scholarly journals DOES FINANCIAL DISTRESS HAS AN EFFECTS ON AUDIT REPORT LAG? (STUDY ON MANUFACTURING COMPANIES LISTED IN INDONESIA STOCK EXCHANGE)

AKUNTABILITAS ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 19-34
Author(s):  
Nur Khamisah ◽  
Anisa Listya ◽  
Nyimas Dewi Murnila Saputri
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Manufacturing Companies ◽  
Z Score ◽  
Audit Report ◽  
Audit Process ◽  
Final Sample ◽  
Cpa Firm ◽  
Big Four

This study aims to examine the effect of financial distress on audit report lag and how the size of CPA Firm moderate the effect between financial distress and audit report lag. This study was held at manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019. The final sample there were 318 observations, with a purposive sampling method. The variable financial distress is measured by the Altman Z Score proxy, which is the best model for measuring the state of financial distress being experienced by the company. The size of CPA Firm is measured by dummy variables, given a value of 1 if it is a Big Four CPA Firm and 0 if it is not a Big Four CPA Firm. This study use multiple linear regression to analyze the data. Based on the results of the analysis found that financial distress has negative and significant effect on audit report lag. It means that the smaller the Z Score of a company (which means the company is experiencing financial distress), the longer the financial statement audit process will be. This negative relationship between financial distress is strengthened by the size of CPA Firm.

scholarly journals Analysis of bankruptcy issues at manufacturing companies, sub-sectors of cosmetics and houseappliances registered in Indonesia Stock Exchange (IDX) year 2015-2017 using Altman Z-score

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Marketing Performance ◽  
Grey Area ◽  
Manufacturing Company ◽  
Score Model

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.

scholarly journals FAKTOR DETERMINAN AUDIT REPORT LAG PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2017-2019

2021 ◽  
Vol 5 (2) ◽  
pp. 132-141
Author(s):  
Zulfa Rosharlianti
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Manufacturing Companies ◽  
Audit Report ◽  
Investment Opportunity ◽  
Analysis Techniques ◽  
Effect Model ◽  
Independent Variable

This study aims to determine the description and determinants of audit report lag factors in manufacturing companies listed on the Indonesia Stock Exchange in 2017-2019. The research independent variable is financial distress, investment opportunity and KAP reputation, while the dependent variable is audit report lag. Samples were taken through purposive sampling, in order to obtain a number of 31 companies. Data analysis techniques used multiple linear regression panel data Random Effect Model. The results of this study are that together financial distress, investment opportunity and KAP reputation have a significant effect on audit report lag. Partially, financial distress has no effect on the audit report lag, investment opportunity has no effect on the audit report lag, and the reputation of KAP has no effect on the audit report lag.

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 Analisis Altman Z-Core pada Perusahaan Manufaktur Sub Sektor Otomotif yang Terdaftar di Bursa Efek Indonesia

2012 ◽  
Vol 13 (2) ◽  
pp. 135-148
Author(s):  
Andreas Suhendi ◽  
Keyword(s):  
Financial Distress ◽  
Research Method ◽  
Stock Exchange ◽  
Ratio Method ◽  
Manufacturing Companies ◽  
Z Score ◽  
Financial Ratio ◽  
Analysis Techniques ◽  
Score Model ◽  
Descriptive Method

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.

scholarly journals PENGARUH INSENTIF PAJAK, FINANCIAL DISTRESS, EARNING PRESSURE TERHADAP KONSERVATISME AKUNTANSI

2020 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Listya Sugiyarti ◽  
Stefany Rina
Keyword(s):  
Financial Distress ◽  
Quantitative Methods ◽  
Stock Exchange ◽  
Statistical Tests ◽  
Secondary Data ◽  
Tax Incentives ◽  
Accounting Conservatism ◽  
Financial Statement ◽  
Manufacturing Companies ◽  
Final Sample

This study aims to obtain empirical evidence of tax incentives, financial distress, earnings pressure and accounting conservatism. The influence of the independent variable on the dependent variable in the study uses secondary data in the form of financial statement data in the manufacturing companies of the consumer goods industry sub sector listed on the Indonesia Stock Exchange in 2013-2017. This research used quantitative methods. The sample used in this study amounted to 19 manufacture companies of consumption goods industry sub-sector with a research observation period of 5 years and obtained a total final sample that can be processed as many as 95 financial statement data. Data analysis techniques used multiple linear regression with statistical tests and the operation of SPSS software version 24. The results of the study showed that tax incentives affect accounting conservatism, financial distress influences accounting conservatism, while earning pressure does not affect accounting conservatism.

scholarly journals Auditor Switching, Financial Distress, and Financial Statement Fraud Practices with Audit Report Lag as Intervening Variable

