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

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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	0.0000	0.00
βGARCH	0.8766	10.89***
γleverage	0.0889	2.13**
λ₁tau intercept	0.0232	5.34***
λ₂forecast adj.	0.0000	0.00
λ₃tau persistence	0.0034	0.01

Parameter	Value	t-statistic
m window Rolling window length	41
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.8766	10.89***
γ leverage Additional response to negative shocks	0.0889	2.13**
λ₁ tau intercept Baseline long-term coefficient	0.0232	5.34***
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.0034	0.01

V-Lab

Innovatr EQ DF PR - 1 YR MAY MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Innovatr EQ DF PR - 1 YR MAY Analyses