The price of war: Effect of the Russia-Ukraine war on the global financial market

Q1 Economics, Econometrics and Finance
Rima Assaf , Deeksha Gupta , Rahul Kumar
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Abstract

We investigate the effect of the ongoing war between Russia-Ukraine on the global financial market as financial market is sensitive to extreme events and related news. In addition, we are examining the magnitude of war effect on different country groups. Taking the event of a Russian attack on Ukraine, we use the event study method to examine the price impacts of the Russia-Ukraine war 2022 on the global stock market. In addition, we examine the cross-sectional variation in abnormal returns using country-specific variables. Further, we conduct a robustness check to validate the main results for the cross-sectional variation. We find that stock indices show the negative AARs and CAARs after the announcement of the invasion. However, the magnitude of negative return varies for different regions. The developed countries experienced more negative price reactions than emerging countries. In addition, EMEA (Europe, Middle East, and Africa) is the most affected area on a geographical division basis, whereas the American division does not show significant price reactions. Further, countries with higher GDP experienced less sell-off in their indices. We also find that the trade-to-GDP ratio negatively impacts the abnormal returns in the post-event window, indicating that countries with more percentage of the trade in their GDP have been affected to a greater extent.

战争的代价:俄乌战争对全球金融市场的影响
由于金融市场对极端事件和相关新闻敏感,我们研究了俄罗斯与乌克兰之间正在进行的战争对全球金融市场的影响。此外,我们正在研究战争对不同国家群体的影响程度。以俄罗斯攻击乌克兰事件为例,运用事件研究方法,考察2022年俄乌战争对全球股市的价格影响。此外,我们使用国家特定变量检验了异常收益的横截面变化。此外,我们进行了稳健性检查,以验证横截面变化的主要结果。我们发现,在宣布入侵后,股票指数呈现负的aar和caar。然而,负收益的大小因地区而异。发达国家比新兴国家经历了更多的负面价格反应。此外,EMEA(欧洲、中东和非洲)是受影响最严重的地区,而美国地区则没有明显的价格反应。此外,GDP较高的国家在其指数中遭遇的抛售较少。我们还发现,贸易与GDP之比对事件后窗口的异常收益有负向影响,表明贸易占GDP比重越大的国家受到的影响越大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Economic Asymmetries
Journal of Economic Asymmetries Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
4.80
自引率
0.00%
发文量
42
审稿时长
50 days
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