Economic Policy Uncertainty and Sectoral Trading Volume in the US Stock Market: Evidence from the COVID-19 Crisis

被引:5
|
作者
Pak, Dohyun [1 ]
Choi, Sun-Yong [1 ]
机构
[1] Gachon Univ, Dept Financial Math, Gyeonggi 13120, South Korea
基金
新加坡国家研究基金会;
关键词
DETRENDED FLUCTUATION ANALYSIS; INFORMATION-FLOW; LONG MEMORY; TIME-SERIES; VOLATILITY; PRICE; OIL; LIQUIDITY; RETURNS; ENTROPY;
D O I
10.1155/2022/2248731
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We empirically analyze the impact of economic uncertainty due to the COVID-19 pandemic on the trading volume of each sector in the S&P 500 index. Wavelet coherence analysis is carried out using economic policy uncertainty data and the trading volume of each sector in the S&P 500 index from July 2004 to September 2020. Furthermore, we apply multifractal detrended fluctuation (MF-DFA) analysis to the trading volume series of all sectors. The wavelet coherence analysis shows that the COVID-19 pandemic has substantially influenced trading volume in all sectors. However, the impact of the pandemic is different from that during the global financial crisis in some sectors, such as information technology, consumer discretionary, and communication services. Because of the lockdown taken to suppress COVID-19, increased remote working and remote learning are the main reasons for these results. Additionally, according to the MF-DFA analysis, the trading volume of all the sectors has clear multifractal characteristics, and they are all nonpersistent. Specifically, trading volumes of the real estate and materials sector are highly correlated, whereas the trading volumes of industry and information technology sectors are comparatively less correlated.
引用
收藏
页数:15
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