2020 ◽  
Vol 3 (2) ◽  
pp. 243-257
Author(s):  
Fandry Widharma ◽  
Endah Susilowati
Keyword(s):  
Financial Distress ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Partial Least Square ◽  
Least Square ◽  
Financial Statement ◽  
Manufacturing Companies ◽  
Audit Report ◽  
Financial Statement Fraud ◽  
Auditor Switching

This research aims to examine Auditor Switching and Financial Distress's effect on the possibility of Financial Statement Fraud occurrence, which is proxied by using the F-Score formula, and Audit Report Lag Intervening variable. This study's subjects are companies engaged in manufacturing and listed on the Indonesia Stock Exchange (IDX) with a research period in 2014-2018. The sample in this study used a non-probabilistic purposive sampling technique with a total of 27 manufacturing companies. The analysis technique in this study uses Partial Least Square (PLS) with smart PLS 3.0 tools. Results indicate that financial distress and audit report lag directly affect Financial Statement fraud. Auditor report lag as an intervening variable does not influence the relationship between auditor switching, financial distress, and Financial Statement fraud. These results imply that investors must be more careful in investing in the company with a lag in their audit reports. It is also suggested that management must continue to be cautious with the opportunity to do fraud in the financial statement.

scholarly journals Model Altman Z-Score Terhadap Kinerja Keuangan di Bursa Efek Indonesia Melalui Pendekatan Regresi Logistik

2019 ◽  
Vol 1 (1) ◽  
pp. 63-72
Author(s):  
Nurul Fitri ◽  
Rachma Zannati
Keyword(s):  
Regression Analysis ◽  
Financial Distress ◽  
Manufacturing Industry ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Return On Assets ◽  
Current Ratio ◽  
Analysis Technique ◽  
Equity Ratio

The purpose of this study is to confirm the determinants of financial performance on the condition of financial distress companies through the Altman Model (Z-score) approach. The sample in this study is a manufacturing industry sub-sector company which is listed on the Indonesia Stock Exchange for the period 2013 to 2017. The analysis technique of this study uses logistic regression analysis, and the findings prove that the Current Ratio and Debt to Equity Ratio cannot predict the condition of Financial Distress. Whereas Return On Assets can predict Financial Distress in manufacturing companies. The implications of this finding can contribute to companies in maintaining financialperformance stability so as to avoid financial distress. 

scholarly journals Analysis of bankruptcy issues at manufacturing companies, sub-sectors of cosmetics and houseappliances registered in Indonesia Stock Exchange (IDX) year 2015-2017 using Altman Z-score

2019 ◽  
Vol 4 (01) ◽  
pp. 27
Author(s):  
Indar Khaerunnisa ◽  
Nur Anisa Rahayu
Keyword(s):  
Financial Performance ◽  
Financial Distress ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Marketing Performance ◽  
Grey Area ◽  
Manufacturing Company ◽  
Score Model

This research aims to figure out the level of companies bankruptcy by applying Altman Z-Score at the manufacturing companies registered in the Indonesia Stocks Exchange. The result of the research has indicated that ZScore model is applicable to detect the company’s potential bankruptcy issues, especially manufacturing company subsectors of cosmetics and houseappliances. Altman Z-Score model has classified the companies into three categories; safe, grey area and distress. Based on the result of the research, for the companies which are in the grey area category are suggested to improve their financial performance and to use the benefit of all the assets properly to get the revenue as much as possible. However, for the companies which are in the safe category are suggested to increase their performance, especially marketing performance so that they will receive bigger amount of the revenue, nevertheless, the potential of financial distress can be minimized accordingly. Keywords: manufacturing company, financial distress, Altman Z-Score.

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 Analysis of The Effect Of Financial Distress Conditions On Activity / Efficiency Ratios In Manufacturing Companies In Indonesian Stock Exchange During The Covid Period

2021 ◽  
Vol 1 (3) ◽  
pp. 9-22
Author(s):  
Aryono Yacobus ◽  
Hasa Nurrohim KP
Keyword(s):  
Financial Distress ◽  
Manufacturing Industry ◽  
Activity Ratio ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Z Score ◽  
Value Analysis ◽  
Balance Sheets ◽  
Industry Sector ◽  
Activity Ratios

The study aims to retest the financial ratios derived from balance sheets, income statements, and cash flow statements. This research is also to find out the effect of financial distress conditions on the activities of companies in the manufacturing industry sector during the Covid period. Is there an influence on financial to activity ratios for companies experiencing financial distress during the covid period?. This study used logistical statistical analysis while to determine whether the company experienced financial distress or not, using Altman's Z Score value analysis. After testing, it was found that the ratio of cash position and activity ratio had a significant effect on companies experiencing financial distress.

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