FIGARCHResult.is_covariance_stationary#

property FIGARCHResult.is_covariance_stationary: bool[source]#

Always False; see persistence.

Example

>>> rng = np.random.default_rng(0)
>>> FIGARCH(rng.standard_normal(600)).fit().is_covariance_stationary
False

API reference

Every public model, test and result, with the mathematics it implements and a runnable example.

View the API

Examples

Research workflows on live FRED data, from identification to forecast evaluation, as scripts and notebooks.

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Engine

The numerical core and internal layers the public surface is built on, for contributors and the curious.

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Get cultivars

Pre-releases are published to PyPI and announced on GitHub Releases. Pin the exact version in anything that must not move.

pip install --pre cultivars==1.0.0a4

© 2026, Nikhil Sunder. Released under the MIT License. cultivars is an independent open-source project and is not affiliated with the Federal Reserve Bank of St. Louis; FRED® is a registered trademark of the Federal Reserve Bank of St. Louis.

cultivars 1.0.0a4 · updated 2026-10-13 · built with Sphinx 9.1.0 and the PyData Sphinx Theme