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Constant Mean - GARCH Model Results = = = = = = = = = = = = = = = = = = =
Constant Mean GARCH Model Results
Dep. Variable: rfut Rsquared:
Mean Model: Constant Mean Adj. Rsquared:
Vol Model: GARCH LogLikelihood:
Distribution: Normal AIC:
Method: Maximum Likelihood BIC:
No Observations:
Date: Fri, Jul Df Residuals:
Time: :: Df Model:
Mean Model
coef std err t Pt Conf. Int.
mu ee
Volatility Model
coef std err t Pt Conf. Int.
omega ee
alphaeee
betae
Covariance estimator: robust
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Iteration: Func. Count: Neg. LLF:
Optimization terminated successfully Exit mode
Current function value:
Iterations:
Function evaluations:
Gradient evaluations:
Constant Mean EGARCH Model Results
Dep. Variable: rfut Rsquared:
Mean Model: Constant Mean Adj. Rsquared:
Vol Model: EGARCH LogLikelihood:
Distribution: Normal AIC:
Method: Maximum Likelihood BIC:
No Observations:
Date: Fri, Jul Df Residuals:
Time: :: Df Model:
Mean Model
coef std err t Pt Conf. Int.
mu ee
Volatility Model
coef std err t Pt Conf. Int.
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