S&P / ASX 200 Volatility Index

CBOE EFA ETF 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	91
αARCH	0.1611	3.62***
βGARCH	0.7433	15.96***
γleverage	-0.0267	-0.40
λ₁tau intercept	10.0000	0.48
λ₂forecast adj.	0.3389	1.05
λ₃tau persistence	0.5427	0.99

Parameter	Value	t-statistic
m window Rolling window length	91
α ARCH Response to squared shocks	0.1611	3.62***
β GARCH Volatility persistence	0.7433	15.96***
γ leverage Additional response to negative shocks	-0.0267	-0.40
λ₁ tau intercept Baseline long-term coefficient	10.0000	0.48
λ₂ forecast adj. Forecast performance sensitivity	0.3389	1.05
λ₃ tau persistence Long-term factor persistence	0.5427	0.99

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Range International Limited MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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