Skip to content

The project examines various statistical time series forecasting methods using historical financial markets data.

Notifications You must be signed in to change notification settings

kuntojirohan/statistical-timeseries-forecasting

Repository files navigation

statistical-timeseries-forecasting

The project examines various statistical time series forecasting methods using historical financial markets data. In particular, we have considered the S&P 500 Stock Index and the Bloomberg Barclays US Aggregate Bond Index.

Running the Forecasting Analysis Script

  • Open a terminal (Command Prompt on Windows or Terminal on macOS/Linux) and navigate to the directory containing the script.

  • Install the required libraries and dependencies from requirements.txt by running the following command in your terminal: pip install -r requirements.txt

  • To run the script with the rolling method and a window size of 240, use the following command: python main.py --method rolling --window 240

  • Alternatively, to run the script with the recursive method, use the following command: python main.py --method recursive

About

The project examines various statistical time series forecasting methods using historical financial markets data.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published