Oil and Gas Economics and Management
Ali Panahi; Amin Habibirad; Saeed Safari
Abstract
Project portfolio management is a comprehensive framework for decision making and selecting the portfolio of projects to achieve the goals of the organization by considering resource constraints. The importance of this issue in Iran's oil and gas industry is even more remarkable than ever due to ...
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Project portfolio management is a comprehensive framework for decision making and selecting the portfolio of projects to achieve the goals of the organization by considering resource constraints. The importance of this issue in Iran's oil and gas industry is even more remarkable than ever due to its unique position in the country's economy, capital-intensive and capital budget constraints that have been intensified in recent years. Identifying and defining different scenarios for each oil and gas field, determining the parameters of the mathematical model, the required data to calculate the parameters of the model and the process and methods of identifying this data, indicate the distinction and necessity of this research. This study is an applied research in terms of objective, using mathematical modeling approach, has provided a pattern to determine the optimal portfolio of capital plans of oil and gas companies. The research method is case study which has studied one of the most important oil and gas producing companies in the country and the only offshore company. In this study, a framework for selecting the optimal portfolio of capital projects is determined and after gathering required data, the zero-one integer linear mathematical programming model with the objective function of maximizing the net present value from fields (as the strategic goal of company) by considering investment constraints was designed and solved by GAMS software. Finally, according to the defined constraint, the best investment mode for each field was identified and the optimal portfolio was defined.
Accounting
Ali mohammad Ghanbari; Hamid Jamshidi
Abstract
Stock price prediction is one of the crucial concepts in finance area. Machine learning can provide the opportunity for traders and investors to predict stock prices more accurately. In this paper, Closing Price is dependent variable and First Price, Last Price, Opening Price, Today’s High, Today’s ...
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Stock price prediction is one of the crucial concepts in finance area. Machine learning can provide the opportunity for traders and investors to predict stock prices more accurately. In this paper, Closing Price is dependent variable and First Price, Last Price, Opening Price, Today’s High, Today’s Low, Volume, Total Index of Tehran Stock Exchange, Brent Index, WTI Index and Exchange Rate are independent variables. Seven different machine learning algorithms are implemented to predict stock prices. Those include Bayesian Linear, Boosted Tree, Decision Forest, Neural Network, Support Vector, and Ensemble Regression. The sample of the study is fifteen oil and gas companies active in the Tehran Stock Exchange. For each stock the data from the September 23, 2017 to September 23, 2019 gathered. Each algorithm provided two metrics for performance: Root Mean Square Error and Mean Absolute Error. By comparing the aforementioned metrics, the Bayesian Linear Regression had the best performance to predict stock price in the oil and gas industry in the Tehran Stock Exchange.
Law Studies
Naqmeh Javadpour; Hamid reza Oloumi Yazdi; Seyyed Nasrollah Ebrahimi
Abstract
International oil and gas investment disputes constitute an important part of investor-state dispute settlement (ISDS) system. Investment arbitration which is regarded as a prevalent dispute settlement mechanism in this area has come under severe criticism since it creates huge costs, lengthens the process, ...
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International oil and gas investment disputes constitute an important part of investor-state dispute settlement (ISDS) system. Investment arbitration which is regarded as a prevalent dispute settlement mechanism in this area has come under severe criticism since it creates huge costs, lengthens the process, and devastates the parties’ long-term investment relationship. In recent years, the possibility of applying alternative dispute resolution (ADR) and hybrid dispute settlement mechanisms has largely been discussed. Mediation-arbitration (Med-Arb) is one of the hybrid integrated dispute settlement mechanisms which embodies flexibility, nonjudicial, and negotiate-oriented benefits of mediation and the finality advantage of arbitration simultaneously in a single process. In this method, mediation is first attempted by the parties before arbitration could be started; if settlement is not reached during the mediation phase, the appointed neutral or mediator will then act as (an) independent arbitrator(s), will continue the case under the arbitration process, and will render a binding arbitration award. In this method, if parties reach an agreement during the first phase (mediation process), they will not incur huge costs of lengthy investment arbitration. In this method, even if the first stage (mediation process) fails, since it has further clarified and narrowed down the disputes, then the arbitration process will be less lengthy and proceed more efficiently. Moreover, both investors and host states in oil and gas investment area do have strong ambitions to maintain the investment relationships. These goals are achieved better via adopting Med-Arb proceedings. The most noted concerns in this method relates to the issue of the impartiality of the neutral (mediator in the first stage) who acts as an arbitrator at the next stage. In other words, it may be argued that the confidential information learned by the neutral from the parties in the mediation stage may seriously impact on his/her impartiality in the arbitration stage. This issue can be responded in light of respecting party autonomy principle which selects the Med-Arb clearly and correctly for dispute settlement. This approach is affirmed and proposed by the UNCITRAL model law on international commercial conciliation (2002) as well. Also, concerns regarding the enforcement of international agreements resulting from mediation have already been addressed in the United Nations Convention on International Settlement Agreements Resulting from Mediation (Singapore Convention on Mediation), which has attained international acceptance by 51 state members so far.
Seyed Mohammad Javadi; Abbas Alimoradi; Mohammad Reza Ashtiani
Abstract
Recent theories of firm dynamics emphasize on the role of financial variables as determinants of firm growth. Most of the technical literature shows that there is a positive relationship between financial leverage and firm growth. The purpose of this paper is to examine whether such relationship exists ...
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Recent theories of firm dynamics emphasize on the role of financial variables as determinants of firm growth. Most of the technical literature shows that there is a positive relationship between financial leverage and firm growth. The purpose of this paper is to examine whether such relationship exists among oil and gas companies within the Organization of the Petroleum Exporting Countries (OPEC). Data were collected from the selected members of the OPEC. The collected data was then analyzed using the Arellano and Bond (1991) GMM method and Sargan test. The results showed a significant and positive relationship between financial leverage and firm growth which is in line with the technical literature. This research contributes to the body of knowledge by examining a specific and important sector within several different countries. It shows the current theory is not affected by industry or country.
