Gas Stocks Research Articles

Forecasting of oil and gas stock market in major US

Abstract. Oil and gas are two crucial resources in modern life and the development of technology. Investors are not only concerned about their own price, but their stock price is also an important part of formulating investment plans. This article will focus on the adjusted closing price since it consists of adjustments for splits, dividends, and capital gain distributions, which can demonstrate the situation of oil and gas in the stock market better. After the occurrence of COVID-19, the economic market of the whole world including the US. encountered great changes in many aspects. Thus, this article considered applying the model with the best performance from ARIMA, exponential smoothing, and Holt-Winters method to forecast the future adjusted closing prices of two large and representative companies in oil and gas from the US. According to the predicted results, the US oil and gas market is likely to experience a small but steady increase.

A new approach to forecasting Islamic and conventional oil and gas stock prices

In order to make more informed investment decisions, it becomes increasingly critical to forecast stock prices. Given the abnormality of financial markets, predicting the stock market with high accuracy is challenging, necessitating the selection of a reliable method. This paper aims to predict oil and gas stocks in both Islamic and conventional markets before and during COVID-19 using a model based on recurrent long short-term memory (LSTM) networks. The study employs an LSTM network combined with maximum overlap discrete wavelet transformation (MODWT) to predict the Islamic oil and gas stocks (IOG) index as well as the conventional oil and gas stocks (COG) index. Data spanning from 2018.06.27 to 2021.11.23 is divided into two periods: pre-COVID-19 and COVID-19. Prediction accuracy is assessed using root mean square error (RMSE). The study reveals that the network forecasts both indices better during the crisis period than in normal conditions. Additionally, the model generates more accurate forecasts of COG than IOG in both periods across most scales. LSTM predicts COG more accurately at the long-term horizon of the pre-crisis period, whereas it only forecasts IOC at a medium-term horizon in the same market state. In the COVID-19 era, LSTM performs best at predicting both stock markets in the medium-term, but the longest-term forecast is the least accurate. These findings have important implications for investors trading in oil and gas stocks across different market conditions, as well as policymakers regulating oil and gas-related markets.

The Effect of Return on Assets, Current Ratio, Total Asset Turnover, and Debt to Equity Ratio on Stock Prices

The purpose of this study is to investigate the impact that ROA, CR, TATO, and DER have on the stock prices of oil and gas companies that are listed on the IDX between the years 2015 and 2022. In 2022, the stock prices of eleven oil and gas businesses that were included on the IDX fell. Those who suffered the most were Akra and Apexindo Pratama Duta. In spite of the fact that AKRA's ROA increase from 4.83% to 9.12% in 2021–2022, the company's shares fell. Between the years 2015 and 2022, the prices of petroleum and natural gas stocks on the IDX were impacted by carbon reduction (CR), taxation (TATO), and demand-to-recovery (DTR strategies). Some researchers, including Kasmir and Sumarsan, discovered that ROA increases stock prices whereas DER decreases them. There is a comparison made between mining stock prices, ROA, ROE, NPM, and DER. The abstract of the Indonesian oil and gas stock price demonstrates how the success of a company's finances influences market prices. A non-random selection of six organizations was made for the study based on certain criteria. Balance sheets, income statements, equity statements, and cash flow statements that have been audited are evaluated using descriptive and verification statistical analysis. It would appear that the ROA T-statistic of X1 does not have any effect whatsoever on the values of stocks. When it comes to the most important T-statistic, the value 422 is lower than the confidence level of 95%. X2 represents the current ratio, X3 represents the total asset turnover, and X4 represents the debt to equity ratio. All three of these ratios are related to stock values. This is due to the fact that their T-statistics are increased in comparison to the primary T-statistic.

