Conceptual approaches for building a balanced portfolio of projects in oil and gas companies in exploration and production sector

Molchanov, Konstantin; Romasheva, Natalia

doi:10.1051/e3sconf/201914003004

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…However, it would be more efficient for the state economy if a large proportion of small businesses were conducted and opened in the production sector. Thus, the development of the country's industrial potential and more goods could be sold in domestic markets and through export channels in foreign markets (Molchanov and Romasheva, 2019;Bilgaev et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

The project approach in the development of small business in the Russian Federation

Berezina¹,

Saenko²,

Puryaev³

et al. 2021

EA-XXI

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The paper aims to discuss the prospects of using the project approach in the development of small businesses in 2020-2021. To meet that goal, the authors have applied a descriptive method, with regard to Articles of the Constitution of the Russian Federation. Small business is one of the economy drivers, providing the necessary jobs and opportunities for self-employment, enterprises related to small business are quite mobile and flexible. Project management allows for creating an adequate plan of company development under conditions of limited resources and time. Based on the results of the research, it can be concluded that the project approach is an effective tool used to solve strategic problems in the face of constantly changing circumstances by eliminating some of the imperfections inherent in the market and to introduce an agile workflow.

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Section: Resultsmentioning

confidence: 99%

The project approach in the development of small business in the Russian Federation

Berezina¹,

Saenko²,

Puryaev³

et al. 2021

EA-XXI

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“…An empirical classification framework for stock price prediction, given the previous day's price increase or decrease, facilitates this relationship by using random forests and decision trees. Molchanov and Romasheva [ 38 ]. In order to achieve the goals and maximize profitability, companies suggested that indicators should be created for a balanced portfolio, which would allow portfolios to be evaluated and current and potential projects ranked to create flexibility with minimal risk.…”

Section: Literature Reviewmentioning

confidence: 99%

Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods

Mazraeh

Daneshvar

Zaj

et al. 2022

Computational Intelligence and Neuroscience

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The present paper deals with optimizing the stock portfolio of active companies listed on the Tehran Stock Exchange based on the forecast price. This paper is based on a combination of different filtering methods such as optimization of trading rules based on technical analysis (ROC, SMA, EMA, WMA, and MACD at six levels—Very Very Weak (VVW), Very Weak (VW), Weak (W), Strong (S), Very Strong (VS), and Very Very Strong (VVS)), Markov Chains, and Machine Learning (Random Forest and Support Vector Machine) Filter stock exchanges and provide buy signals between 2011 and 2020. In proportion to each combination of filtering methods, a buy signal is issued and based on the mean-variance (M-V) model, the stock portfolio is optimized based on increasing the portfolio return and minimizing the stock portfolio risk. Based on this, out of 480 companies listed on the Tehran Stock Exchange, 85 active companies have been selected and stock portfolio optimization is based on two algorithms, MOGWO and NSGA II. The analysis results show that the use of SVM learning machine leads to minor correlation error than the random forest method. Therefore, this method was used to predict stock prices. Based on the results, it was observed that if the shares of companies are filtered, the risk of transactions decreases, and the return on the stock portfolio increases. Also, if two filtering methods are applied simultaneously, the stock portfolio returns slightly and the risk increases. In the analysis, MOGWO algorithm has obtained 133.13% stock return rate with a risk of 3.346%, while the stock portfolio returns in NSGA II algorithm 107.73, with a risk of 1.459%. Comparison of solution methods shows that the MOGWO algorithm has high efficiency in stock portfolio optimization.

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“…(a) elimination of economic obstacles to the development of marginal deposits, which will subsequently lead to an improvement in their economic situation and facilitate the attraction of PSC contractors to invest in hydrocarbon fields located in border territories, deep waters, or other areas associated with high costs and risks [65][66][67][68][69]. (b) elimination of obstacles to the development of oil and gas projects [70,71].…”

Section: Problems Solutionsmentioning

confidence: 99%

Contractual Systems in the Oil and Gas Sector: Current Status and Development

Dirani

Ponomarenko

2021

Energies

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Production activities in the oil and gas industry are capital-intensive and associated with high technology, with these assets not always being available to oil-producing countries or national companies. Any form of interaction between the parties involved in natural resource extraction requires clear regulation regarding contractual relationships. This study attempts to analyze Indonesia’s production sharing contract system in order to assess its applicability to other conditions. The article covers the key aspects of contract theory, provides a classification of contractual systems in the oil and gas sector, and discusses the most common types of contractual agreements. It also considers the key principles of production sharing contracts (PSCs), analyzes the development of PSC practices in Indonesia over the past sixty years, and highlights PSC advantages and disadvantages.

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Conceptual approaches for building a balanced portfolio of projects in oil and gas companies in exploration and production sector

Cited by 10 publications

References 15 publications

The project approach in the development of small business in the Russian Federation

The project approach in the development of small business in the Russian Federation

Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods

Contractual Systems in the Oil and Gas Sector: Current Status and Development

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