Effects of Fundamentals, Geopolitical Risk and Expectations Factors on Crude Oil Prices

Konstantinos Gkillas, Jeevananthan Manickavasagam, S. Visalakshmi
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引用次数: 8

Abstract

Though there are diverse factors that influence crude oil prices, we examine the degree of influence of factors, such as demand, supply, geopolitical and economic agents’ expectations. The main objectives of this study are the following: firstly, to determine the necessary factors that influence crude oil prices and secondly, the level of factors required to produce the specific level of outcome. Actually, the existing literature addresses the net impact of variables on crude oil price and in reality, no single combination can influence crude oil prices; thus, we set our final objective to find out the configurations of variables that impact crude oil prices. The first two objectives are addressed by using Necessary Condition Analysis and the final objective is met by using fuzzy set Qualitative Comparative Analysis (fsQCA). The results show that no variables were found necessary under fsQCA, but under NCA, all are considered as necessary variables with different effect sizes for crude oil price. fsQCA reveals eight equifinal pathways leading to higher crude oil price and a single pathway resulting in lower crude oil price. The findings suggest ways for traders, governments, corporates and analysts to consider the levels of independent variables that lead the Brent to trade in the market at higher or lower prices and to take decisions on the same.
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基本面、地缘政治风险和预期因素对原油价格的影响
虽然影响原油价格的因素多种多样,但我们考察了需求、供应、地缘政治和经济主体预期等因素的影响程度。本研究的主要目的是:首先,确定影响原油价格的必要因素,其次,产生特定水平的结果所需的因素水平。实际上,现有文献研究的是变量对原油价格的净影响,在现实中,没有单一的组合可以影响原油价格;因此,我们的最终目标是找出影响原油价格的变量配置。通过必要条件分析解决了前两个目标,并通过模糊集定性比较分析(fsQCA)实现了最终目标。结果表明,在fsQCA下没有发现必要变量,而在NCA下,所有变量都被认为是原油价格的必要变量,其效应大小不同。fsQCA揭示了导致原油价格上涨的8条等效路径和导致原油价格下跌的1条等效路径。这些发现为交易员、政府、企业和分析师提供了考虑导致布伦特原油在市场上以更高或更低价格交易的自变量水平的方法,并据此做出决策。
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