Risk assessment in investment project

The purpose of the study is to analyze the existing methods of assessing risk and uncertainty when making decisions about investing, to illustrate the application of one of the considered methods, the Monte-Carlo method, and to analyze the results obtained during the application of the method. Th...

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Main Authors: A. L. Tkachenko, O. G. Sheveleva
Format: Article
Language:English
Published: Omsk State Technical University, Federal State Autonomous Educational Institution of Higher Education 2019-05-01
Series:Омский научный вестник: Серия "Общество. История. Современность"
Subjects:
Online Access:https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2019/%D0%A2.%204,%20%E2%84%96%202%20(%D0%9E%D0%98%D0%A1)/140-145%20%D0%A2%D0%BA%D0%B0%D1%87%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%90.%20%D0%9B.,%20%D0%A8%D0%B5%D0%B2%D0%B5%D0%BB%D0%B5%D0%B2%D0%B0%20%D0%9E.%20%D0%93..pdf
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author A. L. Tkachenko
O. G. Sheveleva
author_facet A. L. Tkachenko
O. G. Sheveleva
author_sort A. L. Tkachenko
collection DOAJ
description The purpose of the study is to analyze the existing methods of assessing risk and uncertainty when making decisions about investing, to illustrate the application of one of the considered methods, the Monte-Carlo method, and to analyze the results obtained during the application of the method. The authors proposed the use of descriptive statistics to evaluate the results of investment risk simulation. As a result of the study, existing risk assessment and uncertainty methods are analyzed when deciding on investment, a Monte-Carlo simulation is performed using Microsoft Excel, and the results are analyzed using the Descriptive Statistics tool
format Article
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institution Kabale University
issn 2542-0488
2541-7983
language English
publishDate 2019-05-01
publisher Omsk State Technical University, Federal State Autonomous Educational Institution of Higher Education
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series Омский научный вестник: Серия "Общество. История. Современность"
spelling doaj-art-f8d848d974ff4fc7a69c6b5f90d621842025-02-02T01:07:40ZengOmsk State Technical University, Federal State Autonomous Educational Institution of Higher EducationОмский научный вестник: Серия "Общество. История. Современность"2542-04882541-79832019-05-014214014510.25206/2542-0488-2019-4-2-140-145Risk assessment in investment projectA. L. Tkachenko0O. G. Sheveleva1Omsk State Technical UniversityOmsk State Technical UniversityThe purpose of the study is to analyze the existing methods of assessing risk and uncertainty when making decisions about investing, to illustrate the application of one of the considered methods, the Monte-Carlo method, and to analyze the results obtained during the application of the method. The authors proposed the use of descriptive statistics to evaluate the results of investment risk simulation. As a result of the study, existing risk assessment and uncertainty methods are analyzed when deciding on investment, a Monte-Carlo simulation is performed using Microsoft Excel, and the results are analyzed using the Descriptive Statistics toolhttps://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2019/%D0%A2.%204,%20%E2%84%96%202%20(%D0%9E%D0%98%D0%A1)/140-145%20%D0%A2%D0%BA%D0%B0%D1%87%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%90.%20%D0%9B.,%20%D0%A8%D0%B5%D0%B2%D0%B5%D0%BB%D0%B5%D0%B2%D0%B0%20%D0%9E.%20%D0%93..pdfriskinvestment riskproject uncertaintysimulation modelingeconomic efficiencymonte-carlo method
spellingShingle A. L. Tkachenko
O. G. Sheveleva
Risk assessment in investment project
Омский научный вестник: Серия "Общество. История. Современность"
risk
investment risk
project uncertainty
simulation modeling
economic efficiency
monte-carlo method
title Risk assessment in investment project
title_full Risk assessment in investment project
title_fullStr Risk assessment in investment project
title_full_unstemmed Risk assessment in investment project
title_short Risk assessment in investment project
title_sort risk assessment in investment project
topic risk
investment risk
project uncertainty
simulation modeling
economic efficiency
monte-carlo method
url https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2019/%D0%A2.%204,%20%E2%84%96%202%20(%D0%9E%D0%98%D0%A1)/140-145%20%D0%A2%D0%BA%D0%B0%D1%87%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%90.%20%D0%9B.,%20%D0%A8%D0%B5%D0%B2%D0%B5%D0%BB%D0%B5%D0%B2%D0%B0%20%D0%9E.%20%D0%93..pdf
work_keys_str_mv AT altkachenko riskassessmentininvestmentproject
AT ogsheveleva riskassessmentininvestmentproject