Diamond Fraud Analysis in Detecting Financial Statement Fraud in Manufacturing Companies

نویسندگان

چکیده

Business people must provide accurate and relevant information be free from fraud that will mislead other parties. To appropriate for users of financial statements, the preparation these statements prepared as well possible according to data based on applicable accounting rules. This study aims analyze effect stability, external pressure, industry nature, rationalization, capability statement fraud. uses secondary data. The design used in this research is causal research. population was conducted all manufacturing companies went public were active Indonesia Stock Exchange (IDX) during 2015-2019 period. sampling technique purposive method. According criteria, a total sample 63 obtained observations study. results prove stability rationalization affect Meanwhile, nature industry, do not fraudulent statements.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detecting Management Fraud in Public Companies

T his paper provides a methodology for detecting management fraud using basic financial data. The methodology is based on support vector machines. An important aspect therein is a kernel that increases the power of the learning machine by allowing an implicit and generally nonlinear mapping of points, usually into a higher dimensional feature space. A kernel specific to the domain of finance is...

متن کامل

Predicting financial statement fraud using fuzzy neural networks

Fraud is a common phenomenon in business, and according to Section 24 of the Iranian Auditing Standards, it is the fraudulent act of one or more managers, employees, or third parties to derive unfair advantage and any intentional or unlawful conduct. Financial statements are a means of transmitting confidential management information about the<br ...

متن کامل

Financial Statement Fraud Detection by Data Mining

-------------------------------------------------------------------ABSTRACT---------------------------------------------------------------------Financial losses due to financial statement frauds (FSF) are increasing day by day in the world. The industry recognizes the problem and is just now starting to act. Although prevention is the best way to reduce frauds, fraudsters are adaptive and will ...

متن کامل

Detecting Corporate Financial Fraud using Beneish M-Score Model

Detecting financial fraud is an important issue and ignoring this issue may cause financial and non-financial losses to individuals and organizations. The aim of this study is to test the ability of Beneish M-Score Model for detecting financial fraud among companies listed on Tehran stock exchange. The research sample consists of 137 companies listed on Tehran Stock Exchange for a period of 11 ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International journal of social science and business

سال: 2022

ISSN: ['2549-6409', '2614-6533']

DOI: https://doi.org/10.23887/ijssb.v6i2.46369