大流行冲击下俄罗斯经济的部门间传染效应

M. Malkina, R. Balakin
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摘要

目标:确定2020-2021年大流行期间俄罗斯经济各部门之间是否存在金融传染。方法:研究基于2019年1月1日至2022年2月23日俄罗斯交易系统六个行业指数的盘间日均盈利能力数据。通过计算俄罗斯贸易体系平均行业指数的滑动变异系数和冠状病毒感染的滑动增长率,确定了三个大流行冲击时期:短期(大流行的急性期)、中期(涵盖第一波和第二波感染)和长期(直到俄罗斯宣布在乌克兰的特别军事行动)。通过分析三个分布点:经异方差调整的相关系数(Forbes-Rigobon检验)、分布的共不对称检验和共峰度检验,在加强行业资产盈利能力之间关系的基础上,确定了行业间污染。结果:获得了大流行期间俄罗斯经济部门之间金融传染的规模和方向的估计。首先,它们表明中期和长期部门间传染的确诊病例有所增加,这表明该流行病有“长期痕迹”。其次,越靠近高分布点,感染人数越多。第三,与预期相反,俄罗斯经济的主要部门(冶金和石油工业)在大流行期间与俄罗斯经济的其他部门联系最少。电信行业表现出最大的传染倾向。关于消费领域和贸易最容易受到传染的结论是相当意料之中的。科学新颖性:首次获得了大流行期间俄罗斯经济部门间金融传染的估计,这表明大流行既有短期影响,也有长期影响,以及经济数字化下某些行业(特别是电信业)在传染方面的作用得到加强。实际意义:获得的数据可用于在大流行危机期间管理个别行业的金融稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intersectoral contagion effects in the Russian economy under the pandemic shock
Objective: to identify the presence/absence of transmission of financial contagion between sectors of the Russian economy during the 2020-2021 pandemic.Methods: the study is based on data on the inter-sessional average daily profitability of six industry indices of the Russian trading system for the period from 01.01.2019 to 23.02.2022. Using the calculation of the sliding coefficient of variation for the average industry index of the Russian trading system and the sliding growth rate of coronavirus infection, three periods of pandemic shock were identified: short-term (acute phase of the pandemic), medium-term (covering the first and second waves of infection), and long-term (up to the announcement of the Russian special military operation in Ukraine). Intersectoral contamination was identified on the basis of strengthening the relationships between the profitability of industry assets by analyzing three distribution points: the correlation coefficient adjusted for heteroscedasticity (Forbes–Rigobon test), tests for co-asymmetry and co-kurtosis of the distribution.Results: estimates of the scale and direction of financial contagion between the Russian economic sectors during the pandemic were obtained. Firstly, they indicate an increase in confirmed cases of intersectoral contagion in the medium and long term, which indicates a “long-term trace” of the pandemic. Secondly, the number of contagions increases closer to higher distribution points. Thirdly, the main branches of the Russian economy (metallurgy and oil industry), contrary to expectations, turned out to be the least connected with other branches of the Russian economy during the pandemic. The telecommunications sector demonstrated the greatest propensity to transmit contagion. The conclusion about the consumer sphere and trade being the most exposed to contagion is rather expected.Scientific novelty: for the first time, estimates of intersectoral financial contagion for the Russian economy during the pandemic have been obtained, which indicate the presence of both short-term and long-term effects of the pandemic, as well as the strengthened role of certain industries (in particular, the telecommunications industry) in the transmission of contagion under the economy digitalization.Practical significance: the data obtained can be useful in managing the financial stability of individual industries during pandemic-type crises.
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