Covid-19 pandemic and spillover effects in stock markets: A financial network approach

被引:73
|
作者
Samitas, Aristeidis [1 ]
Kampouris, Elias [2 ]
Polyzos, Stathis [1 ]
机构
[1] Zayed Univ, Coll Business, POB 144534, Abu Dhabi, U Arab Emirates
[2] Abu Dhabi Univ, Coll Business, POB 1790, Abu Dhabi, U Arab Emirates
关键词
COVID-19; Spillover effect; Dependence dynamics; Social network; Centralities; HIERARCHICAL STRUCTURE; EQUITY MARKETS; EXCHANGE-RATES; CONTAGION; INTERDEPENDENCE; VOLATILITY; EVOLUTION; DYNAMICS; CRISIS; RISK;
D O I
10.1016/j.irfa.2021.102005
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper examines the impact of the COVID-19 pandemic on 51 major stock markets, both emerging and developed. We isolated the countries susceptible to shock transmissions, and evaluated countries with immunity, during the lockdown. Specifically, using dependence dynamics and network analysis on a bivariate basis, we identify volatility and contagion risk among stock markets during the COVID-19 pandemic. The empirical findings add to the existing body of literature, given that previous work has not placed emphasis on network topologic metrics when it comes to financial networks, specifically during the COVID-19. The evidence shows instant financial contagion a result of the lockdown and the spread of the novel coronavirus. The methodological framework outlines important information for investors and policymakers on using financial networks to improve portfolio selection, by placing an emphasis on assets according to centrality.
引用
收藏
页数:14
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