DAX Volatility Index

CBOE EFA ETF Volatility Index

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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	41
αARCH	0.0081	0.76
βGARCH	0.8088	61.67***
γleverage	0.2036	11.84***
λ₁tau intercept	0.0144	2.39**
λ₂forecast adj.	0.0650	3.48***
λ₃tau persistence	0.9235	41.35***

Parameter	Value	t-statistic
m window Rolling window length	41
α ARCH Response to squared shocks	0.0081	0.76
β GARCH Volatility persistence	0.8088	61.67***
γ leverage Additional response to negative shocks	0.2036	11.84***
λ₁ tau intercept Baseline long-term coefficient	0.0144	2.39**
λ₂ forecast adj. Forecast performance sensitivity	0.0650	3.48***
λ₃ tau persistence Long-term factor persistence	0.9235	41.35***

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Deutsche Borse AG DAX Mid-Cap Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Deutsche Borse AG DAX Mid-Cap Index Analyses