Methodology Of Assessing Investment Attractiveness Of Ukrainian Gas Producers

The development of a methodology for assessing investment attractiveness of businesses of Ukrainian gas production industry that is presented in the form of a generalized algorithm reflects the conceptual model of research. The scope of research is methodological approaches to assessing investment attractiveness of businesses. The purpose of this study is to recommend methodology for assessing the investment attractiveness of Ukrainian gas producers. The methodology for assessing investment attractiveness of gas producers can be used to determine the investment attractiveness of an individual business, evaluate financial position in the course of privatization and development of measures for rehabilitation or liquidation of a business, as well as to carry out a financial analysis at the initiative of both the business itself and investors who consider investment in production. The paper assesses performance of the leading gas producers in accordance with the individual life cycle stages of the business. The authors propose management measures to ramp up natural gas production in Ukraine. The amount of investment in the gas production industry required to achieve the estimated gas production figures has been assessed and the overriding priorities for the development of Ukrainian gas production industry have been established

Demonstrating demand response from water distribution system through pump scheduling

Significant changes in the power generation mix are posing new challenges for the balancing systems of the grid. Many of these challenges are in the secondary electricity grid regulation services and could be met through demand response (DR) services. We explore the opportunities for a water distribution system (WDS) to provide balancing services with demand response through pump scheduling and evaluate the associated benefits. Using a benchmark network and demand response mechanisms available in the UK, these benefits are assessed in terms of reduced green house gas (GHG) emissions from the grid due to the displacement of more polluting power sources and additional revenues for water utilities. The optimal pump scheduling problem is formulated as a mixed-integer optimisation problem and solved using a branch and bound algorithm. This new formulation finds the optimal level of power capacity to commit to the provision of demand response for a range of reserve energy provision and frequency response schemes offered in the UK. For the first time we show that DR from WDS can offer financial benefits to WDS operators while providing response energy to the grid with less greenhouse gas emissions than competing reserve energy technologies. Using a Monte Carlo simulation based on data from 2014, we demonstrate that the cost of providing the storage energy is less than the financial compensation available for the equivalent energy supply. The GHG emissions from the demand response provision from a WDS are also shown to be smaller than those of contemporary competing technologies such as open cycle gas turbines. The demand response services considered vary in their response time and duration as well as commitment requirements. The financial viability of a demand response service committed continuously is shown to be strongly dependent on the utilisation of the pumps and the electricity tariffs used by water utilities. Through the analysis of range of water demand scenarios and financial incentives using real market data, we demonstrate how a WDS can participate in a demand response scheme and generate financial gains and environmental benefits

Oil and Gas Financial Reporting Using the USGAAP XBRL Taxonomy

The Oil and Gas industry has very unique requirements in reporting oil and gas producing activities. Because of these unique requirements, it has been difficult to compare Oil and Gas companies over the years. The current XBRL US taxonomy includes standardized Oil and Gas disclosures. This paper will introduce the requirements Oil and Gas companies are to follow when reporting their financial information. Also, an analysis of the U. S. GAAP taxonomy was done by tagging Anadarko’s 2006 financial statements1. The analysis was to determine if the taxonomy includes elements for each of these requirements. Finally, conclusions of the analysis and disclosures will be presented

Equilibrium Exhaustible Resource Price Dynamics

We develop equilibrium models of an exhaustible resource market where both prices and extraction choices are determined endogenously. Our analysis highlights a role for adjustment costs in generating price dynamics that are consistent with observed oil and gas forward prices as well as with the two-factor prices processes that were calibrated in Schwartz and Smith (2000). Stochastic volatility aries in our two-factor model as a natural consequence of production for oil and natural gas prices. Differences between the endogenous price processes considered in earlier papers can generate significant differences in both financial and real option values.

Analysis of Financial Ratios to Measure Financial Performance in the Oil and Gas Industry Listed on the Indonesia Stock Exchange for the Period 2017-2021

This study aims to determine the financial performance of oil and gas companies listed on the IDX for the 2017-2021 period. This type of research is a descriptive qualitative research with secondary data, namely in the form of financial reports of oil and gas companies listed on the IDX obtained from the website www.idx.co.id with time series and cross sectional analysis. The samples used in this study are three oil and gas companies listed on the IDX for the 2017-2021 period, namely PT. Astrindo Nusantara Infrastructure Tbk, PT. Elnusa Tbk and PT. Main radiant interinsco Tbk with sampling technique using purposive sampling method. Analysis of the data used is the analysis of financial ratios. The results showed that in the ratio analysis of the overall company finances which became the object of research the company had a good performance

