fecon235
A collection of Jupyter notebooks for financial economics, providing high-level APIs to retrieve, analyze, and visualize economic data from sources like FRED.
What is fecon235?
fecon235 is a collection of Jupyter notebooks that provide an interface for financial economics to the Python ecosystem. It integrates packages like numpy, pandas, and statsmodels to retrieve, analyze, and visualize economic data from sources such as FRED and Quandl. The project solves the problem of low-level data handling pitfalls and enables reproducible research in financial economics.
Financial economists, data scientists, researchers, and students who need to analyze economic data using Python. It is particularly useful for those working with time-series data, econometrics, or portfolio analysis.
Developers choose fecon235 for its high-level APIs that simplify complex data retrieval and analysis tasks, its emphasis on reproducible research, and its extensive collection of ready-to-use notebooks covering various financial economics topics.
Overview
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Use Cases
Best For
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.