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}])

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Parameters

• standard

Name	Type	Description	Default	Optional
data	List[Data]	Input dataset.		False
y_column	str	Target column.		False
x_columns	List[str]	List of columns to use as exogenous variables.		False

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Returns

OBBject
    results : Dict
        OBBject with the fit model returned