Quantity Assessment of the Risk of Investment Projects
Inna Riepina1, Olha Hrybinenko2, Nataliia Parieva3, Oleksandra Parieva4, Igor Savenko5, Natalia Durbalova6

1Inna Riepina, Department of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Getman», Kyiv, Ukraine.
2Olha Hrybinenko, Faculty of Finances and Economics, Dnipro University of Technology, Dnipro, Ukraine.
3Nataliia Parieva, Department of Accounting, Analysis and Audit, Odessa National Polytechnic University, Odessa, Ukraine.
4Oleksandra Parieva, Department of Accounting, Analysis and Audit, Odessa National Polytechnic University, Odessa, Ukraine.
5Igor Savenko, Management and Logistics Department, Odessa National Academy of Food Technologies, Odessa, Ukraine.
6Natalia Durbalova, Department of Management and Logistics, Odessa National Academy of Food Technologies, Odessa, Ukraine.

Manuscript received on 12 August 2019. | Revised Manuscript received on 19 August 2019. | Manuscript published on 30 September 2019. | PP: 7256-7260 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6338098319/2019©BEIESP | DOI: 10.35940/ijrte.C6338.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The key to increasing the value of the enterprise, its competitiveness and profit level, respectively, is a timely and adequate investment in the investment project. However, the risks that have been underestimated can adversely affect the sustainability and financial performance of the enterprise. That is why it is essential to quantify the risk of investment projects.
The article covers the issues of quantitative risk assessment of an investment project. The concept and methodology of investment risk assessment are considered. The methods of a quantitative evaluation of risks are presented. The simulation experiment was performed.
Keywords: Decision Tree, Investment Project, Method of Analogies Risk, Sensitivity (Vulnerability) Analysis Simulation Modeling.

Scope of the Article:
Simulation Optimization and Risk Management