Yerzhan Tokbolat
Covid-19: Corporate diversification and post-crash returns
Tokbolat, Yerzhan; Le, Hang
Abstract
This paper examines the impact of corporate diversification on stock returns during and after the market crash caused by Covid-19. Using regression and survival analyses, we find that diversified firms experience worse returns and slower improvement in stock prices than focused firms. However, diversified firms trading at diversification premium have better returns and faster recovery compared to those trading at discount. Our findings presented here can be relevant to academics and industry professionals in their understanding of the role of corporate diversification in difficult times.
Citation
Tokbolat, Y., & Le, H. (2022). Covid-19: Corporate diversification and post-crash returns. Finance Research Letters, 46(Part B), Article 102501. https://doi.org/10.1016/j.frl.2021.102501
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 14, 2021 |
Online Publication Date | Oct 16, 2021 |
Publication Date | 2022-05 |
Deposit Date | Mar 1, 2022 |
Publicly Available Date | Oct 17, 2022 |
Journal | Finance Research Letters |
Print ISSN | 1544-6123 |
Electronic ISSN | 1544-6123 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 46 |
Issue | Part B |
Article Number | 102501 |
DOI | https://doi.org/10.1016/j.frl.2021.102501 |
Public URL | https://nottingham-repository.worktribe.com/output/7530777 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S1544612321004761?via%3Dihub |
Files
17941 Hang Le
(419 Kb)
PDF
You might also like
Herding with leading traders: Evidence from a laboratory social trading platform
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search