1. bookTom 15 (2021): Zeszyt 1 (June 2021)
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
2668-3989
Pierwsze wydanie
30 Sep 2019
Częstotliwość wydawania
1 raz w roku
Języki
Angielski
access type Otwarty dostęp

Red flags in financial reporting - empirical studies in the AeRO market

Data publikacji: 27 Feb 2022
Tom & Zeszyt: Tom 15 (2021) - Zeszyt 1 (June 2021)
Zakres stron: 15 - 28
Informacje o czasopiśmie
License
Format
Czasopismo
eISSN
2668-3989
Pierwsze wydanie
30 Sep 2019
Częstotliwość wydawania
1 raz w roku
Języki
Angielski
Abstract

Understanding the factors that cause fraud and properly defining key areas of conduct is one of the most effective ways to detect potential irregularities, where the auditor’s professional judgment and skepticism are essential. In this respect, it is necessary to study some key financial indicators, but also to use various procedures to identify and detect fraud and possible manipulation in the financial reporting process. The objectives are aimed at identifying and highlighting possible red flags in companies whose shares are traded on the Bucharest Stock Exchange. The sample considered sensitive to fraudulent financial reporting is composed of four distinct categories of companies, namely: companies recently admitted to trading on the AeRO market administered by the Bucharest Stock Exchange (21), companies that obtained a zero Vektor score in 2020 (9), companies that obtained a low score in the White Letter publication (5), and companies in insolvency (4).

Keywords

JEL Classification

Voinea, M.C. (2018). Eroare Versus Fraudă- Abordare comparativă prin prisma auditului financiar. Materiale/teze ale Conferinţei Ştiinţifice Internaţionale „Competitivitatea şi Inovarea în Economia Cunoaşterii”, 28-29 septembrie 2018, pp. 71-73 Search in Google Scholar

Macovei, I.C. (2007). Riscurile şi frauda în auditul financiar, Revista Lucrări Ştiinţifice, vol. 50, seria Agronomie, p. 167 Search in Google Scholar

Ioan Oprean (2010). Auditarea situațiilor financiare, suport de curs pentru masterat Search in Google Scholar

Albrecht, S. (2009). Fraud Examination. South-Western Cengage Learning Search in Google Scholar

Ioan Bogdan Robu (2012). O perspectivă financiară asupra triunghiului fraudei, Revista Audit financiar, nr.85, p.15 Search in Google Scholar

Rabiu Abdullahi, Noorhayati Mansor (2015). Fraud Triangle Theory and Fraud Diamond Theory. Understanding the Convergent and Divergent For Future Research. International Journal of Academic Research in Accounting, Finance and Management Sciences, Vol. 5, No.4, p.41 Search in Google Scholar

Spătăcean, I.O. (2019), Testarea Relevanței Modelului Beneish pentru Entități cu Risc Reputațional Confirmat. Revista ACTA MARISIENSIS, SERIA OECONOMICA, vol 13. Search in Google Scholar

Messod D. Beneish (1999). The Detection of Earnings Manipulation. pp.10-1210.2469/faj.v55.n5.2296 Search in Google Scholar

Paolone, F., & Magazzino C. (2014). Earnings manipulation among the main industrial sectors: Evidence from Italy. Economia Aziendale, pp. 253-261, https://www.researchgate.net/publication/276266980_Earnings_Manipulation_among_the_Main_Industrial_Sectors_Evidence_from_Italy Search in Google Scholar

Kara, E., Korpi, M., & Ugurlu, M. (2015). Using Beneish model in identifying accounting manipulation: an empirical study in BIST manufacturing industry sector. Journal of Accounting, Finance and Auditing Studies, pp. 21-39, https://www.semanticscholar.org/paper/Using-Beneish-Model-in-Identifying-Accounting-AninSanayiiRegresyon/eae6bdaca983d10a6931441554481805f9aeab8d Search in Google Scholar

Repousis, S., (2016). Using Beneish model to detect corporate financial statement fraud in Greece. Journal of Financial Crime, pp. 1063-1073, https://www.researchgate.net/publication/311481922_Using_Beneish_model_to_detect_corporate_financial_statement_fraud_in_Greece10.1108/JFC-11-2014-0055 Search in Google Scholar

Anh, N. H., & Linh, N. H. (2016). Using the M-score Model in Detecting Earnings Management: Evidence from Non-Financial Vietnamese Listed Companies VNU. Journal of Science: Economics and Business, pp. 14-23, https://js.vnu.edu.vn/EAB/article/view/1287 Search in Google Scholar

Artur Hołda (2020). Using the Beneish M-score model: Evidence from nonfinancial companies listed on the Warsaw Stock Exchange. Investment Management and Financial Innovations, pp. 389-401, doi:10.21511/imfi.17(4).2020.3 Search in Google Scholar

Halilbegovic, S: (2020). Application of Beneish M-score model on small and medium enterprises in Federation of Bosnia and Herzegovina. EASTERN JOURNAL OF EUROPEAN STUDIES, Volumul 11, pp.147-148 Search in Google Scholar

Polecane artykuły z Trend MD

Zaplanuj zdalną konferencję ze Sciendo