scholarly journals Current Issues in Assessment of Risks Related to Investment Projects

2018 ◽  
Vol 7 (3.15) ◽  
pp. 336 ◽  
Author(s):  
Alexander Sergeevich Voronov ◽  
Mikhail Vladimirovich Karmanov ◽  
Irina Anatolievna Kiseleva ◽  
Vladimir Ivanovich Kuznetsov ◽  
Lidia Sergeevna Leontieva
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Investment Project ◽  
Investment Projects ◽  
Project Valuation ◽  
Analysis Methods ◽  
Project Risks ◽  
Capm Model ◽  
Definition Of

The definition of the essence of an object of management in economics is an indispensable component of professional risk management. Since the national risk management theory is just being formed, the need to find a clear and comprehensive definition for the notion "risks" is especially topical. Capital valuation is one of the most important issues, which needs to be solved by companies during ROI studies. This article makes an attempt to study the role of risk management in the implementation of investment projects. The main purpose of this article is to identify the main regularities which determine the peculiarities of risk assessment in business, being the key element facilitating the organization of investment projects. The objectives have been as follows: to review the basic concepts of risk management; to study its components in business; to reflect the system and risk management principles, and to carry out risk assessment; to consider the main kinds of risks in the business area.The article describes various types of investment and project risks, risk analysis methods for investment projects, as well as efficiency indicators of investment projects, and provides an analysis of risk factors and uncertainties during the development of investment projects. The peculiarities of the practical use of project risks’ analysis methods have been studied. Risk assessment methods for an investment project help evaluate its feasibility, the time within which it will start being profitable, as well as the probabilistic volume of its future profits. Investment project valuation models have been analyzed, in particular, the CAPM model for emerging capital markets. The DCF method has been studied, being the base for assessing the attractiveness of business in general and a company's investment project in particular.  

scholarly journals RISK ASSESSMENT OF THE INVESTMENT PROJECT OF TRADE ENTERPRISES

2020 ◽  
Author(s):  
Kseniia Verhal ◽  
◽  
Inna Ischenko ◽  
Keyword(s):  
Risk Assessment ◽  
Investment Project ◽  
Environmental Parameters ◽  
Enterprise Information ◽  
Investment Projects ◽  
Trading Company ◽  
Qualified Personnel ◽  
The World ◽  
Project Risks ◽  
Risks Prevention

Investment projects are characterized by a substantial degree of uncertainty, weak predictability of environmental parameters and risks. Therefore, the risk management system is an important component of effective business planning, related to safety and financial integrity of an enterprise, and risk assessment is an important part of the project management. According to the steps of risk assessment trade enterprises require the identification of external and internal risks that may affect the effectiveness of their investment project. In this article is proposed to take into account the presence of specific risks for different phases of the project life cycle, the risks of trade enterprises, as well as the existence of risks arising from industry specifics. It is proposed to identify the risk by subgroups: risks accompanying the investment project; risks of a trading company; industry risks; macro-level risks; global risks. It is determined that external risks are characterized by such management methods as identification, forecasting, monitoring and accounting of risks; internal risks – prevention, transfer and reduction of risks. According to the selected subgroups, the risks that are characteristic of investment projects of commercial enterprises are identified. Depending on the subgroup, it is proposed to use the appropriate information and methodological support. The main global risks in the world in 2019 are analyzed. It is established that the main global risks in the world are environmental and threats caused by the development of information technology. It is determined the biggest risks Ukraine – the lack of qualified personnel, regulatory risk, operational risk, the risk associated with new/subversive technologies. It is concluded that there are differences in determining the greatest risks in the activities of economic entities in Ukraine and the world. Sectoral risks and their impact on the investment activities of commercial enterprises (economic, regulatory, institutional, political, and environmental) are identified. The internal risks influencing realization of the investment project of the trading enterprise (information, administrative, financial, marketing, logistic, technological, ecological, personnel) are revealed.

