SMI Volatility Index

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How volatility evolves over time

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{name} Model Equation

How returns affect tomorrow's volatility

How returns affect tomorrow's illiquidity

Spline Coefficients

Value at Risk (VaR) estimates the maximum loss at a given confidence level. Expected Shortfall (ES) estimates the average loss beyond VaR.

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Param	Value	t-stat
ωconst	0.7597	8.82***
αARCH	0.1477	7.53***
βGARCH	0.6908	19.30***

γ₁	-0.0268	-1.43
γ₂	0.0480	1.74*
γ₃	-0.0311	-1.63
γ₄	0.0177	0.94
γ₅	-0.0321	-1.79*
γ₆	0.0393	3.13***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.7597	8.82***
α ARCH Response to squared shocks	0.1477	7.53***
β GARCH Volatility persistence	0.6908	19.30***

γ₁	-0.0268	-1.43
γ₂	0.0480	1.74*
γ₃	-0.0311	-1.63
γ₄	0.0177	0.94
γ₅	-0.0321	-1.79*
γ₆	0.0393	3.13***

V-Lab

SMI Volatility Index Zero Slope Spline-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other SMI Volatility Index Analyses