UNMASKING FINANCIAL DECEPTION: UNRAVELING THE FRAUD HEXAGON’S INFLUENCE ON DETECTING FINANCIAL STATEMENT FRAUD IN INDONESIAN PUBLIC COMPANIES

نویسندگان

چکیده

This study examines the influence of fraud hexagon on likelihood financial statement in Indonesian public companies with stock values below IDR 100 that were listed Indonesia Stock Exchange (IDX) from 2018 to 2020. The population comprises sixty for three consecutive years IDX. objective sampling technique was employed select a sample 48 met research criteria, resulting 144 observations. Data analysis performed using logistic regression. findings reveal stability and change auditors significantly impact identifying fraud, while targets, changes directors, collusion, inefficient monitoring, frequency C.E.O. photos show no influence. These results provide valuable insights detecting preventing low values.

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

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

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

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: Journal of Applied Finance & Accounting

سال: 2023

ISSN: ['2746-6019', '1979-6862']

DOI: https://doi.org/10.21512/jafa.v10i1.9927