Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/334312 
Year of Publication: 
2024
Citation: 
[Journal:] Agora International Journal of Economical Sciences (AIJES) [ISSN:] 2067-7669 [Volume:] 18 [Issue:] 2 [Year:] 2024 [Pages:] 356-374
Publisher: 
Agora University Press, Oradea, Romania
Abstract: 
This study investigates the impact of Verizon Communications Inc.'s acquisition of Yahoo on the company's stock performance, using a combination of statistical, visual, and multiscale analytical methods. The research analyzes how strategic corporate decisions, particularly acquisitions, influence short-term and long-term stock behavior. Data spanning from 2014 to 2024 was analyzed to capture pre-acquisition, acquisition, and post-acquisition trends. The methodology integrates boxplot visualizations to explore variability and outliers, quantile analysis to assess distributional characteristics, and descriptive statistics to summarize key metrics such as mean, standard deviation, skewness, and kurtosis. Tabulation analysis evaluates associations between stock returns and trading volumes, while wavelet analysis decomposes stock returns into multiple time scales to identify short-term fluctuations and long-term trends. Results reveal significant volatility during key events, such as the Yahoo acquisition in 2017 and the COVID-19 pandemic, with daily fluctuations peaking at ±6. Medium-term adjustments (4-8 days) exhibited moderate changes, and long-term trends (32-day cycles) showed structural shifts, including positive coefficients in 2017 (+0.5) and negative coefficients in 2020 (-0.6). The research highlights the heavy-tailed nature of return distributions and skewed trading volume patterns. This study provides insights into the multifaceted effects of acquisitions on stock performance, offering valuable implications for investors and corporate managers in optimizing strategic decisions.
Subjects: 
mergers and acquisitions
stock prices
market reactions
corporate strategy
event study
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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