CBOE EFA ETF Volatility Index

EURO STOXX 50 Volatility Index

How volatility evolves over time

How illiquidity evolves over time

{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
mwindow	66
αARCH	0.0074	0.68
βGARCH	0.8663	88.06***
γleverage	0.1503	9.71***
λ₁tau intercept	0.0235	2.24**
λ₂forecast adj.	0.1072	3.36***
λ₃tau persistence	0.8792	24.55***

Parameter	Value	t-statistic
m window Rolling window length	66
α ARCH Response to squared shocks	0.0074	0.68
β GARCH Volatility persistence	0.8663	88.06***
γ leverage Additional response to negative shocks	0.1503	9.71***
λ₁ tau intercept Baseline long-term coefficient	0.0235	2.24**
λ₂ forecast adj. Forecast performance sensitivity	0.1072	3.36***
λ₃ tau persistence Long-term factor persistence	0.8792	24.55***

V-Lab

OMX Stockholm 30 Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other OMX Stockholm 30 Index Analyses