Wood Chipper Design for Biofuel Production in a Global Catastrophic Loss of Infrastructure Scenario

A variety of events such as high-altitude electromagnetic pulses, extreme solar storms, and coordinated cyber attacks could result in a catastrophic loss of infrastructure on a continental or global scale. The lengthy repair of critical infrastructure creates a need for alternative fuels such as wood gas. Wood gas is produced by heating wood in a low-oxygen environment and can be used to power combustion engines. This work investigates a novel wood chipper, designed as an energy-efficient tool for producing wood gas stock, wood chips, aiming to speed up the transition to alternative fuel. A prototype is built and tested to determine the energy efficiency and production rate of the device. The results suggest that the wood chipper could produce one cord of wood chips, 3.6 m3, in less than a day and is a viable alternative to other manual wood-processing methods. In addition, the global scaling up of production of the wood chipper is considered, indicating that the mass production of the wood chipper could accelerate the transition of wood gas production methods from manual to machine-driven immediately after a catastrophic event.

Is the Influence of Oil Prices Changes on Oil and Gas Stock Prices in Nigeria Symmetric or Asymmetric?

Is the Influence of Oil Prices Changes on Oil and Gas Stock Prices in Nigeria Symmetric or Asymmetric?

Comparative Investigation of Performance Analysis & Carbon Emission of Biodiesel and Conventional Fuel

In recent years, the world's largest democracies have recognized the threat posed by vehicle pollutants to our ecosystem, particularly the emission of hazardous gases. As a result, they have taken steps to tighten emission standards for motor vehicles in order to reduce toxicity. Additionally, the rapid urbanization taking place worldwide has led to increased consumption of petroleum products, such as diesel and petrol, which are derived from crude oil. Unfortunately, the reserves of crude oil are limited, and the availability of natural gas stocks is also restricted. Therefore, it is crucial to explore alternative sources of energy. This study focuses on examining the effects of using biodiesel as an additive in diesel engines (D.E) to observe its impact on various performance parameters such as noise emissions, break thermal efficiency, fuel consumption, carbon monoxide, and carbon dioxide. By comparing the effects of biodiesel blended fuels with conventional diesel fuel, we can analyze the behavior of diesel engines. The result shows the study indicate that the use of biodiesel as an additive reduces noise emission levels compared to diesel fuel. Additionally, the analysis of carbon monoxide and carbon dioxide emissions shows that biodiesel blended fuel results in lower carbon emissions when compared to traditional diesel fuel. These findings highlight the potential of biodiesel as a more environmentally friendly alternative in the context of diesel engines.

Monte Carlo Simulation to increase the efficiency of Gas Distribution in Padang City

PT. Cahaya Hermes Indo Abadi is one of the largest non-subsidized gas distributors in the city of Padang. Gas is a necessity in society. It is necessary to pay attention to the availability of gas to meet consumer needs, the state of gas stocks can affect the level of sales revenue. Sales relate to consumer desires for goods and services that they want to fulfill. Increasing the amount of gas demand can generate a large income. In predicting gas needs, a method is needed that is able to overcome society's gas needs. One of the methods used in this research is the Monte Carlo Method. This method is able to overcome further gas needs so data is needed to overcome this problem. The data used is 12 Kg non-subsidized gas sales data for three years, namely Gas Sales Data for 2021, 2022, and Gas Sales Data for 2023. The level of prediction accuracy in 2022 is 86.9% and in 2023 the accuracy is 86.6%. Based on the gas distribution simulation that has been carried out, the average is 86.75%. By obtaining a greater level of accuracy, this method is suitable for use and implementation in predicting future gas demand, making it easier for companies to make decisions in the future.

A rapid dual-drive technology for extinguishing large high-gas coal mines fires

Fires formed by the high gas protrusion in coal mines are difficult and risky to extinguish during the mine closure process due to the mine’s large closed range and underground gas stock. To achieve efficient and safe unsealing, reduce the risk of re-ignition and gas explosion, and accurately determine the fire extinguishing effect, a dual-drive rapid fire extinguishing technology is proposed. This technology involves ground precise positioning of drilling holes, rapid and large flow of liquid nitrogen injection, and curtain grouting to block fires in ultra-large high-gas mines. The practical results demonstrate that the implementation of surface injection of liquid nitrogen for fire extinguishing and cooling, and plugging effectively reduces the concentration of CO in the underground space from 230 PPm to 0 PPm, and decreases the CH4 concentration content from 90% to less than 0.75%. The fire extinguishing and cooling effect is fast and significant. A technical scheme for unsealing the fire area of the whole mine is formulated on a large scale based on the state of pumping and releasing pressure in the closed space of the mine. This scheme has important guiding significance for safety rescue and rescue operations after serious fire accidents occur in similar high-gas prominent mines.

