Comparative Analysis of Differences of American Pharmaceutical Stocks Before and After the Epidemic
- DOI
- 10.2991/978-94-6463-036-7_35How to use a DOI?
- Keywords
- Machine learning; Stock price; Epidemic impact; Feature classification
- Abstract
This research adopts the data of American medical stocks in the recent ten years from Yahoo Finance and compares and analyzes the data before and after the epidemic. Try to analyze whether the epidemic has had a great impact on the stock price trend of American medical stocks. The machine learning models predict the amount of price-rising days of stock in the epidemic stage, compared with the price trend before the epidemic. Judging whether the epidemic has significantly reduced the price-rising days of medicine stocks in the United States. By regressing the data of the price movement, we can judge whether the epidemic has had a great impact on the stock price trend. And try to pay attention to whether there is a significant gap between the stock prices of vaccine-producing companies and non-vaccine-producing companies under the influence of the epidemic.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Shicheng Zhao PY - 2022 DA - 2022/12/31 TI - Comparative Analysis of Differences of American Pharmaceutical Stocks Before and After the Epidemic BT - Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022) PB - Atlantis Press SP - 238 EP - 244 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-036-7_35 DO - 10.2991/978-94-6463-036-7_35 ID - Zhao2022 ER -