DAX Volatility Index

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	0.0000	0.00
βGARCH	0.9777	0.02
γleverage	0.0000	0.00
λ₁tau intercept	9.9996	6.57***
λ₂forecast adj.	0.0000	0.00
λ₃tau persistence	0.1458	0.65

Parameter	Value	t-statistic
m window Rolling window length	66
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.9777	0.02
γ leverage Additional response to negative shocks	0.0000	0.00
λ₁ tau intercept Baseline long-term coefficient	9.9996	6.57***
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.1458	0.65

V-Lab

Ctac NV MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Ctac NV Analyses