DETECTING FRAUD FINANCIAL STATEMENTS IN MANUFACTURING COMPANIES INDONESIA

نویسندگان

چکیده

The purpose of this research is toand analyze the influence four elements infraud triangle that pressure, opportunity, and rationalization. to detect possibility fraudulent financial statements (financial statement fraud). will be divided into 5 variables, specifically stability,external ineffective monitoring, nature industry, change in auditors.to find as measured by M Score modelin manufacturing companiesin 2018-2021 period. results study show six variables used study, there one (1) variable, namely industry which has a significant effect on statements. While other five (5) targets, external auditor changes do not affect likelihood accounts. contribution our riset companies year are likely more concerned or careful impact, sustainability business future.

برای دانلود رایگان 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

A hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements

Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...

متن کامل

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

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

MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud

This appendix reports the results for the baseline and yearly/quarterly context-based classifiers when using the 1:10 regulator cost setting. Since the AUC values are computed across different cost settings (and are therefore the same for the investor and regulator situations), we report only the legitimate/fraud recall rates. Overall AUC values as well as results for the investor cost setting ...

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: Jemasi: Jurnal Ekonomi Manajemen dan Akuntansi

سال: 2022

ISSN: ['1858-2702', '2684-8732']

DOI: https://doi.org/10.35449/jemasi.v18i2.544