Skip to content
logo
arch 9.0.0
arch.univariate.NGARCH.bounds
Initializing search
    arch
    arch
    • Univariate Volatility Models
      • Introduction
      • Examples
      • Forecasting
      • Volatility Forecasting
      • Value-at-Risk Forecasting
      • Forecasting Scenarios
      • Forecasting with Exogenous Variables
      • Mean Models
      • Volatility Processes
        • arch.univariate.ConstantVariance
        • arch.univariate.GARCH
        • arch.univariate.FIGARCH
        • arch.univariate.EGARCH
        • arch.univariate.HARCH
        • arch.univariate.MIDASHyperbolic
        • arch.univariate.ARCH
        • arch.univariate.APARCH
        • arch.univariate.FIAPARCH
        • arch.univariate.NGARCH
          • C arch.univariate.NGARCH
            • arch.univariate.NGARCH.backcast
            • arch.univariate.NGARCH.backcast_transform
            • arch.univariate.NGARCH.bounds
              • M NGARCH.bounds
                • Parameters
                  • p resids
                • Returns
                • Return type
            • arch.univariate.NGARCH.compute_variance
            • arch.univariate.NGARCH.constraints
            • arch.univariate.NGARCH.forecast
            • arch.univariate.NGARCH.parameter_names
            • arch.univariate.NGARCH.simulate
            • arch.univariate.NGARCH.starting_values
            • arch.univariate.NGARCH.update
            • arch.univariate.NGARCH.variance_bounds
            • arch.univariate.NGARCH.name
            • arch.univariate.NGARCH.num_params
            • arch.univariate.NGARCH.start
            • arch.univariate.NGARCH.stop
            • arch.univariate.NGARCH.updateable
            • arch.univariate.NGARCH.volatility_updater
        • Parameterless Variance Processes
        • FixedVariance
        • Writing New Volatility Processes
      • Using the Fixed Variance Process
      • Distributions
      • Results
      • Utilities
      • Background and References
    • Bootstrapping
    • Multiple Comparison Problems
    • Unit Root Testing
    • Cointegration Analysis
    • Long-run Covariance Estimation
    • API Reference
    • Data Sets
    • Warnings and Exceptions
    • Common Type Definitions
    • Contributing
    • Change Log
    • M NGARCH.bounds
      • Parameters
        • p resids
      • Returns
      • Return type

    arch.univariate.NGARCH.bounds¶

    NGARCH.bounds(resids: ndarray[tuple[int], dtype[float64]] | Series) → list[tuple[float, float]][source]¶

    Return bounds for parameters.

    Parameters:¶
    resids: ndarray[tuple[int], dtype[float64]] | Series¶

    Vector of (approximate) residuals.

    Returns:¶

    bounds – List of bounds where each element is (lower, upper).

    Return type:¶

    list of tuple of float

    © Copyright 2021, Kevin Sheppard.
    Created using Sphinx 9.2.0. and Sphinx-Immaterial