خلاصه
1. مقدمه
2. روش ها
3. نتایج و بحث
4. نتیجه گیری
بیانیه افشاگری
منابع
Abstract
1. Introduction
2. Methods
3. Results and Discussion
4. Conclusion
Disclosure statement
References
چکیده
ما احتمال دستکاری صورتهای مالی را در بین 19 شرکت تولیدی و تجاری فهرستشده در بورس اوراق بهادار غنا برای دوره 2008 تا 2017 تجزیه و تحلیل میکنیم. ما از مدل Beneish برای گروهبندی شرکتها به شرکتهایی که احتمال دستکاری صورتهای مالی و شرکتهایی که احتمال دستکاری صورتهای مالی را ندارند استفاده میکنیم. در دستکاری صورت های مالی شرکت داشته باشد. به طور کلی، نتایج نشان میدهد که اکثر شرکتها احتمالاً در دستکاری صورتهای مالی شرکت دارند. همچنین، دریافتیم که سودآوری، نقدینگی، اهرم مالی، تغییر مؤسسه حسابرسی، و شرایط کلی اقتصادی (نمره Z) عواملی در سطح شرکت هستند که احتمال دستکاری صورتهای مالی را در بین شرکتهای تولیدی و تجاری فهرستشده در غنا پیشبینی میکنند. با توجه به تعداد بالای شرکتهای تولیدی و تجاری که احتمالاً در دستکاری صورتهای مالی شرکت میکنند، نیاز است که مدیران بورس غنا گزارشهای مالی آتی این شرکتها را برای حفظ منافع ذینفعان خود تحت بررسی دقیق قرار دهند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
We analyze the likelihood of financial statement manipulation among 19 listed manufacturing and trading firms on the Ghana Stock Exchange for the period 2008 to 2017. We use the Beneish model to group the firms into those likely to engage in financial statement manipulation and those not likely to be involved in financial statement manipulation. Generally, the results show that majority of the firms are likely to be involved in financial statement manipulation. Also, we find that profitability, liquidity, financial leverage, change of audit firm, and the overall economic condition (Z-score) are firm-level factors that predict the likelihood of financial statement manipulation among listed manufacturing and trading firms in Ghana. Given the high number of manufacturing and trading firms likely to engage in financial statement manipulation, there is the need for the managers of the Ghana Stock Exchange to subject future financial reports of these firms to rigorous scrutiny to safeguard the interest of their stakeholders.
Introduction
Three objectives drive this study. First, the study seeks to detect the likelihood of financial statement manipulation1 among listed firms in Ghana using the Beneish (1999) model. Second, it examines whether financial ratios characteristics differ among firms that are likely to engage in financial statement manipulation and those not likely to manipulate their financial statements. Third, it determines the financial ratios2 that predict the likelihood of financial statement fraud.
The fundamental purpose of corporate financial reporting is to provide the actual state of affairs of an entity to its stakeholders. The rationale is that users of financial reports found their economic decisions on information contained in such reports (Kanapickienė & Grundienė, 2015). It is for this reason that financial statement fraud is considered a serious legal and ethical issue in accounting practice. In this study, financial statement fraud is defined as any act of omission or misstatement deliberately done or committed by a firm in its financial reporting that distorts the entity’s real state of affairs. This definition, to a considerable extent, dovetails into that of Apostolou, Hassell, and Webber (2000), who define corporate financial fraud as the “intentional misrepresentation of amounts or disclosures in the financial statements” (p.181).
Conclusion
The research seeks to detect financial statement manipulation among 19 listed manufacturing and trading firms in Ghana using the Beneish model and financial ratios. The study covers 2008 to 2017 fiscal years. We use a probit regression technique to predict the probability of a listed manufacturing and trading firm engaging in corporate financial fraud. The results demonstrate that the majority of listed manufacturing and trading firms are likely to engage in financial statement manipulation. The study, therefore, concludes that financial statement manipulation may be prevalent among listed manufacturing and trading firms in Ghana. Again, sales to fixed assets ratio (SAL/FA), total debt to total assets ratio (TD/TA), earnings before interest and tax to sales ratio (EBIT/ SAL), gross profit to sales ratio (GP/SAL), cost of sales to sales ratio (COS/SAL), working capital to total assets (WC/TA), current assets to current liabilities (CA/CL) and Z-score are the financial ratios that differ significantly between firms likely to engage in corporate financial statement fraud and those not likely to do so. A probit regression analysis has shown that profitability, overall financial condition, liquidity ratios as well as a change of their external auditors predict the likelihood of listed manufacturing and trading firms getting involved in financial statement manipulation.