Bachelorarbeit, 2019
53 Seiten, Note: 1.3
This paper analyzes the impact of U.S. President Donald Trump's Twitter activity on international stock markets, specifically during the US-China trade war. By employing the event study methodology, the paper aims to understand how these tweets affect the S&P 500, the Hang Seng Index, and the DAX.
The introduction provides an overview of the research question and its relevance in the context of a digitalized world, where the actions of high-ranking officials can have significant implications. Chapter 2 reviews existing literature on financial markets' reaction to new information and the impact of macroeconomic announcements on the U.S. stock market.
Chapter 3 delves into the event study methodology. It describes the context of the US-China trade war, outlining the conflict's origins and the development of imposed tariffs. The chapter then outlines the methodology's theoretical framework, including assumptions, event definition, selection criteria, event windows, and the calculation of abnormal returns. Finally, it presents the data description used in the analysis.
Chapter 4 discusses the findings of the study, analyzing the impact of Trump's tweets on stock market valuations both across markets and on a country level, examining the responses of the S&P 500, the Hang Seng Index, and the DAX.
This paper focuses on the impact of political communication, particularly through Twitter, on global stock markets, specifically examining the US-China trade war and its implications for the S&P 500, the Hang Seng Index, and the DAX. The research utilizes event study methodology, analyzing market reactions to new information and focusing on concepts like abnormal returns, market sentiment, and the role of social media in shaping investment decisions.
The study shows significant market reactions, both positive and negative, especially in the context of the US-China trade war, affecting indices like the HSI and DAX.
The Chinese Hang Seng Index (HSI) showed highly significant reactions, while the U.S. American S&P 500 showed the least responsiveness among the examined markets.
The paper utilizes the event study methodology, which calculates abnormal returns within specific event windows following the publication of select tweets.
The results suggest a fairly rapid processing of new information, leading to quick price adjustments following the presidential microblogging announcements.
The study analyzed ten short messages posted during the US-China trade dispute, focusing on topics like trade deficits, intellectual property theft, and mutual tariffs.
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