Assessing the impact of storage obligations on the EU gas market: An uncertainty analysis

The low gas filling levels in underground gas storages (UGSs) in the European Union (EU), and the subsequent price volatility and geopolitical tensions between Russia and the EU triggered the adoption of counterbalancing policy strategies in the EU. A specific measure was the mandatory refilling of UGSs at 90 % by 1 November of each year to ensure adequate gas stocks. This paper assesses the impact of storage obligations on natural gas prices and the welfare of EU consumers for two market settings: a tight gas market, as experienced at the end of 2021, and a loose gas market. We use a gas market model with detailed technological constraints and uncertain input parameters. The uncertain parameters are sampled via the Latin Hypercube sampling method. The main sources of uncertainty are the storage settings, the scarcity induced both on the supply and the demand side, and the alternative storage targets. The results point out economic benefits mainly on EU consumers, in terms of avoided expenditures. The consumer payment savings under tight market conditions range up to 17 % on average, while the impact of the policy remains more questionable in the absence of scarcity: under loose market conditions, evidence of benefits is provided for 60 % of the simulated scenarios.

Aplikasi Pengelolaan dan Pemesanan Pada Pangkalan Gas LPG 3KG Desa Purun Timur Berbasis Android

Based on observations that have been made at the Purun Timur Village 3KG LPG Gas Base, problems were found regarding the management and ordering process where the management of existing gas data has only used a simple method, namely by recording in a ledger regarding gas orders ordered by those who were purchased and Confirm back to the customer by telephone or via WhatsApp that the order has been recorded. Ordering 3KG LPG gas, the owner of the base only has 9 gas stocks available at certain hours, so he doesn't know the availability of gas stocks on a regular basis. This is certainly less effective and efficient in terms of time and effort. Therefore, an online 3KG LPG gas management and ordering application is needed that can place orders and provide information on the availability of 3KG LPG gas. The research method used is a qualitative descriptive method, while the system development method uses the RAD (Rapid application development) method.

The foreign practice of large merger & acquisitions transactions in the stock market sector of the oil and gas industry

Subject. This article analyzes 12 major M&A deals in the stock market sector of the oil and gas industry in 2000–2019. Industry indicators are measured on the basis of data from ExxonMobil, Chevron, ConocoPhillips, Occidental Petroleum, Devon Energy, Anadarko Petroleum, EOG Resources, Apache, Marathon Oil, Imperial Oil, Suncor Energy, Husky Energy, Canadian Natural Resources, Royal Dutch Shell, BP, TOTAL, Eni, Equinor (Statoil), PetroChina, Sinopec, CNOOC, Petrobras, PJSC Gazprom, PJSC NK Rosneft and PJSC LUKOIL. Objectives. The article aims to examine the terms of M&A deals in the oil and gas stock market sector, as well as analyze the change and determine the current level of premium for control over equity capital in relation to market capitalization, and evaluate the consequences of concluded deals for the market capitalization of companies. Methods. For the study, I used the methods of comparative, financial and economic analyses, summarizing financial reporting data. Results. The article finds that market capitalization is the main benchmark for mergers and acquisitions in the stock market sector of the oil and gas industry, but the difference between the market valuation of assets and liabilities can also be used. An increase in the level of premium for capital control is noted in the industry, which exceeded half of the market capitalization. Thus, the least acceptable combination of conditions for entering into agreements is the totality of factors, such as high oil prices, commensurate capitalization of companies, cash compensation for equity capital and a high premium for control. On the contrary, transactions that took place during a period of low oil quotations with compensation in the form of shares had the most favorable effect on subsequent market capitalization. Conclusions and Relevance. It is necessary to pay close attention to the terms of mergers and acquisitions, in particular the control premium, as well as carefully calculate all the possible consequences of agreements concluded in the stock market sector of the oil and gas industry. The findings can help appraise the value of oil and gas assets as part of a comparative approach and decide on actions for raising the market capitalization of publicly traded oil and gas corporations.

