinion stop operating and not in accordance with the auditor's assessment. Thus, this study used object includes manufacturer listed on Indonesia Stock Exchange during 2013 -2015 with 134 observations obtained using purposive sampling method. Furthermore, this data are analyzed used logistic regression analysis. The conclusion of this study, the result has showed that the financial condition proxied by bankruptcy prediction model affect going concern auditor opinion positively. The auditors reputation which is proxied by audit firm size do not positively affect the opinion.Keywords: going concern opinion, bankruptcy prediction model, auditor reputation

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TESTING BHANDARI Z-SCORE MODEL BANKRUPTCY PREDICTION USING CASH FLOW

JOURNAL OF APPLIED MANAGERIAL ACCOUNTING ◽

10.30871/jama.v2i1.728 ◽

2018 ◽

Vol 2 (1) ◽

pp. 121-128

Author(s):

Barcha Handal Sakti ◽

Ely Kartikaningdyah

Keyword(s):

Cash Flow ◽

Stock Exchange ◽

Predictor Variable ◽

Bankruptcy Prediction ◽

Z Score ◽

Discriminating Power ◽

Significant Difference ◽

Operating Cash Flow ◽

Score Model

This research aimed to know whether the predictor variables on Bhandari’s z-score model having discriminating power which in each of the group has significant difference. Sample which was being used to assist was the manufacture company that consisted of healthy company and the unhealthy company enrolled in Indonesia stock exchange in the period of 2012-2014. Sample collecting method used purposive sampling and cross section was the data used in this research. This research was conducted by using Multivariat Discriminant Analysis (MDA). The result of this study showed predictor variable that gave discriminating power which stood of quality of earning (EAQ), operating cash flow divided by current liabilities (OCFCL), operating cash flow margin (OCFM), and operating cash flow return on total assets (OCFA) in distinguishing the healthy and unhealthy company significantly.

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The Impact of Bankruptcy Prediction, Company’s Financial Condition, Previous Year Audit Opinion, Firm Size and Audit Tenure Towards Auditor’s Going Concern Opinion

GATR Journal of Accounting and Finance Review (AFR) Vol. 4 (4) Oct-Dec 2019 - GATR Accounting and Finance Review ◽

10.35609/afr.2016.1.1(7) ◽

2016 ◽

Vol 1 (1) ◽

pp. 51-58

Author(s):

Lisa Cellica ◽

Ratnawati Kurnia

Keyword(s):

Firm Size ◽

Stock Exchange ◽

Secondary Data ◽

Jel Classification ◽

Bankruptcy Prediction ◽

Audit Opinion ◽

Going Concern ◽

Financial Condition ◽

Going Concern Opinion ◽

The Impact

Objective – The auditor is responsible for obtaining sufficient audit evidence about the accuracy and proper use of the going concern assumption from the company’s management through its financial statements. These evidence are used for the purpose of deciding whether there are material uncertainties about the entity's ability to maintain the continuity of its business. Thus, the objective of this paper is to examine the impact of bankruptcy prediction, company’s financial condition, previous year audit opinion, firm size and audit tenure towards Auditor’s going concern opinion. Methodology/Technique – The object of this paper is the service companies listed on the Indonesia Stock Exchange for the period of 2011-2014. This paper uses secondary data and samples taken were determined based on the purposive sampling method. The regression logistic is used to analyse data. Findings – The results of this research show that bankruptcy prediction, company’s financial condition, previous year audit opinion, firm size, and audit tenure all simultaneously, have a significant impact towards Auditor’s going concern opinion, particularly Previous Year Audit Opinion. Novelty – This paper provides insights into the factors affecting auditors in providing a going concern opinion in the case of Indonesian companies. Type of Paper: Empirical Keywords: Bankruptcy Prediction; Company’s Financial Condition; Previous Year Audit Opinion, Firm Size; Audit Tenure; Auditor’s Going Concern Opinion. JEL Classification: D81, M42.

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ANALISIS PREDIKSI KEPAILITAN PADA BANK UMUM SWASTA NASIONAL DEVISA YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2010 – 2013

Jurnal REKSA Rekayasa Keuangan Syariah dan Audit ◽

10.12928/j.reksa.v4i1.42 ◽

2018 ◽

Vol 4 (1) ◽

pp. 93

Author(s):

Sumaniyatun Fadhilah ◽

Indah Kurniawati

Keyword(s):

Commercial Bank ◽

Foreign Exchange ◽

Stock Exchange ◽

Bankruptcy Prediction ◽

Z Score ◽

Working Capital ◽

Purposive Sampling ◽

Gray Area ◽

Private Banks

The purpose of this study is to assess bankruptcy prediction in the National Private Banks Foreign Exchange listed in Indonesian Stock Exchange. This study uses the size of liquidity ratio of working capital to total assets. This study uses the find were the purposive sampling. The population in this study is the National Private Commercial Bank Foreign Exchange listed on the Indonesian Stock Exchange during the period of the study, namely between 2010 until 2013. The sample amounted to 21 banks during the 4 years that have been selected based on specific criteria. Based on the results of the analysis carried out stating that the National Private Commercial Bank Foreign Exchange listed in Indonesian Stock Exchange in 2010 there were 29 % of banks that are insolvent, 71 % of banks that are in the gray area, and no banks that are in not bankruptcy predictions. In 2011 29 % of banks that are insolvent, 67 % of banks that are in the gray area and 5 % are located on the banks not bankruptcy prediction. In 2012 29 % of banks that are insolvent, 67 % of banks that are in the gray area, and 5 % of banks that are in the prediction of the bank is not bankrup. In 2013 29 % of banks that are in bankruptcy prediction, 71 % of banks that are in the gray area, and there are no banks that are in not bankruptcy predictions. There is no difference in Z-score on bankruptcy prediction National Private Banks Foreign Exchange Listed in Indonesian Stock Exchange between 2010, 2011, 2012, and 2013.

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