Digital technologies in the practice of financial analysis
Abstract
The article investigates current trends in the digitalization of financial analysis. The influence of digital technologies on the practice of financial analysis is analyzed, two key areas of transformation are identified: expanding the volume of data with automated calculations and increasing the availability of financial information in electronic form. Particular attention is paid to the limitations of existing automated financial analysis systems, which, despite their ability to process large volumes of data, cannot fully replace expert assessment. Using the example of a solvency analysis of a specific enterprise, it is demonstrated that automated systems provide only a superficial description of the financial condition, without revealing the underlying causes or taking into account the specifics of the business model. The author concludes that for making management decisions, a deeper analysis is necessary, taking into account non-formalized data and the specifics of the company's activities.
About the Author
E. V. Kondukova
Ryazan Institute (branch) of the Moscow Polytechnic University
Russian Federation
Russian Federation
Elvira V. Kondukova – Candidate of Economic Sciences, Associate Professor, Associate Professor
Ryazan
References
1. Hardy C.O., Meech S.P. Analysis of financial statements // The University Journal of Business. 1925. Vol. 3, No. 4. Pp. 378–96. URL: http://www.jstor.org/stable/2354680 (date of access: 26.06.2024).
2. The AI revolution: opportunities and challenges for the finance sector / C. Maple, L. Szpruch, G. Epiphaniou [et al.]. 2023. URL: https://arxiv.org/abs/2308.16538 (date of access: 24.04.2024).
3. Harmon P., King D. Expert systems: artificial intelligence in business. New York : John Wiley & Sons, Inc. 1985. 283 p.
4. Audit-it.ru : Accounting. Taxes. Audit : [website]. URL: https://audit-it.ru (date of access: 24.04.2024).
5. API-FTS : [official website]. URL: https://api-fns.ru/ (date of access: 24.04.2024).
6. Unified interdepartmental information and statistical system : state statistics : [official website]. URL: https://fedstat.ru/organizations/ (date of access: 24.04.2024).
7. Bolotnova E.A., Kosyan M.S., Prikhodko A.V. Transformation of financial analysis in the period of digitalization // Natural sciences and humanities research. 2022. No. 41 (3). Pp. 67–71.
8. Cao L. AI in Finance: a review // ACM Computing Surveys. 2018. Vol. 9, No. 4.
9. Jejeniwa T.O., Mhlongo N.Z. A Comprehensive review of the impact of artificial intelligence on modern accounting practices and financial reporting // Computer Science & IT Research Journal. 2024. Vol. 5, No. 4. Pp. 1031–1047. doi:10.51594/csitrj.v5i4.1086.
10. The effect of Artificial Intelligence (AI) on the quality and interpretation of financial statements in the hotels classified in the AQABA Special Economic Zone (ASEZA) / M.M.A. Saleh, O.A.A. Jawabreh, N.N. Hamadneh [et al.]. 2021. URL: https://www.preprints.org/manuscript/202105.0541/v1 (date of access: 20.04.2024).
11. AFDAnalyse : [website]. URL: http://afdanalyse.ru (date of access: 24.04.2024).
12. Intellectual analysis of text responses in mass surveys / A.E. Silaeva, G.A. Gabrielyan, I.A. Isaeva, E.V. Nikulchev // Cloud of science. 2019. Vol. 6, No. 4. Pp. 779–788.
13. Sorokina M.M., Preobrazhenskaya A.S. The impact of digitalization on the financial performance of the bank // Journal of Applied Research. 2022. No. 7. Pp. 139–144.
14. Digital Economy : textbook for universities / I.A. Khasanshin, A.A. Kudryashov, E.V. Kuzmin, A.A. Kryukova ; ed. by I.A. Khasanshin. Moscow : Hotline – Telecom, 2019. 288 p.
15. Shilovskaya M.S. Analysis of the relationship between financial position and the level of corporate transparency of information in annual reports of Russian companies // Digest Finance. 2021. Vol. 26, No. 2. Pp. 195–211.
16. Checko : verification of counterparties : [website]. URL: https://checko.ru/ (date of access: 24.04.2024).
17. Testfirm : [website]. URL: https://www.testfirm.ru/otrasli/10/ (date of access: 24.04.2024).
18. SPARK – Interfax : [online publication]. URL: https://spark-interfax.ru/#/company/ (date of access: 24.04.2024).
19. Sotnik S., Deineko Zh., Lyashenko V. Key directions for development of modern expert systems // International Journal of Engineering and Information Systems (IJEAIS). 2022. Vol. 6 (5). Pp. 4–10.
Review
For citations:
Kondukova E.V. Digital technologies in the practice of financial analysis. Vestnik of Samara State University of Economics. 2024;(12):68-78. (In Russ.)
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