Risk Management of the Investment Project

2018 ◽  
Vol 6 (4) ◽  
pp. 17-24
Author(s):  
Елена Моргунова ◽  
Yelyena Morgunova ◽  
М. Моргунова ◽  
M. Morgunova
Keyword(s):  
Risk Management ◽  
Coal Mining ◽  
Investment Project ◽  
Mining Sector ◽  
Investment Projects ◽  
Project Risks

The article presents the results of a study on risk management of an investment project, using the example of projects in the coal mining sector. Issues of identification and evaluation of project risks are considered. An integrated and holistic mechanism for understanding problems related to risk management of investment projects has been formed.

نماذج المحاكاة- محاكاة مونتي كارلو- كأسلوب كمي من أساليب النمذجة واتخاذ القرارات - مقاربة نظرية وتطبيقية

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
محمد الأمين ◽  
بن حامد عبد الغني ◽  
مراس محمد
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Quantitative Methods ◽  
Practical Importance ◽  
Investment Project ◽  
Simulation Method ◽  
Period Analysis ◽  
Investment Projects ◽  
Monte Carlo Simulation Model

Our research aims to try to present the modeling mechanisms in the field of simulation and quantitative methods. The research is a presentation of the role of quantitative methods in making investment project evaluation decisions, more than that and is the use of the Monte Carlo simulation model in evaluation and multi-period analysis of investment projects under conditions Risk and uncertainty. And highlighting the theoretical, scientific and practical importance of the Monte Carlo simulation method in particular, and the importance of using quantitative methods in helping to make decisions in general

Recommendations for risk management of the company’s investment project

2021 ◽  
pp. 44-54
Author(s):  
T.V. Orel ◽  
I. V. Korneeva
Keyword(s):  
Risk Management ◽  
Investment Project ◽  
Investment Projects

Planning investment projects involves the need to study the risks that affect the profitability of projects. Otherwise, such investment projects can lead to significant losses. Therefore, timely identification and management of all risks of an investment project is of particular importance.

scholarly journals THE CURRENT STATE OF PROJECT RISK ASSESSMENT AND EDUCATION NEEDS IN PROJECT RISK MANAGEMENT

2019 ◽  
Vol 7 ◽  
Author(s):  
Matej Masár ◽  
Mária Hudáková
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Managers ◽  
Project Risk Management ◽  
Project Risk ◽  
Qualitative And Quantitative ◽  
Current State ◽  
The World ◽  
Project Risks ◽  
Project Risk Assessment

Current trends show that education in the field of project risk management is a very actual topic. Long - term projects, which was realized in 2018, was mainly focused on R&D across the world. Short - term projects, was focused on innovation and improve manufacturing processes. Many projects failed because project managers did not manage project risks. Project managers have less knowledge and skills on how to effectively manage project risks, especially risks in the planning phase of projects. The main aim of this article is to analyze the current state of usage project risk assessment across the world, based on own empirical research, which was provided, by authors in 2018 and 2019 (mainly level of usage project risk management methods, experience and level of education). The research focused on analyzing the current state of project risk assessment among continents. The authors focused on the average level of use qualitative and quantitative project risk analysis by project managers, level of project risk management experience by project managers and complexity of learning in using of qualitative and quantitative project risk management methods and tools.  Some recommendation were established to educate project managers in the field of project risk management.

The Practice of Risk Assessment of Investment Projects in the Production Sector

2021 ◽  
pp. 4-14
Author(s):  
I. Korneeva ◽  
T. Orel
Keyword(s):  
Risk Assessment ◽  
Investment Project ◽  
Production Sector ◽  
Investment Projects ◽  
Specific Project

The article is about solving the issues of identification and risk assessment in investment projects. The calculation and analysis of quantitative risks is shown on the example of the implementation of a specific project in the production sector. Strategies for responding to the dangerous risks of this investment project have been developed and the effectiveness of the proposed measures has been evaluated.