Analisis prediksi kebangkrutan model zmijewski x-score pada perusahaan subsektor minyak dan gas periode 2019-2021

This study aims to predict financial distress using the Zmijewski X-Score model for oil and gas sub-sector agency listed on the Stock Exchange from 2019-2021. This research uses a qualitative approach method . In this study, the population used were all oil and gas agency listed on the Stock Exchange for the 2019-2021 period, so the population in this study amounted to 14 agency. The sample was selected based on purposive sampling criteria that have been determined, so that the sample in this study amounted to 10 agency. The results of the analysis using the zmijewski model are that in 2019 before the COVID-19 pandemic, there were 4 oil and gas agency in financial distress and 6 oil and gas agency in healthy condition (non-financial distress). In 2020, when the COVID-19 pandemic occurred, there was only 1 company in financial distress and 9 agency still in healthy condition (non-financial distress). In 2021, after the issue of the conflict between Russia and Ukraine, 1 oil and gas company is in financial distress and 9 agency are in a healthy condition (non-financial distress)

Why Oil and Gas Development Company Limited (OGDCL) Should Not Be Privatized

There is so much criticism of this decision of government to privatize the OGDCL. Motivated by this scenario that either OGDCL should be privatized or not, this research was conducted.  Purpose of this research was to estimate and predict the future performance of OGDCL. In this research, major focus was on the historical financial and operational performance of the oil and gas development corporation of the Pakistan in the last decade. Different analysis on OGDCL like financial ratio analysis, competitor analysis, horizontal analysis, vertical analysis, common size analysis and trend analysis have been conducted. Although oil and gas industry is a growing and emerging industry in Pakistan and oil and gas companies are earning very attractive profit, but government of Pakistan wants to privatize the oil and gas development corporation of Pakistan limited (OGDCL).With the help of previous data and analysis, it is concluded that oil and gas development corporation of Pakistan should not be privatized as it will be not in the favor of the state as a whole and it may affect the impressive performance of OGDCL. This study provides information that why organizations which are performing well like OGDCL, should not be privatized. It also recommends that what other measures should adopt to sustain performance of such companies. Keywords: OGDCL, PPL, financial analysi

Gas Storage Valuation: Price Modelling v. Optimization Methods

The existence of a financial gas market motivates the analysis of gas storage as a separate asset, using the market value context for utilization and valuation. In the recent literature, gas storage is typically analysed within a framework with a simple one-factor price dynamics that is solved to optimality. We follow a different approach, where the market is represented by a forward curve with daily granularity, the price uncertainty is represented by six factors, and where we impose a simple and intuitive storage strategy that follows from repeated maximization of the intrinsic value. Based on UK natural gas market price data, we obtain the gas storage value using our approach, and compare with results from one-factor models as well as with perfect foresight. We find that our approach captures much more of the true flexibility value than the one-factor models. Our results indicate that the appropriate framework for analyzing complex assets like gas storage is a rich representation of the price dynamics combined with a simple and intuitive decision rule.Energy; uncertainty; flexibility; exercise strategy

Analysis of Gas Station Financial Management to Prevent Fraud and Anticipate the Impact of Revenue Fluctuations

The aim of this research is to explore how management can prevent and control fraud and also anticipate the impact of fluctuations in ABC gas station revenues. The research methodology employed in this study is a qualitative approach with a case study conducted at ABC Gas Station. Data was gathered through interviews with the head of the finance department, administrative personnel, supervisors, managers, the director of ABC Gas Station, and the SPI Foundation team. The collected data was then analyzed and further developed utilizing the Triangle Fraud Theory, consisting of pressure, opportunity, and rationalization. By comprehending these factors, ABC Gas Station can pinpoint potential areas susceptible to fraudulent activities and implement appropriate controls to prevent them. This study provides valuable insights into the financial management practices at ABC Gas Station, offering actionable recommendations to strengthen operational integrity and navigate the challenges posed by fraud and revenue fluctuations. By implementing these suggestions, gas stations can ensure more robust financial management and secure long-term sustainability in a competitive market. This research significantly advances the understanding of financial management within gas stations by conducting a comprehensive evaluation of its susceptibility to fraudulent activities, particularly in light of past incidents. It uniquely combines financial analysis with the  Triangle Fraud Theory to comprehensively assess the weaknesses in the financial management system and the justifications behind fraudulent actions. This integration of financial evaluation and fraud theory represents a fresh perspective in addressing financial integrity in gas station businesses