Skip to content
KPI Science News
ISSN 2617-5509 · e‑ISSN 2663-7472 Open Access · CC BY 4.0
Vol. · Issue 3 · 2019 Aug 20, 2019 article

GENERALIZATION OF THE INFORMATION TECHNOLOGY STRUCTURE FOR FINANCIAL RISK MANAGEMENT

NK
Nataliia V. Kuznietsova Corresponding Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Ukraine
PB
Petro I. Bidyuk Igor Sikorsky Kyiv Polytechnic Institute, Ukraine Ukraine
PublishedAug 20, 2019
KPISN 3 VOL · 3
VOL · ISS 3 · 2019 View issue

Abstract

Background. The modern financial systems at the global level cover all aspects of human activities and make a significant impact on other types of systems. They are characterized by the high sensitivity to political and social influences, various types of risks, and therefore require modern tools for modeling, estimation and forecasting risks. Objective. Development of an information technology architecture for risk analysis, assessment and forecasting which can be implemented in the form of information decision support system, cloud technologies and micro-services. Methods. Application of client-server architecture for development of information technology for financial risk management, the creation of new information technologies and an expanded decision support system for timely analysis, dynamic estimation, forecasting and risk management in financial systems. Results. Extended information technology and generalized information support decision support system as a system of financial risk management in the form of client-server architecture; and separate applications in the form of micro-services and cloud services for integration into existing and functioning information system for risk management. Conclusions. Providing efficient tools for risk assessment and forecasting allows financial companies to allocate financial resources more efficiently, predict various financial risks (their degree and probability) by data mining methods and minimize their effects by applying insurance and hedging. It is highly successful today to use such information technologies based on micro-services while they allow increase the functionality and expand existing risk management system possibilities at respective enterprises thanks to adding and integrating necessary functionality in the form of specific services.

Keywords

References

  1. M.Z. Zgurovsky and N.D. Pankratova, System Analysis: Problems. Methodology. Applications . Kyiv, Ukraine: Naukova Dumka, 2005.
  2. N.V. Kuznietsova, “Financial risk management with informational risks’ accounting”, Data Recording, Storage & Processing , vol. 20, no. 1, pp. 30–39, 2018.
  3. V.A. Vasiliev et al. , “Mathematical models of valuation and management of financial risks of economic entities”, Audit and Financial Analysis , no. 4, pp. 200–237, 2006.
  4. F. Burstein and C.W. Holsapple, Handbook of Decision Support Systems . Berlin, Germany: Springer-Verlag, 2008.
  5. L. Casolaro and G. Gobbi, “Information technology and productivity changes in the banking industry”, Economic Notes , vol. 36, no. 1, pp. 43–76, 2007. doi: 10.1111/j.1468-0300.2007.00178.x
  6. C.W. Hollsapple and A.B. Winston. (1996). Decision Support Systems . New York: West Publishing Company, 1996.
  7. O.M. Trofymchuk et al ., “Decision support system for implementing systemic approach to forecasting”, Int . J . Comp . Technol ., vol. 14, no. 5, pp. 5769–5778, 2015.
  8. N.V. Kuznietsova and P.I. Bidyuk, “Systemic approach to estimation of financial risks”, in Proc. Int. Conf. Informatics, Mathematics, Automation , Sumy, Ukraine, 2015, pp. 46–47.
  9. A.I. Rolik et al ., “Management of the level of services in the Internet system of things with microarchitecture architecture”, Bulletin of the NTUU “ KPI ” . Informatics, Management and Computing , no. 65, pp. 110–117, 2017.
  10. Hyper -V Technology Overview [Online]. Available: https://docs.microsoft.com/en-us/windows-server/virtualization/hyper-v/hyper-v-technology-overview
  11. S. Almazov. NET Core: How Microservices Work in Containers [Online]. Available: https://dou.ua/lenta/articles/microservices-net-core
  12. S. Telenyk and M. Bukasov, “Data center resource management for SAAS”, Technical Transactions Electrical Engineering , 3-E, pp. 229–235, 2016.
  13. SAS Viya [Online]. Available: https://www.sas.com/en_us/software/viya.html
  14. vSphere Hypervisor [Online]. Available: https://www.vmware.com/products/vsphere-hypervisor.html
  15. Cloud Technologies for Earth Users [Online]. Available: http://help.starline.lg.ua/internet/oblachnie-tehnologii-dlja-zemnih-polzovatelei.html
  16. P.I. Bidyuk and N.V. Kuznietsova, “Probabilistic-statistical method for financial losses risks’ estimating”, Naukovi Visti NTUU KPI , no. 2, pp. 7–17, 2018. doi: 10.20535/1810-0546.2018.2.128989
  17. N.V. Kuznietsova and P.I. Bidyuk, “Dynamic modelling of financial risks”, Inductive Modeling of Complex Systems , vol. 9, pp. 122–137, 2017.
§ 06 — Related

Similar articles in this journal

Related peer-reviewed studies published in this journal.
View all issues

AN APPROACH TO CONSTRUCTING AN INFORMATIVE FEATURE SPACE OF TECHNICAL INDICATORS FOR FINANCIAL PROCESSES BASED ON NEURAL NETWORK MODELS

Roman Tertychnyi, Denys Chuprin, Petro Bidyuk

Background. Financial time series are characterized by nonlinearity, non-stationarity, and a high level of noise, which significantly complicates their modeling and…

#informative feature space construction approach #technical indicators #Parkinson volatility #neural networks
10.20535/kpisn.2026.3.359610

Most read articles by the same author(s)

Similar Articles

1-10 of 58

You may also start an advanced similarity search for this article.