Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12540/738
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Cheng, I-Wei | en_US |
dc.contributor.author | He, Tong | en_US |
dc.date.accessioned | 2022-09-28T07:35:20Z | - |
dc.date.available | 2022-09-28T07:35:20Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | He, T. (2022). Comparison of The Impact of Monetary Policies on Financial Markets between China and US during COVID-19 [Unpublished bachelor's thesis]. Wenzhou-Kean University. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12540/738 | - |
dc.description.abstract | Given the fact about the outbreak of COVID-19 in 2020, COVID-19 has significantly influenced our daily life and production. As a collaborative integration in the tourism industries. The airline, hotel, and travel industries are among the industries that are most seriously affected by the epidemic. This paper aims to find out the influence of COVID-19 on the return of the daily stock price of these three industries. The abnormal returns are used to estimate the impact of the epidemic on the stocks’ daily returns. This study also relates other vital variables that can influence the value of a firm with the cumulative abnormal return of the three industries by cross-sectional regression. The results of the study reveal the negative impact of the emerging crisis. It confirms that China’s stock market remained relatively stable. The impact of COVID-19 was not so significant in comparison with many countries. | en_US |
dc.format.extent | 26 pages | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | - |
dc.subject.lcsh | COVID-19 | en_US |
dc.subject.lcsh | Airline Industry | en_US |
dc.subject.lcsh | Hotel Industry | en_US |
dc.subject.lcsh | Travel Industry | en_US |
dc.title | Comparison of The Impact of Monetary Policies on Financial Markets between China and US during COVID-19 | en_US |
dc.type | Thesis | en_US |
dc.rights.license | Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) | en_US |
wku.group | College of Business and Public Management | en_US |
wku.identifier.studentID | 1098270 | en_US |
dc.subject.keywords | Event Study | en_US |
dc.subject.keywords | Cross-sectional Regression | en_US |
wku.thesis.degree | Bachelor of Science | en_US |
wku.degree.discipline | Finance | en_US |
wku.degree.grantor | Wenzhou-Kean University | en_US |
Appears in Collections: | Theses and Dissertations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
wku_etd001_cbpm01_000640.pdf | 722.73 kB | Adobe PDF | View/Open |
Page view(s)
47
checked on Apr 19, 2024
Download(s)
56
checked on Apr 19, 2024
Google ScholarTM
Check
This item is licensed under a Creative Commons License