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	51
αARCH	0.0304	2.89***
βGARCH	0.8135	53.52***
γleverage	0.1488	8.40***
λ₁tau intercept	0.0022	0.77
λ₂forecast adj.	0.0131	2.50**
λ₃tau persistence	0.9853	131.44***

Parameter	Value	t-statistic
m window Rolling window length	51
α ARCH Response to squared shocks	0.0304	2.89***
β GARCH Volatility persistence	0.8135	53.52***
γ leverage Additional response to negative shocks	0.1488	8.40***
λ₁ tau intercept Baseline long-term coefficient	0.0022	0.77
λ₂ forecast adj. Forecast performance sensitivity	0.0131	2.50**
λ₃ tau persistence Long-term factor persistence	0.9853	131.44***

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Oslo Stock Exchange All Share Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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