Issue |
SHS Web Conf.
Volume 74, 2020
The 19th International Scientific Conference Globalization and its Socio-Economic Consequences 2019 – Sustainability in the Global-Knowledge Economy
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Article Number | 06009 | |
Number of page(s) | 7 | |
Section | Economic Sustainability in Emerging Markets | |
DOI | https://doi.org/10.1051/shsconf/20207406009 | |
Published online | 10 January 2020 |
Alternative approach to analysis of risks affecting the efficiency of implementing the investment project in the conditions of global instability of economic space
1
Emperor Alexander I Petersburg State Transport University, Russia
2
Emperor Alexander I Petersburg State Transport University, Russia
3
Emperor Alexander I Petersburg State Transport University, Russia
* Corresponding author: natalyabatalova@yandex.ru
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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