Financial statement fraud detection in public listed companies / Nurul Hidayah Khamsani, Siti Aida Sheikh Hussin and Zalina Zahid

Khamsani, Nurul Hidayah and Sheikh Hussin, Siti Aida and Zahid, Zalina (2023) Financial statement fraud detection in public listed companies / Nurul Hidayah Khamsani, Siti Aida Sheikh Hussin and Zalina Zahid. In: Proceeding: 2023 Mitrans International Logistics and Transport Conference (MILTC2023): Transport and Logistics in Education for Community. Malaysia Institute of Transport (MITRANS), UiTM, Shah Alam, pp. 187-195.

Abstract

Purpose The study aims to detect financial statement fraud in 220 companies listed in Bursa Malaysia.

Findings The results indicate around 45% of the companies in the sample manipulated their financial statements. Financial stability is the only proxy affecting the presence of financial statement fraud.

Practical implications Findings from this research can help auditors identify early warning signals of fraud in financial statements. Bursa Malaysia can use the information to encourage Malaysian publicly listed companies to enhance anti-fraud policies.

Originality/value Quantitative method using Beneish model that is part of fraud triangle theory applied to the research framework. Factors included are financial stability, leverage, financial target, number of audit committees, and auditor changes.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Khamsani, Nurul Hidayah
UNSPECIFIED
Sheikh Hussin, Siti Aida
UNSPECIFIED
Zahid, Zalina
UNSPECIFIED
Subjects: H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Fraud. Swindling. Confidence games
Divisions: Universiti Teknologi MARA, Shah Alam > Malaysia Institute of Transport (MITRANS)
Event Title: Mitrans International Logistics and Transport Conference (5 th : 2023 : Online)
Event Dates: 20 December 2023
Page Range: pp. 187-195
Keywords: Financial statement fraud, Beneish model, Fraud triangle
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/101930
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101930

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