numeraire_dataset.load_ff_factors#
- numeraire_dataset.load_ff_factors(*, freq: Literal['monthly', 'daily'] = 'monthly', start_date: str = '1926-07-01', end_date: str = '2023-12-31') DataFrame[source]#
Fama-French 3-factor tidy frame (
date, mkt_excess, smb, hml, risk_free), in decimals.mkt_excessis the excess market return,risk_freethe 1-month T-bill — the canonical academic market/risk-free pair. Monthly source period labels are moved from month-start to month-end, when the returns are realized.start_dateandend_dateare then applied inclusively to those canonical timestamps (not to the backend’s month-start labels). The strict schema rejects missing or non-finite factor values and attaches inspectable requested/backend/ selected bounds plus tidyfinance version/recipe provenance; it does not pretend to have a raw-byte digest that the backend does not expose.