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218615

Can Fraud Triangle Model Predict Fraudulent Financial Statements? Evidence from Egypt

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

المحاسبة

Abstract

Purpose – The aim of this study is to examine the risk factors of the fraud triangle model, the core of fraud auditing standards, to assessing probability of engaging in fraudulent financial statements.
 Design/Method – Depending on logistic regression analysis, this study examined the impact of the elements of fraud triangle model on the detection of financial frauds in financial statements. Significant variables, relating to pressure, opportunity and rationalization are investigated.
 Findings – this study found that fraud risk factors for pressure (financial leverage and sales to total assets), for opportunity (independence of audit committee), and for rationalization (total accruals) are significantly associated to the occurrence of fraudulent financial statements

DOI

10.21608/jces.2021.218615

Keywords

Fraud Triangle Model, pressure, opportunity, rationalization, SAS 99. Paper type Research paper

Authors

First Name

Shaimaa

Last Name

Fikry Mehanna

MiddleName

-

Affiliation

Assistant professor of accounting Zagazig university

Email

-

City

-

Orcid

-

First Name

Mohammed

Last Name

Mahmoud Soliman

MiddleName

-

Affiliation

Assistant professor of accounting Zagazig university

Email

-

City

-

Orcid

-

Volume

12

Article Issue

4

Related Issue

31060

Issue Date

2021-10-01

Receive Date

2021-10-01

Publish Date

2021-10-01

Page Start

72

Page End

124

Print ISSN

2090-3782

Link

https://jces.journals.ekb.eg/article_218615.html

Detail API

https://jces.journals.ekb.eg/service?article_code=218615

Order

45

Type

المقالة الأصلية

Type Code

986

Publication Type

Journal

Publication Title

المجلة العلمية للدراسات التجارية والبيئية

Publication Link

https://jces.journals.ekb.eg/

MainTitle

Can Fraud Triangle Model Predict Fraudulent Financial Statements? Evidence from Egypt

Details

Type

Article

Created At

22 Jan 2023