Fuzzy Rules for Risk Assessment and Contingency Estimation within COCOMO Software Project Planning Model

2014 ◽  
pp. 88-111 ◽  
Author(s):  
Ekananta Manalif ◽  
Luiz Fernando Capretz ◽  
Danny Ho
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Planning ◽  
Project Managers ◽  
Research Data ◽  
Software Project ◽  
Planning Model ◽  
Effort Estimation ◽  
New Approach ◽  
Project Risks

Software development can be considered to be the most uncertain project when compared to other projects due to uncertainty in the customer requirements, the complexity of the process, and the intangible nature of the product. In order to increase the chance of success in managing a software project, the project manager(s) must invest more time and effort in the project planning phase, which involves such primary and integrated activities as effort estimation and risk management, because the accuracy of the effort estimation is highly dependent on the size and number of project risks in a particular software project. However, as is common practice, these two activities are often disconnected from each other and project managers have come to consider such steps to be unreliable due to their lack of accuracy. This chapter introduces the Fuzzy-ExCOM Model, which is used for software project planning and is based on fuzzy technique. It has the capability to not only integrate the effort estimation and risk assessment activities but also to provide information about the estimated effort, the project risks, and the effort contingency allowance necessary to accommodate the identified risk. A validation of this model using the project’s research data shows that this new approach is capable of improving the existing COCOMO estimation performance.

Fuzzy Rules for Risk Assessment and Contingency Estimation Within COCOMO Software Project Planning Model

2018 ◽  
pp. 771-797
Author(s):  
Ekananta Manalif ◽  
Luiz Fernando Capretz ◽  
Danny Ho
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Planning ◽  
Project Managers ◽  
Research Data ◽  
Software Project ◽  
Planning Model ◽  
Effort Estimation ◽  
New Approach ◽  
Project Risks

Software development can be considered to be the most uncertain project when compared to other projects due to uncertainty in the customer requirements, the complexity of the process, and the intangible nature of the product. In order to increase the chance of success in managing a software project, the project manager(s) must invest more time and effort in the project planning phase, which involves such primary and integrated activities as effort estimation and risk management, because the accuracy of the effort estimation is highly dependent on the size and number of project risks in a particular software project. However, as is common practice, these two activities are often disconnected from each other and project managers have come to consider such steps to be unreliable due to their lack of accuracy. This chapter introduces the Fuzzy-ExCOM Model, which is used for software project planning and is based on fuzzy technique. It has the capability to not only integrate the effort estimation and risk assessment activities but also to provide information about the estimated effort, the project risks, and the effort contingency allowance necessary to accommodate the identified risk. A validation of this model using the project's research data shows that this new approach is capable of improving the existing COCOMO estimation performance.

scholarly journals Diagnostics and monitoring of economic entities security

2019 ◽  
Vol 91 ◽  
pp. 08002 ◽  
Author(s):  
Elena V. Karanina ◽  
Olesya A. Ryazanova ◽  
Alexander N. Timin ◽  
Larisa P. Domracheva
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Final Stage ◽  
Small Businesses ◽  
Integrated Model ◽  
Economic Security ◽  
Management Decisions ◽  
Main Factors ◽  
Definition Of

The article shows the place and role of economic entities in the system of economic security of territories. Various approaches to the definition of the term “economic security of small businesses” are considered. The main factors and threats to the economic security of economic entities of the territories are presented. Presents the author’s system of basic indicators of estimation of economic safety of economic entities of the territory. Offers on carrying out diagnostics and monitoring of risks are given. Recommendations as a rating of economic security of economic entities of territories are given. The procedure for monitoring the economic security of economic entities of the territories based on a risk-based approach can be represented in the form of five interrelated stages. This is the stage of collecting data on enterprises and the calculation of the necessary indicators. The stage of formation of the system of indicators, they are risk factors. Stage of processing indicators. The stage of building an integrated model of potential and risk assessment. In addition, the final stage of assessment of the complex level of economic security of economic entities of the territories. This will allow making management decisions in the field of development and support of small businesses at the territorial level.

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