Asymmetric and Lag Effects of Industry Risk Factors on the Malaysian Oil and Gas Stocks

This study examines asymmetric and the lag effects of oil price, gas price, and exchange rate on stock performance of the Malaysian oil and gas sub-industries. Using company-level data and multi factor asset pricing models, this study found that oil price, gas price, exchange rate, and common systematic risk factors such as market, size, and book-to-market have significant effects on the stock performance of Malaysian oil and gas sub-industries, but these exposures remain heterogeneous. Oil price and exchange rate show strong asymmetrical impacts on stock performance when decomposed into oil price increases (decreases) and exchange rate depreciation (appreciation). Increases in oil price and exchange rate depreciation have a greater impact on stock performance of oil and gas industry than decreases in oil price and exchange rate appreciation. Oil price, gas price, and exchange rate exhibit lag effects on the performance of oil and gas stocks. The findings have important asset pricing implications for profitable investment and portfolio strategies based on oil and gas risk factors for oil-exporting country.JEL Classifications: C13; C58; G10; G12; G14; Q4

The Impact of Political Decisions on Oil and Gas Companies

The energy sector has seen many changes in the past years after the coronavirus pandemic and high volatility as Russia invaded Ukraine, with oil and gas stocks having highs and lows. Using the event study approach, we analyze the effect of the announcement of the partial mobilization of the Russian army on 21 September 2022 for listed energy companies in Russia. We find that the announcement had a negative effect on Russian oil and gas companies. Moreover, this negative effect was larger one day before the announcement, which can be correlated with a possible insider trading event. Our results show the riskier profile of the energy sector in relation to possible events like political decisions or declarations. Our findings have important implications for policymakers, who have to take into account the fact that words have meaning in the financial market.

Life Cycle Assessment of Biomethane vs. Fossil Methane Production and Supply

Considering the current geopolitical situation that has hindered the gas supply gas from Russia, Europe’s main supplier, it is necessary to find alternative routes to guarantee the Italian gas stocks in winter at a reasonable cost. Such energetic strategies should consider the environmental sustainability of the different available options, fitting the targets of the EU environmental policy. With the aim of supplying a quantitative tool to support the European green transition, this paper reports the entire life cycle assessment (LCA) of three different options for the production and supply of natural gas/methane in Italy: the production of biomethane from biogas (considering a real-scale plant in Italy), the use of liquefied natural gas (LNG) supplied by Qatar by vessel, and the use of compressed gas delivered from Algeria via pipeline. The application of the LCA standardized method allowed for the quantification of the environmental benefit provided by the first option, against all the considered impact categories, thanks to a combination of several advantages: (a) its low-impact anaerobic production, (b) its exploitation of a waste product from the food/agriculture industries, and (c) its production of valuable by-products, which can be considered environmental credits. The results proved the possible environmental gain resulting from an integrated energy supply system that would be able to enhance the economic fabric of specific areas.

Dynamics of systemic risk in European gas and oil markets under the Russia–Ukraine conflict: A quantile regression neural network approach

The Russia–Ukraine conflict (RUC) has triggered a serious natural gas (hereafter referred to as gas) and oil supply crisis in Europe. We propose a quantile regression neural network model to capture the non-linear evolution of systemic risk in the European gas and oil markets. We find that the RUC significantly increased systemic risk in both the European gas and the oil markets. The systemic risk is higher, and rises much more quickly and falls much more slowly in the gas market than in the oil market. The dynamics of systemic risk are closely linked to major events during the RUC. The US-dollar-to-ruble exchange rate contributes most to this systemic risk, followed by Europe’s gas stocks and gas imports from Russia. In terms of risk exposure, the gas market is more vulnerable than the oil market. We propose an elasticity coefficient of systemic risk to evaluate its sensitivity to stress scenarios. Our study provides important insights into managing the systemic risk in European gas and oil markets after the RUC.

