ARMAFIGARCHResult._summary_table#
- ARMAFIGARCHResult._summary_table()[source]#
Structured summary rendered by every display path.
Metadata carries the joint label, the mean label, truncation lag, sample size, the likelihood with its criteria,
dand the parameter count; the coefficient table isparamsin order; the notes give the mean verdicts and whether they describe the data or the transform, the long-memory verdict with the reason no half-life exists, and how the joint likelihood was formed.- Return type:
- Returns:
The
SummaryTable.
Example
>>> rng = np.random.default_rng(0) >>> res = ARMAFIGARCH(rng.standard_normal(600), ar_lags=1, ma_lags=1).fit() >>> table = res._summary_table() >>> table.title, table.metadata[8][0], len(table.notes) ('ARMA(1, 1)-FIGARCH(1, d, 1) Results', 'd', 5) >>> len(ARMAFIGARCH(res.endog, ar_lags=1, ma_lags=0).fit()._summary_table().notes) 4