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Is the Stock Market Performance Vulnerable to the Russian-Ukrainian War? Evidence From the Twitter Sentiment Index
被引:0
作者:
Ren, Yi-Shuai
[1
,2
,3
,4
,5
]
Klein, Tony
[6
]
Huynh, Ngoc Quang Anh
[7
]
Liu, Xukang
[2
,3
,8
]
机构:
[1] Hunan Univ, Sch Publ Adm, Changsha, Peoples R China
[2] Hunan Univ, Key Lab High Performance Distributed Ledger Techno, Minist Educ, Changsha, Peoples R China
[3] Hunan Univ, Res Inst Digital Soc & Blockchain, Changsha, Peoples R China
[4] Hunan Univ, Ctr Resource & Environm Management, Changsha, Peoples R China
[5] Univ Auckland, Energy Ctr, Auckland, New Zealand
[6] Tech Univ Chemnitz, Fac Business & Econ, Chemnitz, Germany
[7] Univ Econ Ho Chi Minh City UEH Univ, Coll Technol & Design, Ho Chi Minh City, Vietnam
[8] Hunan Univ, Business Sch, Changsha, Peoples R China
关键词:
corporate decisions;
Russian-Ukrainian war;
stock liquidity;
stock market returns;
twitter investor sentiment;
CORPORATE SOCIAL-RESPONSIBILITY;
INVESTOR SENTIMENT;
RETURN;
INFORMATION;
VOLUME;
MEDIA;
VOLATILITY;
REPUTATION;
BOYCOTTS;
MODELS;
D O I:
10.1002/ijfe.3174
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
Utilising Twitter's daily negative investor sentiment index based on the Russian-Ukrainian war event, this study explores the impact of the investor sentiment index on company stock market returns and liquidity through a comprehensive analytical framework of panel regression and panel vector autoregression models. The results show that there is a negative correlation between the Twitter-based negative investor sentiment index and company stock returns, the direction of company stock inflows, and a positive correlation with stock trading volume; companies that do not respond to decisions promptly after the issuance of sanctions are more significantly affected by investor sentiment. Meanwhile, the findings of this study remain robust after using a system-generalised method of moments model to consider potential endogeneity and replacing the samples in different periods. Finally, the paper gives insights into the role of government agencies, investors and firms in facing major event shocks and predicting stock market performance.
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页数:28
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