FRED – Corporate Bond Yield (Moody's Baa)
- Rows
- 1,288
- Columns
- 2
Daily Moody's Baa seasoned corporate bond yield from 1919 to present. Used to measure credit spreads alongside Aaa series.
AI analysis
Dataset Analysis: FRED Moody's Baa Corporate Bond Yield
1. Dataset Overview & Value This dataset captures the Moody's Baa seasoned corporate bond yield — a widely used benchmark for investment-grade corporate credit risk — spanning from 1919 to the present, sourced directly from the Federal Reserve Bank of St. Louis (FRED) via their public API at fred.stlouisfed.org. Because it originates from FRED, freshness is reliable and institutionally maintained, making it a trusted anchor for macroeconomic research. With 1,288 rows representing what appears to be monthly observations (1,288 months ≈ 107 years), this series is exceptionally long-horizon and carries substantial analytical depth. Its primary value lies in measuring credit spreads — particularly when paired with the Aaa series also referenced in the description — which reflect investor sentiment around corporate default risk, economic cycles, and monetary policy transmission.
2. Data Quality Observations Data quality here is essentially excellent. Across both columns, total null cells equal zero, meaning there are no missing observations — a remarkable characteristic for a century-long financial time series that likely survived data digitization from historical records. No type mismatches are apparent: the Date column is properly typed as Date and BAA as Decimal. The duplicate row count is noted as pending Phase D recomputation, but given that Date shows 1,288 distinct values matching the total row count exactly, zero duplicate rows are effectively confirmed — every date is unique. The only structural caution worth flagging is that 646 distinct yield values across 1,288 rows implies moderate value repetition (roughly one unique value per 2 rows), which is expected for a rate series that moves gradually and rounds to two decimal places.
3. Key Column Distributions The BAA yield column tells a rich macroeconomic story through its statistics. The mean of 6.79% sits notably above the median of 6.155%, and the positive skew of 1.16 confirms a right-tailed distribution — driven by the extreme interest rate environment of the early 1980s Volcker era, reflected in the maximum of 17.18%. The minimum of 2.94% likely corresponds to the post-2008 or COVID-era low-rate environment. The interquartile range spans 4.83% (Q1) to 8.28% (Q3), a spread of ~3.5 percentage points, indicating substantial regime variation across the series. The 51 flagged outliers — roughly 4% of observations — almost certainly cluster around the 1979–1982 monetary tightening cycle and are not data errors but genuine historical extremes that should be retained for any recession or crisis-period analysis.
4. Recommended Join Key The Date column is the clear and unambiguous join key, confirmed by its perfect distinctness (1,288 distinct values = 1,288 rows, zero nulls). Since the granularity appears to be monthly, any cross-dataset join should align on a normalized month-end or month-start date convention (e.g., YYYY-MM-01) to avoid merge failures from day-of-month discrepancies across FRED series. Time-based joining should also account for potential publication lags in related series before computing lead-lag correlations.
5. Recommended Pairing Datasets Several datasets would pair powerfully with this series for correlation discovery:
| Dataset | Rationale | |---|---| | FRED Moody's Aaa Corporate Bond Yield | Direct credit spread computation (Baa − Aaa = default risk premium) | | FRED Federal Funds Rate (FEDFUNDS) | Quantify monetary policy transmission into corporate credit markets | | S&P 500 or CAPE Ratio (Shiller) | Test inverse yield-equity relationships and risk-off signals | | FRED Unemployment Rate (UNRATE) | Explore credit stress as a leading indicator of labor market deterioration | | U.S. GDP Growth / NBER Recession Dates | Validate Baa spreads as recession predictors across 10+ cycles | | 10-Year Treasury Yield (DGS10) | Decompose corporate yields into risk-free rate vs. credit spread components |
The Baa series is particularly powerful as a leading indicator dataset — spread widening historically precedes recessions by 6–18 months — making temporal lag analysis a high-value analytical direction.
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