FINA4350 - Finding the Correlation of FED Speeches and Predicting the FED Fund Rate Decision using NLP and Sentiment Analysis

1. Project Description

Blog Post can be checked out here: https://financiallinguists.wordpress.com/

Please refer to the post for a comprehensive understanding, project overview and analysis result.

2. Create the directories

Run the following in the terminal to create the directories:

mkdir data
mkdir FOMC MarketData LoughranMcDonald GloVe preprocessed models result
cd FOMC
mkdir statement minutes presconf_script meeting_script script_pdf speech testimony chair
cd ../MarketData
mkdir Quandl

Please refer to the above link for Data with all the files: link to Data!

3.Running the Files

1. Get data from FOMC Website by specifying which year.
   python FomcGetData.py all 1980
2. Get calendar from FOMC Website.
   python FomcGetCalendar.py 1980
3. Get data from Quandl. Specify the API Key and the date (yyyy-mm-dd).
   python QuandlGetData.py [the API Key] 1980-01-01
4. To Run Notebook
   1. Go to top directory
      cd ../src
   2. Open and run notebooks
      jupyter notebook