The footprints of Russia–Ukraine war on the intraday (in)efficiency of energy markets: a multifractal analysis

IF 5.7 Q1 BUSINESS, FINANCE
Faheem Aslam, Skander Slim, M. Osman, Ibrahim Tabche
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引用次数: 7

Abstract

PurposeThis paper examines the impact of Russian invasion of Ukraine on the intraday efficiency of four major energy markets, namely, diesel oil, Brent oil, light oil and natural gas.Design/methodology/approachThis study applies the multifractal detrended fluctuation analysis (MFDFA) to high-frequency returns (30-min intervals) for the period from October 21, 2021, to May 20, 2022. The data sample of 5,141 observations is divided into two sub-samples, before and after the invasion of 24th February 2022. Additionally, the magnitude of long memory index is employed to investigate the presence of herding behavior around the invasion period.FindingsResults confirm the presence of multifractality in energy markets and reveal significant changes of multifractal strength due to the invasion, indicating a decline of intraday efficiency for oil markets. Surprisingly, the natural gas market, being the least efficient before the invasion, turns out to be more efficient after the invasion. The findings also suggest that investors in these energy markets are likely to show herding, more prominently after the invasion.Practical implicationsThe multifractal patterns, in particular the long memory property of energy markets, can help investors develop profitable investment strategies. Furthermore, the improved efficiency observed in the natural gas market, after the invasion, highlights its unique traits and underlying complexity.Originality/valueThis study is the first attempt to assess the impact of the Russia–Ukraine war on the efficiency of global commodity markets. This is quite important because the adverse effects of the war on financial markets may potentially cause destabilizing outcomes and negative effects on social welfare on a global scale.
俄乌战争对能源市场盘中效率的影响:多重分形分析
目的研究俄罗斯入侵乌克兰对柴油、布伦特油、轻质油和天然气四大能源市场日内效率的影响。设计/方法/方法本研究将多重分形去趋势波动分析(MFDFA)应用于2021年10月21日至2022年5月20日期间的高频回报(30分钟间隔)。5141次观测的数据样本分为2022年2月24日入侵前后的两个子样本。此外,利用长记忆指数的大小来研究入侵期前后羊群行为的存在。发现结果证实了能源市场存在多重分形,并揭示了由于入侵导致的多重分形强度的显著变化,表明石油市场的日内效率下降。令人惊讶的是,入侵前效率最低的天然气市场在入侵后效率更高。调查结果还表明,这些能源市场的投资者可能表现出羊群效应,在入侵后表现得更为突出。实际含义多重分形模式,特别是能源市场的长记忆特性,可以帮助投资者制定有利可图的投资策略。此外,入侵后天然气市场效率的提高凸显了其独特性和潜在的复杂性。原创性/价值本研究首次尝试评估俄乌战争对全球商品市场效率的影响。这一点非常重要,因为战争对金融市场的不利影响可能会在全球范围内造成不稳定的结果和对社会福利的负面影响。
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来源期刊
Journal of Risk Finance
Journal of Risk Finance BUSINESS, FINANCE-
CiteScore
6.20
自引率
6.70%
发文量
37
期刊介绍: The Journal of Risk Finance provides a rigorous forum for the publication of high quality peer-reviewed theoretical and empirical research articles, by both academic and industry experts, related to financial risks and risk management. Articles, including review articles, empirical and conceptual, which display thoughtful, accurate research and be rigorous in all regards, are most welcome on the following topics: -Securitization; derivatives and structured financial products -Financial risk management -Regulation of risk management -Risk and corporate governance -Liability management -Systemic risk -Cryptocurrency and risk management -Credit arbitrage methods -Corporate social responsibility and risk management -Enterprise risk management -FinTech and risk -Insurtech -Regtech -Blockchain and risk -Climate change and risk
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