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Nina Poyda-Nosyk, Serhii Lehenchuk, Victoriia Makarovych, Iryna Polishchuk, Tetiana Zavalii: Analytical
                     Procedures in Audit As A Tool For Predicting The Risks Of Financial Statement Fraud In Marketing Companies


                    Erdoğan, M., & Erdoğan, E. O. (2020), “Financial Statement Manipulation: a Beneish
                    model  application”,  in Contemporary  studies  in  economic  and  financial  analysis,
                    173–188.

                    Golec, A. (2019), “Ocena skuteczności modelu Beneisha w wykrywaniu manipulacji
                    w sprawozdaniach finansowych”, Acta Universitatis Lodziensis Folia Oeconomica,
                    2(341), 161–182.

                    Hariri,  H.,  Pradana,  A.  W.  S.,  &  Widjajanti,  S.  L.  (2017),  “Predicting  financial
                    statements corporate fraud: Beneish M-Score model”, JEMA Jurnal Ilmiah Bidang
                    Akuntansi Dan Manajemen, 14(02), 92.


                    Lehenchuk, S., Mostenska, T., Tarasiuk, H., Polishchuk, I., & Gorodysky, M. (2021),
                    “Financial statement fraud detection of Ukrainian corporations on the basis of Beneish
                    model”, in Lecture notes in networks and systems, 1341–1356.

                    Lehenchuk, S., Valinkevych, N., Hrytsak, O., & Vyhivska, I. (2022), “The Beneish
                    model  as  a  tool  for  detecting  falsification  of  financial  statements  and  a  tool  for
                    economic  security  of  the  enterprise:  Ukrainian  experience”, AIP  Conference
                    Proceedings, 2413, 040009.

                    Omar, N., Johari, Z. ‘., & Smith, M. (2017), “Predicting fraudulent financial reporting
                    using artificial neural network”, Journal of Financial Crime, 24(2), 362–387.

                    Ozkan,  S.,  &  Alfarhan,  L.  (2025),  “Earnings  manipulation  and  cash  holdings:  a
                    Beneish M-score analysis in G7 nations”, Cogent Business & Management, 12(1).

                    Ramírez-Orellana,  A.,  Martínez-Romero,  M.  J.,  &  Mariño-Garrido,  T.  (2017),
                    “Measuring fraud and earnings management by a case of study: Evidence from an
                    international family business”, European Journal of Family Business, 7(1–2), 41–53.

                    Ravisankar, P., Ravi, V., Rao, G. R., & Bose, I. (2010), “Detection of financial statement
                    fraud and feature selection using data mining techniques”, Decision Support Systems,
                    50(2), 491–500.

                    Repousis, S. (2016), “Using Beneish model to detect corporate financial statement
                    fraud in Greece”, Journal of Financial Crime, 23(4), 1063–1073.

                    Roxas, M. L. (2011), “Financial Statement Fraud Detection Using Ratio and Digital
                    Analysis”, Journal of Leadership, Accountability and Ethics, 8 (4), 56–66, available
                    at http://www.na-businesspress.com/JLAE/Roxas84Web.pdf, accessed [10.06.2025].







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