ANALYSIS OF FINANCIAL PERFORMANCE IN VARIOUS SECTORS: APPLICATION OF THE BENEISH M-SCORE MODEL IN CASABLANCA STOCK EXCHANGE MOROCCO

Autori

  • Ben Nokro Soufiane Doctoral Student, Université Abdelmalek Essaadi, Morocco
  • El Kharrim Moad Professor, Université Abdelmalek Essaadi, Morocco

DOI:

https://doi.org/10.46827/ejefr.v8i5.1840

Ključne reči:

financial performance, M-Score, accounting manipulation, financial indicators, profitability, liquidity

Apstrakt

This paper evaluates the financial performance of companies from different sectors on the Moroccan financial market, using the Beneish M-Score model. Initially developed to detect financial anomalies, the M-Score has evolved into a tool for assessing companies' overall financial performance and earnings quality. By analyzing financial indicators such as profitability, liquidity and operational efficiency, this study compares the financial dynamics of companies in sectors such as food, technology and transportation. The results highlight significant differences in performance, revealing both strengths and weaknesses in companies' financial management. The study also provides a comparison with industry standards, and offers recommendations for improving the assessment of financial performance using financial indicators and the M-Score.

 

JEL: G32, M41, L25

 

Article visualizations:

Hit counter

Biografije autora

  • {$ime} {$affilijacija}

    Soufiane Ben Nokro is a PhD student at Abdelmalek Essaâdi University, specializing in finance and Islamic financial market studies. His research focuses on the dynamics of Islamic finance, exploring how Islamic financial principles and markets operate within the broader global financial system. As a doctoral candidate, he is deeply involved in examining the unique characteristics and challenges of Islamic finance, contributing to the growing body of knowledge in this field while collaborating with experts and researchers in finance and economics.

  • {$ime} {$affilijacija}

    Professor Moad El Kharrim is an academic at Abdelmalek Essaâdi University, specializing in econometrics and applied statistical modeling in economics and finance. He leads research on the role of artificial intelligence in enhancing business management, focusing on improving organizational performance and decision-making processes. His work integrates sustainable management practices with digital transformation, emphasizing the environmental benefits of AI.

Reference

Beneish, M. D. (1999). The Detection of Earnings Manipulation. Financial Analysts Journal, 55(5), 24-36. Retrieved from http://dx.doi.org/10.2469/faj.v55.n5.2296

Gbadebo, A. D., Akande, J. O., & Adekunle, A. O. (2023). Financial Statements Fraud of Banks and other Financial Institutions in Nigeria. International Journal of Professional Business Review, 8(9). https://doi.org/10.26668/businessreview/2023.v8i9.3074

Hakim, M. Z., Hamdani, H., Sarra, H. D., Anggraini, A. D., Darmala, G. A. R., & Utami, E. A. (2024). How fraud hexagon model on financial statement fraud in energy sector companies. International Journal of Accounting, Management, Economics and Social Sciences, 2(3). https://doi.org/10.61990/ijamesc.v2i3.230

Maulida, M., Rahmazaniati, L., Vonna, S. M., Mahdani, S., & Fatmayanti, F. (2024). Pendeteksian financial statement fraud menggunakan fraud hexagon pada perusahaan yang terindeks idxbumn20. Jurnal aplikasi akuntansi, 9(1). https://doi.org/10.29303/jaa.v9i1.432

Rianggi, F., & Novita, N. (2023). Fraud hexagon dan fraudulent financial statement dengan pendekatan Beneish M-Score Model. Jurnal Akuntansi Universitas Jember, 21(2). https://doi.org/10.19184/jauj.v21i2.38089

Valaskova, K., & Fedorko, R. (2021). Beneish M-Score: A measure of fraudulent financial transactions in global environment.... SHS Web of Conferences, 92. https://doi.org/10.1051/SHSCONF/20219202064

Xu, T., Liu, J., & Cheng, H. (2023). Predicting Fraud in U.S.-Listed Chinese Companies: An Empirical Analysis based on M-Score and F-Score Models. Advances in Economics, Management and Political Sciences, 3, 177. https://doi.org/10.54254/2754-1169/20/20230177

Maniatis, A. (2021). Detecting the probability of financial fraud due to earnings manipulation in companies listed in Athens Stock Exchange Market. Journal of Financial Crime, 28(3), 1-10. https://doi.org/10.1108/JFC-04-2021-0083

Boni, L., Kamaluddin, A., & Kusumaningtias, R. (2024). Detecting Earning Manipulation Using the Beneish M-Score Model: Evidence from Public Listed Companies in Malaysia. International Journal of Business and Technopreneurship, 13(1). https://doi.org/10.58915/ijbt.v13i1.964

Preuzimanja

Objavljeno

2024-10-24

Broj časopisa

God. 8 Br. 5 (2024)

Rubrika

Articles