This study explores the critical realm of forecasting oil prices within the global energy resources market. The research is particularly timely as it provides new insights into the future growth prospects of Brent crude oil prices, which are increasingly influenced by the indicators of the monetary policy set forth by the USA Federal Reserve. The primary objective of this scientific endeavor is to predict Brent crude oil prices in response to shifts in the indicators of the US Federal Reserve's monetary policy. To fulfill this objective, the study systematically tackled several key tasks. These tasks encompassed a thorough examination of the theoretical foundations underpinning oil price forecasting, the meticulous compilation of statistical data related to the target indicators, and the application of specialized economic methodologies. Mul[1]tiple linear regression equations were formulated to establish the relationship be[1]tween Brent crude oil prices and the indicators of the US Federal Reserve's monetary policy. Furthermore, the study ventured into the prediction of these Federal Reserve indicators and arrived at substantive conclusions. The research methodology employed a range of general and specialized scientific techniques, encompassing analysis, synthesis, and statistical analysis. Notably, the scientific innovation of this study lies in the construction of multiple linear regres[1]sion equations to forecast Brent crude oil prices, hinging on key indicators of the USA Federal Reserve's monetary policy, including the effective federal funds rate, the M2 monetary aggregate, the US dollar index, the core personal consumption expenditure price index, and the US unemployment rate. Additionally, this study cal[1]culated an increasing trend equation for the M2 monetary aggregate in the United States. The practical implications of this research are profound, offering valuable insights for investors looking to craft effective trading strategies within the global energy resources market.
Read full abstract