Brent Crude

About: Brent Crude is a research topic. Over the lifetime, 548 publications have been published within this topic receiving 9879 citations.

Volatility Spillover Effects In Asean-5 Stock Market: Does The Different Oil Price Era Change The Pattern?

Abstract: The aim of this study is to identify the pattern of volatility transmission in ASEAN-5 (Indonesia, Malaysia, Thailand, Singapore and the Philippines) stock market by examine Global Macro Shocks (proxyed by Brent oil price); Cross-Market Linkages (proxied by Dow Jones Index); and Economic Fundamental (proxied by exchange rate) as the sources of volatility. This paper utilizing VAR and asymmetric GARCH (1,1)-BEKK model using the daily data between 4 January 2012 and 30 June 2017. The result shows that all independent variables have a significant volatility transmission to every ASEAN-5 stock market. Then in order to capture the different volatility transmission pattern, we divided the data into two periods which are “high-oil price” era and “low-oil price” era. Besides the different rate of volatility, we also find a different pattern of volatility transmission at Malaysia stock market (KLCI); Thailand stock market (SETI); and at Philippines stock market (PSEI) between these two eras.

What Direction for Oil Prices

Abstract: The price of crude oil goes up and up -most recently driven by hurricane Katrina, which had a catastrophic effect on the US oil industry, and was followed by hurricane Rita. In September 2005 the price of Brent crude reached a new record at US $ 66 per barrel. The agreement by member states of the International Energy Agency (IEA) to release crude oil and petroleum products from their strategic reserves has brought prices down again slightly, but it is very questionable whether this will calm the upward drive for long. Crude oil prices have been rising continuously since 2003, largely as a result of increased demand, particularly from China. The high level of capacity utilization in oil extraction creates risks that are reflected in rising prices on the forward markets. The rise in oil prices since 2003 is around US $ 30 per barrel, and this is probably mainly due to short-term effects and resultant speculative buying. In view of the high stocks of oil the current prices do seem excessive. Sooner or later they will normalize on a lower level, but in the long term higher prices for oil than the average of recent decades must be expected. Model simulations up to the year 2025 show that in a scenario of adequate resources real oil prices (price base 2000) of between US $ 30 and US $ 40 per barrel are to be expected. In a scenario of more limited resources, however, prices could rise to just under US $ 80 per barrel in real terms, which is up to US $ 160 nominally.

Анализ развития нефтегазового сектора в современных условиях

Abstract: Purpose of the study. This study examines the state of companies of oil sector based on the analysis of dynamics and relationship between basic financial indicators, characterizing the activities of oil companies; it identifies factors affecting the companies’ efficiency, such as return on sales (ROS) and productivity. The work is based on dynamic, structural, correlation analysis of analytical and statistical information on processes occurring in this area of economic activity. Materials and methods. Statistical data and analytical information on oil sector companies serve as the information base of this study. Statistical methods of information analysis (comparative analysis, analysis of time series, correlation, and regression analysis) represent the methodological base of research. Results. The authors analyzed the development trends of the global and Russian oil and gas sectors. The last two decades have been marked by changes in the global oil market that were caused by fluctuations in the price of oil and oil products and with the rise and fall in the price of Brent crude oil per barrel. The paper considers dynamics of financial indicators of Russian oil companies. An analysis of the data on the revenue of the largest Russian companies in ruble and dollar terms over the last 10 years has revealed a significant difference in the dynamics of these indicators. The authors performed ROS and oil price profitability correlation as well as correlation between the price of oil, the exchange rate and the profitability of oil companies. Conclusion. The oil and gas industry is an essential sector of the economy that heavily promotes to the socio-economic development of our country. Revenues of the oil and gas sector contribute to the Russian GDP and are a major component of the budget. There are two ways to calculate revenue of oil companies – in ruble (dollar terms) and impact of RUB/USD exchange rate. The sharp changes in the exchange rate of the last decade have advanced significant changes in the revenue of Russian oil companies. In this study, the total revenue (in dollar terms) was calculated as the ratio of revenue in rubles to the average annual exchange rate of the corresponding period. In general, the disastrous results of 2015 and 2016 led to a decrease in the average growth rates of dollar and ruble revenue, as well as profit and profitability. The authors performed a correlation analysis of return on sales and oil prices, which revealed an almost total absence of correlation between these indicators. Oil prices and exchange rates have a negligible effect on the profitability of oil companies. An inverse correlation is observed between the RUB/USD pair and the oil price per barrel. It is concluded that the cost of oil and the exchange rate have little effect on the profitability of oil companies. Since the oil and gas complex makes a very significant contribution to the development of the country’s economy, it is advisable to analyze its development trends on a regular basis. Based on the results of the economic and statistical analysis of financial indicators, it is possible to identify the main development directions of the oil and gas industry, evaluate positive and negative processes, and determine further prospects.

Analysis of the Causality Relationship between Brent Crude Oil Prices and Energy Import in Turkey Under Structural Breaks

Abstract: Turkey, struggling with the problem of high current account deficit, is an energy dependent country due to lack of oil reserves. Therefore, the changes in energy prices do have impacts on balance of payments through import channel. Considering that energy imports constitutes the biggest share of current account deficit, it is expected that the rise in oil prices will increase the imports upwards. The purpose of this study is to analyze the causality relationship from Brent crude oil prices to energy import by using the monthly data in the period of 2006:08-2018:12. The unit root properties of the series are tested by using Fourier KPSS (2006) unit root test and the causality relationship between the series is investigated by employing Fourier Granger (2016) causality test. Both these tests take into account the impact of multiple structural breaks. The results indicate that there is a causality relationship from Brent crude oil prices to energy import in Turkey in the relevant period.

Short- and Long-Term Relations among Prices of the Mexican Crude Oil Blend, West Texas Intermediate, and Brent: Market Trend and Risk Premia, 2005-2016

Abstract: This paper uses a Vector Error Correction Model (VECM) to obtain the decomposition in permanent and transient components of prices of the Mexican Crude Oil Blend, the West Texas Intermediate (WTI) oil, and the Brent oil of the North Sea. Moreover, Granger causality tests, impulse-response analysis, and variance decomposition are carried out. The main findings are: 1) there are long-term relationships among these oil prices, 2) Brent oil mainly sets the market trend for the Mexican Crude Oil Blend, and 3) the yield-risk analysis shows that the Mexican crude oil blend offers the highest average yield and Brent provides the highest average risk premium. Keywords: Oil prices; econometric modeling, yield-risk analysis JEL Classifications: Q41, C51, G83