A Study of the Impact of Covid-19 in Medical-Related Industries Using Fama-French Five-Factor Method
- DOI
- 10.2991/978-94-6463-198-2_143How to use a DOI?
- Keywords
- Finance; Equities; Covid-19; Fama-French Model
- Abstract
Since the outbreak of Covid-19, the stock market has suffered from the unstable lash. This article focuses on the impact of Covid-19 on the stock market of the Healthcare industry, Medical Equipment industry, and Pharmaceutical Products industry. 172 trading days in each part of Covid-19 are selected to make regression analysis and the Fama-French Five-factor model is adopted to measure the sensitivity of stock returns. The emphasis of the article is to discuss the changes in five factors caused by Covid-19 and propose a reasonable stock-picking strategy. Caused by Covid-19, the coefficients and significance levels in three industries fluctuate. The results indicate that in different industries, investors should attach importance to different types of stock portfolios. A hedging strategy is suitable in every medical-related industry. Meanwhile, investors should pay attention to the portfolios of different investment rates in the Healthcare industry, the profitability in the Medical Equipment industry, and the stocks which have different book value and market value in the Pharmaceutical Products industry.
- Copyright
- © 2023 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 - Jinyan Chen PY - 2023 DA - 2023/08/10 TI - A Study of the Impact of Covid-19 in Medical-Related Industries Using Fama-French Five-Factor Method BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 1370 EP - 1377 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_143 DO - 10.2991/978-94-6463-198-2_143 ID - Chen2023 ER -