The spillover effect between Chinese crude oil futures market and Chinese green energy stock market

With the increasing severe pollution, the new energy industry is greatly favored by the government and investors. Using the static network connectedness method of Diebold and Yilmaz (2009, 2012, 2014) and the dynamic network connectedness approach of Antonakakis et al. (2020), this paper discusses the return and volatility spillover effects between China's crude oil futures market and 7 Chinese green energy stock markets. In terms of return spillover effects, we find firstly that Chinese green energy stock is able to dominate the price changes in the crude oil market, and the dominate role of natural gas stock market is stronger. Secondly, rather than changing the dominant role of the green energy stock market on crude oil futures market price changes, the outbreak of COVID-19 in 2020 strengthened that dominant role. For the volatility spillover effects, the results of static volatility spillover index show that the crude oil futures market volatility is mainly dominated by the green energy equity market, but the dynamic connectedness indices results show that the volatility in the international energy market can strengthen the dominant role of the crude oil futures on the volatility of the green energy stock market. Finally, we can find that both the outbreak of COVID-19 in 2020 and the online operation of the Chinese carbon trading market in 2021 can strengthen the dominant role of the green energy stock market on the crude oil futures market volatility.

Is the influence of oil prices changes on oil and gas stock prices in Nigeria symmetric or asymmetric?

Is the influence of oil prices changes on oil and gas stock prices in Nigeria symmetric or asymmetric?

Transition from brown to green: Analyst optimism, investor discount, and Paris Agreement

This paper studies financial analysts' evaluation of brown (fossil fuel) versus green (renewable) energy stocks. We find that, compared to green energy stocks, analysts tend to issue more Buy and fewer Sell recommendations for brown energy stocks. Such optimism for brown energy stocks is reduced after the commencement of groundwork for the Paris Agreement. This is especially so for coal stocks than for oil and gas stocks. We also find that, compared to recommendations on green energy stocks, those on brown energy stocks receive a lower reaction from investors, suggesting an investor discount on the informativeness of analyst recommendations on brown energy stocks. Further analysis indicates that in recent years such informational discount has diminished and investors' reliance on analysts' opinions about brown and green energy stocks has converged. Our paper discusses possible reasons for the observed differences and changes in evaluating brown vis-à-vis green energy stocks.

Confronting the gas crisis: Can we REPowerUE?

This paper aims to analyse the first collective responses, at European level, to the energy (and very acutely for gas) crisis that began in the second half of 2021, but particularly accentuated by the Russian invasion of Ukraine. Since the beginning of the conflict, discussions have been held to identify policy levers to reduce Russian gas imports, while ensuring a satisfactory level of security of supply. This type of exercise implies considering different horizons, the first of which is the winter of 2022-2023, with the concern of managing to fill gas stocks sufficiently early. Beyond this emergency, which stems from crisis management, the perspective is also to establish a horizon at which the countries of European Union could do without Russian gas altogether. These two horizons are addressed by two European Commission initiatives: ‘Save gas for a safe winter' for the shorter term (i.e. winter 2023), and ‘REPowerEU' beyond, plans whose main mechanisms will be presented here, after reminding the regulatory framework for its security of gas supply at the EU level developed in response to the tensions already ob- served over the last two decades.

Implications of poorly designed climate policy on energy poverty: Global reflections on the current surge in energy prices

With the recovery of the world economy following the easing of restrictions designed to contain COVID-19, energy demand has surged, even as natural gas stocks have run dangerously low. In addition to the reduced investment in upstream energy resources, infrastructure and maintenance since the outbreak of COVID-19, the situation is exacerbated by supply constraints. This situation has triggered one of the first significant energy shocks of the green era and exposed the fragilities of the premature greening of energy system processes. A recent study indicates that 80 million European households are struggling to stay warm, and the recent spike in energy costs is expected to aggravate the problem. Here, we examine the impact of the energy-price boom on the state of energy poverty in Europe. This paper highlights how energy prices and the green transition may exacerbate the energy poverty trap in Europe. It emphasizes one of the downside effects of poorly designed climate policies. This discussion offers insights and important policy implications that may help trigger debates on energy poverty in developing countries. It argues that poorly designed climate policy may initiate new forms of inequalities and reaffirm existing ones by undermining the foundation of individuals' capabilities. It also reveals a pivotal shift in the underlying drivers of countries' future success in addressing climate change, eliminating energy poverty, and achieving energy justice. The analysis strengthens the case that climate policies must go hand-in-hand with inequality and energy poverty mitigation.