تعزيز حكم المراجع الخارجي عند تقييم قدرة المنشأة على الاستمرار بتطبيق نماذج التنبؤ بالإفلاس كإجراء إضافي لمعيار المراجعة الدولي رقم 570 من وجهة نظر المراجعين الخارجيين = Enhancing Auditors' Going Concern Judgment by Applying Bankruptcy Prediction Models as an Additional Procedure to ISA 570 from the Perspective of External Auditors

Author(s):  
يوسف علي خلف الهروط ◽  
محمد سعدات لطفي عميرة ◽  
علي أحمد ذياب مساعدة
2003 ◽  
Vol 18 (6/7) ◽  
pp. 577-590 ◽  
Author(s):  
Nirosh Kuruppu ◽  
Fawzi Laswad ◽  
Peter Oyelere

2018 ◽  
Vol 19 (4) ◽  
pp. 552-573 ◽  
Author(s):  
Muhammad Irfan Javaid ◽  
Attiya Yasmin Javid

Purpose The purpose of this paper is to determine whether the original and the revised versions of the existing prediction models are the best tools for assessing the going concern assumption of a firm in the creditor-oriented regime. Design/methodology/approach The analysis begins from estimating the classification accuracy of the original versions of the bankruptcy, going concern and liquidation prediction models. At the second step, the revised versions of the aforesaid existing prediction models are developed. At the third step, the accounting-based going concern prediction model is proposed by using multiple discriminant analysis for the creditor-oriented regime. The sample contains the financial ratios of manufacturing firms for the period 1997–2014. Findings The finding indicates that the five discriminatory variables, which belong to “income statement” and “statement of financial position,” of the proposed model are not only useful for evaluating the going concern assumption of a firm, but also give aid for evaluating the financial fraud risk of a firm as compared to the original and revised versions of the prediction models that are developed for the debtor-oriented regime. Research limitations/implications The external validity of the proposed prediction model can be tested on the large data sets of the countries where the liquidation provisions are a part of their local corporate law. Practical implications The proposed accounting prediction model will be helpful for the internal and external auditors in order to determine the going concern assumption at planning, performing and evaluation stages. Originality/value The proposed accounting-based going concern prediction model is based on liquidated firms.


2004 ◽  
Vol 19 (4) ◽  
pp. 567-582 ◽  
Author(s):  
John M. Coulter ◽  
Thomas J. Vogel

Pets.com, Inc. (Pets) was formed as an Internet retailer of pet supplies in 1999. After experiencing rapid sales growth and hemorrhaging cash in it s first year, an initial public offering (IPO) was scheduled for February 2000. In this instructional case, you will evaluate the ability of this real-world company to continue as a going concern by analyzing the financial information and business risk disclosures included in Pets' Prospectus. The case is ideal for an auditing class as it provides a background to examine how going concern and fraud risks impact the audit reporting decision. A focus on corporate governance issues, financial statement analysis techniques, bankruptcy prediction models, and e-commerce company business models would also make this case useful for financial accounting courses (e.g., accounting theory and/or financial statement analysis).


1998 ◽  
Vol 13 (3) ◽  
pp. 351-371 ◽  
Author(s):  
Benjamin P. Foster ◽  
Terry J. Ward ◽  
Jon Woodroof

This study extends the research of Hopwood et al. (1994) and Mutchler et al. (1997) by empirically investigating the relationships between loan defaults, violation of loan covenants, going-concern opinions, and bankruptcy in bankruptcy prediction models. One objective of this study is to empirically test the ability of loan defaults/accommodations and loan covenant violations to assess the risk of bankruptcy. Another objective of this study is to investigate the impact of failing to control for these two distress events on results from tests of the usefulness of going-concern opinions in assessing bankruptcy risk. Results suggest that loan default/accommodation and loan covenant violation are both significant explanatory variables of bankruptcy at the time of the last annual report before the event. While a going-concern opinion variable appears to significantly explain bankruptcy, it is not significant when included in a model with loan default/accommodation and covenant violation variables. Consequently, our results suggest that researchers should include both loan default/accommodation and covenant violation as control variables when using bankruptcy to test the usefulness of going-concern opinions.


2017 ◽  
Vol 13 (1) ◽  
pp. 79
Author(s):  
Farid Muhamadiyah

<p>Going-concern audit opinion is the auditor’s opinion regarding the ability of<br />the entity to maintain the viability of their business is one of the important things to<br />consider users of financial statements to make decisions especially berinvestas<br />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.<br />Keywords : Bankruptcy Prediction Model (Altman revised model), Corporate<br />Growth (income), Leverage, Reputation Public Accountant and Going Concern Audit Opinion.</p>


2012 ◽  
Vol 3 (2) ◽  
pp. 48-50
Author(s):  
Ana Isabel Velasco Fernández ◽  
◽  
Ricardo José Rejas Muslera ◽  
Juan Padilla Fernández-Vega ◽  
María Isabel Cepeda González

2017 ◽  
Vol 39 ◽  
pp. 01013 ◽  
Author(s):  
Maria Kovacova ◽  
Jana Kliestikova

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