CBOE Volatility Index

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CBOE DJIA 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	21
αARCH	0.0000	0.01
βGARCH	0.8834	225.08***
γleverage	0.2231	37.76***
λ₁tau intercept	10.0000	49.29***
λ₂forecast adj.	1.0000	41.04***
λ₃tau persistence	0.0000	0.02

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.0000	0.01
β GARCH Volatility persistence	0.8834	225.08***
γ leverage Additional response to negative shocks	0.2231	37.76***
λ₁ tau intercept Baseline long-term coefficient	10.0000	49.29***
λ₂ forecast adj. Forecast performance sensitivity	1.0000	41.04***
λ₃ tau persistence Long-term factor persistence	0.0000	0.02

V-Lab

Tradr 2x Long USAR Daily ETF MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Tradr 2x Long USAR Daily ETF Analyses