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dc.contributor.author
Nanaj, Aleksandros
en
dc.date.accessioned
2020-06-15T10:50:25Z
dc.date.available
2020-06-16T00:00:35Z
dc.date.issued
2020-06-15
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29599
dc.rights
Default License
dc.subject
Huawei
en
dc.title
Huawei blacklist: Τhe effect on the USA technology sector
en
heal.type
masterThesis
en_US
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Energy Management
en_US
heal.publicationDate
2019-12-12
heal.abstract
This dissertation was written as a part of the MSc in Energy & Finance at the International Hellenic University. Tweets of President Donald Trump are related to his mood and sentiment on time, affecting market expectations, just like the one announcing to the public the effective ban of Huawei from selling in the United States market and acquiring technology from American corporations. The purpose of this study is to investigate the impact of baring Huawei from the American market in the American technology sector, with a specific focus on the 21 suppliers of the Chinese tech giant, utilizing event study methodology and daily data to test for significant effect from the actions taken against Huawei on 15 of May 2019. Results support the hypothesis of a clear exogenous event with the market fully unaware of the intuitions before it, followed with negative abnormal returns in the short term and linear relationship between exposed individual firm revenues and price return. Aggregating the abnormal returns and examining the cumulative abnormal return, results indicate a strong negative market reaction for several days. Whereas the day ceasing the effective ban, the most exposed suppliers in real monetary values, suffered from significantly negative abnormal returns. Lastly, an abnormal volatility study proves an explosion in risk the day following the event. This is important to investors and market participants since an unexpected political and economic event may have severe effects, while one may put the episode in the series of Sino-American trade war actions. Aleksandros Nanaj December 2019 This dissertation was written as a part of the MSc in Energy & Finance at the International Hellenic University. Tweets of President Donald Trump are related to his mood and sentiment on time, affecting market expectations, just like the one announcing to the public the effective ban of Huawei from selling in the United States market and acquiring technology from American corporations. The purpose of this study is to investigate the impact of baring Huawei from the American market in the American technology sector, with a specific focus on the 21 suppliers of the Chinese tech giant, utilizing event study methodology and daily data to test for significant effect from the actions taken against Huawei on 15 of May 2019. Results support the hypothesis of a clear exogenous event with the market fully unaware of the intuitions before it, followed with negative abnormal returns in the short term and linear relationship between exposed individual firm revenues and price return. Aggregating the abnormal returns and examining the cumulative abnormal return, results indicate a strong negative market reaction for several days. Whereas the day ceasing the effective ban, the most exposed suppliers in real monetary values, suffered from significantly negative abnormal returns. Lastly, an abnormal volatility study proves an explosion in risk the day following the event. This is important to investors and market participants since an unexpected political and economic event may have severe effects, while one may put the episode in the series of Sino-American trade war actions. Aleksandros Nanaj December 2019
en
heal.advisorName
Panagiotidis, Theodore
en
heal.committeeMemberName
Christopoulou, Reveka
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


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