CBOE Volatility Index

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How volatility evolves over time

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{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	76
αARCH	0.0272	0.68
βGARCH	0.0640	0.41
γleverage	0.0730	1.10
λ₁tau intercept	6.2395	1.88*
λ₂forecast adj.	0.6882	2.59***
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	76
α ARCH Response to squared shocks	0.0272	0.68
β GARCH Volatility persistence	0.0640	0.41
γ leverage Additional response to negative shocks	0.0730	1.10
λ₁ tau intercept Baseline long-term coefficient	6.2395	1.88*
λ₂ forecast adj. Forecast performance sensitivity	0.6882	2.59***
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

V-Lab

Onterris Inc MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Onterris Inc Analyses