Study on the Applicability of the Fama-French Three-factor Model and Five-factor Model to the American Biopharmaceutical Industry during the COVID-19 Period
- DOI
- 10.2991/aebmr.k.220307.093How to use a DOI?
- Keywords
- American biopharmaceutical industry; Fama-French three-factor model; Fama-French five-factor model; multiple regression analysis
- Abstract
At the end of 2019, a huge black swan, COVID-19, came and erupted in 2020. Both our daily life and investment activities are more or less affected by COVID-19, which is a new opportunity and challenge for the biopharmaceutical industry. In order to analyse the current situation of the American biopharmaceutical industry during the COVID-19 period and promote the development of the financial market, the author studied three biopharmaceutical industry funds, selected the data from January 2020 to September 2021, and introduced the three-factor model and the five-factor model to carry out multiple regression analysis. The results show that during the sample period, both the three-factor model and the five-factor model have strong applicability to the stocks of the American biopharmaceutical industry, which means that all five factors have a strong ability to explain the changes in stock returns of this industry. In addition, the five-factor model has a higher positive correlation and fitting degree for the three funds.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Zipei Wang PY - 2022 DA - 2022/03/26 TI - Study on the Applicability of the Fama-French Three-factor Model and Five-factor Model to the American Biopharmaceutical Industry during the COVID-19 Period BT - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022) PB - Atlantis Press SP - 576 EP - 580 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220307.093 DO - 10.2991/aebmr.k.220307.093 ID - Wang2022 ER -