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panel_fmac

Fama-MacBeth estimator for panel data.

The Fama-MacBeth estimator, a two-step procedure renowned for its application in finance to estimate the risk premiums and evaluate the capital asset pricing model. By first estimating cross-sectional regressions for each time period and then averaging the regression coefficients over time, this method provides insights into the relationship between the dependent variable (y_column) and explanatory variables (x_columns) across different entities (such as individuals, companies, or countries).

Examples​

from openbb import obb
obb.econometrics.panel_fmac(y_column='portfolio_value', x_columns='['risk_free_rate']', data='[{'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_1', 'time': 0, 'portfolio_value': 100000.0, 'risk_free_rate': 0.02}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_1', 'time': 1, 'portfolio_value': 150000.0, 'risk_free_rate': 0.03}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_2', 'time': 0, 'portfolio_value': 150000.0, 'risk_free_rate': 0.03}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_2', 'time': 1, 'portfolio_value': 133333.33, 'risk_free_rate': 0.03}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_3', 'time': 0, 'portfolio_value': 133333.33, 'risk_free_rate': 0.03}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_3', 'time': 1, 'portfolio_value': 125000.0, 'risk_free_rate': 0.03}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_4', 'time': 0, 'portfolio_value': 125000.0, 'risk_free_rate': 0.03}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_4', 'time': 1, 'portfolio_value': 120000.0, 'risk_free_rate': 0.02}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_5', 'time': 0, 'portfolio_value': 120000.0, 'risk_free_rate': 0.02}, {'is_multiindex': True, 'multiindex_names': "['asset_manager', 'time']", 'asset_manager': 'asset_manager_5', 'time': 1, 'portfolio_value': 116666.67, 'risk_free_rate': 0.02}]')

Parameters​

data: list[openbb_core.provider.abstract.data.Data]

Input dataset.

• Optional: False

y_column: str

Target column.

• Optional: False

x_columns: list[str]

list of columns to use as exogenous variables.

• Optional: False

Returns​

results: list[dict]

Serializable results.

provider: None

Provider name.

warnings: Optional[list[Warning_]]

list of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

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