A data science project of M&A outcome prediction, and backtesting. The overall pipeline consists of:
- data processing,
- prediction model,
- backtesting.
The structure of the repository is:
MA_prediction
stores (quite a lot of) source codes, including data processing, market calender, CRSP helpers, ML modeling, backtesting, and more. It serves as a lightweight python package.data
contains all the raw, intermediate, processed data, and market data.notebooks
contains all the notebooks, and output figures.