Items covered in the project:
- Data acquisition and cleaning
- Visual analysis of fluctuation of each variable with time
- Visual analysis of market fluctuation with time
- Checking Correlation of market data with Macroeconomic announcement variables using Pearson's Correlation test
- Sub-setting data by Macroeconomic announcement event into individual DataFrames
- Created and ran a function which runs Linear multiple regression on each individual DataFrames to check and see if some announcements have more impact than others
Tools used:
- R - dplyr, ggplot2, lubridate, flextable, magrittr
Other tools used:
- Markdown
- LaTeX
© 2025 • All content within this project is strictly the property of Aadith Kumar and is not for public use without permission.
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