Autor: |
Chechenova Liana M., Volykhina Natalia V., Egorov Yuriy V. |
Jazyk: |
English<br />French |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
SHS Web of Conferences, Vol 74, p 06009 (2020) |
Druh dokumentu: |
article |
ISSN: |
2261-2424 |
DOI: |
10.1051/shsconf/20207406009 |
Popis: |
This article is devoted to the study of improving the use of expert assessments for risk analysis, affecting the effectiveness of the implementation of a comprehensive investment project in the global instability of the economic space. The existing methods of expert assessments and Monte-Carlo simulation methods used to identify and assess the risks of investment projects are described. A systematic analysis of the main risks of investment projects in the context of globalization and risk management methods was carried out. The author’s classification of risks of investment projects using the criteria of economic efficiency has been developed. An approach to risk analysis, affecting the effectiveness of the implementation of complex investment projects based on existing methods using the concept of the “reduced” random factor, is proposed. This approach is used to analyse project implementation risks in the conditions of market instability with the development of recommendations for managing the main project risks. The author’s risk classification of investment projects is important at the stage of analysing risks arising from the study of sales markets, as well as during the management decision-making process, which minimizes the possible adverse impact on an organization, including losses caused by random events. The proposed approach can be applied to the analysis, express-analysis and risk management of long-term complex investment projects in the conditions of global instability of the economic space. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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