Chart: Summary Statistics: Baa/Aaa-Treasury Credit Spreads (1925-present)

Chart: Summary Statistics: Baa/Aaa-Treasury Credit Spreads (1925-present)#

Monthly Baa-Treasury and Aaa-Treasury credit spreads, with NBER recessions shaded.

Sources: FRED, Office of Financial Research

Both spread series from fred_final_series_monthly.parquet, plotted together. Recession shading uses the historical NBER indicator series.

Chart Name	Summary Statistics: Baa/Aaa-Treasury Credit Spreads (1925-present)
Chart ID	summary_statistics_credit_spreads
Tags	Summary Statistics, Credit Spread, Baa, Aaa, Fred
Data Series Start Date
Data Frequency	Monthly
Observation Period	Monthly average
Lag in Data Release
Data Release Timing
Seasonal Adjustment	Not Seasonally Adjusted
Units	Percentage Points
HTML Chart	HTML

Dataframe Name	FRED Processed Monthly Series
Dataframe ID	fred_processed_monthly_series
Sources	FRED, Office of Financial Research
Providers	FRED, Office of Financial Research
Provider Links	https://fred.stlouisfed.org/
Tags	Processed Data, Macroeconomic Data, Fred
Access Types	Public
How is data pulled?	Web API via Python `pandas_datareader.data.DataReader`
Data available up to (min)
Data available up to (max)
Dataframe Path	C:\Users\fraff\OneDrive\Documentos\UChicago\FINM_32900_Full_Stack_Quantitative_Finance\Project\p03_lopez_salido_stein_zakrajsek_2017_data\processed_data\fred_final_series_monthly.parquet

Linked Charts:

Pipeline Name	Credit-Market Sentiment and the Business Cycle
Pipeline ID	P01
Maintainer	Fernando Raffo, Bangjie Xu
Contributors	Fernando Raffo, Bangjie Xu
Repository	fernando-raffo/p03_lopez_salido_stein_zakrajsek_2017
Pipeline Web Page	Pipeline Web Page
Date of Last Code Update	2026-08-19 22:04:54
OS Compatibility	Windows, Linux, MacOS
Linked Dataframes	P01:fred_macroeconomic_variables P01:shiller_market_variables P01:greenwood_hanson_hys P01:mergent_fisd_bond_data P01:fred_processed_monthly_series P01:fred_processed_annual_series P01:shiller_processed_annual_series P01:greenwood_hanson_hys_processed_series