Evaluating the Impact of the Pandemic on the US Agriculture Industry based on Fama-French 5-factor Pricing Model
- DOI
- 10.2991/978-94-6463-441-9_5How to use a DOI?
- Keywords
- Covid-19; Fama-French; US Agriculture
- Abstract
Covid-19 has unprecedentedly influenced industries in the global area, and this paper studies the significance of Covid-19 in impacting the agriculture industry in the USA. The paper collects data from Kenneth. French-Data library dividing the data into four stages, and the Fama-French 5-factor pricing model involves the process of data analysis. According to the result obtained from the multiple linear regression, the coefficient of market risk remained significant throughout the period observed, the coefficient of SMB turned out insignificant after the pandemic, the coefficient of HML only remained significant at the point of breakout and during the pandemic, the coefficient of RMW remained in insignificance all the time, and the coefficient of CMA turned out insignificance since the breakout of Covid-19. Therefore, Covid-19 did not significantly influence the agriculture industry in the USA.
- Copyright
- © 2024 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 - Da Wei PY - 2024 DA - 2024/06/21 TI - Evaluating the Impact of the Pandemic on the US Agriculture Industry based on Fama-French 5-factor Pricing Model BT - Proceedings of the 2023 International Conference on Economic Management,Financial Innovation and Public Service (EMFIPS 2023) PB - Atlantis Press SP - 40 EP - 49 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-441-9_5 DO - 10.2991/978-94-6463-441-9_5 ID - Wei2024 ER -