METHODS OF RISK MANAGEMENT OF INVESTMENT PROJECTS’ EXPERTISE OF MUNICIPAL INFRASTRUCTURE ENTERPRISES

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

  Andrii Kovalskyi

Abstract

The issue of risk assessment of investment projects at the state level is not given much attention and there is no proposed method for assessing such risks. Considering the transition of public utilities under the conditions of decentralisation to the need for self-sufficiency, the latter must use a well-established methodology for assessing risks and uncertainties, which is carried out by private sector entities expert assessments, or methods of mathematical statistics when evaluating their investment projects. A partial answer to the lack of a methodology for assessing the risk levels of investment projects should be the concept of modelling decision-making under uncertainty. The concept of modelling decision-making is based on two essential properties that constitute the very essence of the modelling process. Firstly, the model must be similar to the object under study; secondly, it must be more direct than the object under study to be considered. The main purpose of the model is the ability to conduct experiments with the model, analysis and study, which are impossible with the object under study. The paper develops the concept of modelling decision-making in conditions of uncertainty for investment projects’ expertise of municipal infrastructure enterprises, the essence of which is to develop different scenarios for the business entity using the technique of modelling decision-making, taking into account different parameters and characteristics under uncertainty. Uncertainty decision-that decision-making is based on the fact that the probabilities of different scenarios for the entity making the risk decision are unknown.

How to Cite

Kovalskyi, A. (2020). METHODS OF RISK MANAGEMENT OF INVESTMENT PROJECTS’ EXPERTISE OF MUNICIPAL INFRASTRUCTURE ENTERPRISES. Three Seas Economic Journal, 1(4), 97-101. https://doi.org/10.30525/2661-5150/2020-4-14
Article views: 14 | PDF Downloads: 7

##plugins.themes.bootstrap3.article.details##

Keywords

decision-making, technique of modelling, municipal infrastructure enterprises, forecast, uncertainty

References

Edi Karni (2007). A new approach to modeling decision-making under uncertainty. Economic Theory, vol. 33(2), pp. 225–242. doi: https://doi.org/10.1007/s00199-006-0138-y

Vinod Venkatraman, & Scott Huettel (2012). Strategic Control in Decision Making under Uncertainty. European Journal of Neuroscience, vo. 35(7), pp. 1075–1082. doi: https://doi.org/10.1111/j.1460-9568.2012.08009.x

Semenova, K. D. (2013). Substantiation of business decisions and risk assessment: Textbook. Odesa: ONEU, Rotaprint.

Korepanov, O., Mekhovich, S., Karpenko, N., Kryvytska, O., & Kovalskyi, A. (2019). Modelling Decision Making under Uncertainty for Strategic Forecasting. International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue-3, September, pp. 7251–7255.

Bashynska, I., Sokhatska, O., Stepanova, T., Malanchuk, M., Rybianets, S., & Sobol, O. (2019). Modeling the risks of international trade contracts. International Journal of Innovative Technology and Exploring Engineering, Volume-8 Issue-11, September, pp. 2815–2820. doi: https://doi.org/10.35940/ijitee.K2313.0981119

Ronald Hochreiter, & Daniel Kuhn (2012). Optimal decision making under uncertainty. Computational Management Science, vol. 9(1), pp. 1–2. doi: https://doi.org/10.1007/s10287-011-0136-9