Impact of COVID-19 Attention on Pharmaceutical Stock Prices Based on Internet Search Data
Based on Baidu Index, 223 pharmaceutical stocks selected from the CSI 300 index from November 1, 2019 to June 8, 2020 were selected as research samples. Fama-French three-factor model and panel regression analysis were adopted to study the impact of investors’ attention to COVID-19 on the pharmaceut...
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| Published in | Big Data Analytics for Cyber-Physical System in Smart City Vol. 1303; pp. 1213 - 1220 |
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| Main Authors | , |
| Format | Book Chapter |
| Language | English |
| Published |
Singapore
Springer
2021
Springer Singapore |
| Series | Advances in Intelligent Systems and Computing |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9789813345737 981334573X |
| ISSN | 2194-5357 2194-5365 |
| DOI | 10.1007/978-981-33-4572-0_174 |
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| Summary: | Based on Baidu Index, 223 pharmaceutical stocks selected from the CSI 300 index from November 1, 2019 to June 8, 2020 were selected as research samples. Fama-French three-factor model and panel regression analysis were adopted to study the impact of investors’ attention to COVID-19 on the pharmaceutical stock market. Based on the three-factor model, this study explained the impact of investors’ increasing concern about the epidemic on the medical stock market from three dependent variables of return rate, trading volume and amplitude. The results show that investors’ attention to COVID-19 has a significant positive impact on the return, volume and amplitude of the pharmaceutical stock market during the same period. |
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| ISBN: | 9789813345737 981334573X |
| ISSN: | 2194-5357 2194-5365 |
| DOI: | 10.1007/978-981-33-4572-0_174 |