Concept of integrated analysis of financial health of global corporations
https://doi.org/10.5937/etp2502077C
Keywords:
multinational corporations, financial analysis, consolidated reportsAbstract
This research focuses on the financial health analysis of multinational corporations within the complexity of the global business environment. An integrated analytical model was developed, encompassing six evaluation dimensions: competitive positioning, benchmarking, variance analysis, time dynamics, structural efficiency, and causal interdependencies among indicators. The methodological framework included qualitative and quantitative analyses of consolidated financial statements, comparative analyses, and trend evaluation. The results demonstrated that traditional unidimensional approaches do not provide sufficiently reliable insight into the true financial condition of multinational corporations, whereas the integrated model allows for a deeper understanding of the interconnected financial and operational indicators. The scientific contribution of this work lies in the theoretical advancement of financial analysis through a systems-based approach, while the practical value is reflected in the improvement of managerial decision-making processes, risk management, and capital allocation in global corporations.
References
Alexander, D., & Nobes, C. (2007). Financial Accounting: An International Introduction (6th ed.). Pearson Education.
Altman, E. I. (2000). Predicting financial distress of companies: Revisiting the Z-score and ZETA® models. Journal of Banking & Finance, 29(2), 1-20. http://dx.doi.org/10.4337/9780857936097.00027
Anthony, R. N. (1965). Planning and Control Systems: A Framework for Analysis. Harvard Business School Press.
Camp, R. C. (2024). Benchmarking: the search for industry best practices that lead to superior performance. CRC Press.
Čavlin, M., Tankosić, J. V., & Mirković, Z. (2022). Analysis of factors of financial and profit position as a method of integrated risk management in the mining sector. Ekonomija-teorija i praksa, 15(3). http://dx.doi.org/10.5937/etp2203056C
Damodaran, A. (2012). Investment Valuation: Tools and Techniques for Determining the Value of Any Asset (3rd ed.). Wiley.
Drury, C. M. (2013). Management and cost accounting. Springer.
Eiteman, D. K., Stonehill, A. I., & Moffett, M. H. (2016). Multinational Business Finance (15th ed.). Pearson Education.
Forrester, J. W. (1961). Industrial Dynamics. MIT Press.
Ghosh, A. (2001). Does operating performance really improve following corporate acquisitions? Journal of corporate finance, 7(2), 151-178. https://doi.org/10.1016/S0929-1199(01)00018-9
Hamilton, J. D. (2020). Time Series Analysis. Princeton University Press.
Hill, C. (2008). International business: Competing in the global market place. Strategic Direction, 24(9). http://dx.doi.org/10.1108/sd.2008.05624iae.001
IFRS Foundation. (2022). IFRS Standards and Interpretations. https://www.ifrs.org
Kaplan, R. S., & Norton, D. P. (2008). The Execution Premium: Linking Strategy to Operations for Competitive Advantage. Harvard Business Press.
Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2018). Statistical and Machine Learning forecasting methods: Concerns and ways forward. PloS one, 13(3), e0194889. https://doi.org/10.1371/journal.pone.0194889
Malešević, Đ., & Čavlin, M., (2020). Poslovna analiza, Fakultet za ekonomiju i inženjerski menadžment u Novom Sadu, Novi Sad
Mullins, L. J. (2007). Management and Organisational Behaviour (10th ed.). Pearson Education.
Pearl, J. (2009). Causality: Models, Reasoning and Inference (2nd ed.). Cambridge University Press.
Porter, M. E. (1985). Competitive Advantage: Creating and Sustaining Superior Performance. Free Press.
Young, S. D., & O'Byrne, S. F. (2000). EVA and Value-Based Management: A Practical Guide to Implementation. McGraw-Hill.
