cfo_survey
Get the Richmond Fed CFO Survey optimism series.
Examples
from openbb import obb
obb.federal_reserve.richmond.cfo_survey(provider='federal_reserve')
# Get the legacy pre-Q2-2020 Duke CFO Survey series.
obb.federal_reserve.richmond.cfo_survey(table='legacy_through_q1_2020', provider='federal_reserve')
Parameters
- standard
- federal_reserve
table: str | None
Default: optimism
The CFO Survey table to return: optimism, expectations, spending, GDP/S&P 500 forecasts, investment plans, or credit conditions - several broken out by firm size, employment, or sector. The 'legacy_through_q1_2020' table holds the pre-Q2-2020 Duke CFO Survey series (optimism, growth expectations, and S&P 500 forecasts).
start_date: date | None | str
Start date of the data, in YYYY-MM-DD format.
end_date: date | None | str
End date of the data, in YYYY-MM-DD format.
Returns
results: FederalReserveRichmondCFO
Serializable results.
provider: str | None
Provider name.
warnings: Optional[list[Warning_]]
List of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
- federal_reserve
date: date | str
The survey quarter start date.
category: str | None
The breakdown the row applies to, where the table is disaggregated (e.g. firm size, sector, employment category, or the expectation measure); null for undisaggregated tables.