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	81
αARCH	0.0000	0.00
βGARCH	0.8812	82.76***
γleverage	0.1268	9.46***
λ₁tau intercept	0.1617	2.68***
λ₂forecast adj.	0.8178	11.96***
λ₃tau persistence	0.0929	1.40

Parameter	Value	t-statistic
m window Rolling window length	81
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.8812	82.76***
γ leverage Additional response to negative shocks	0.1268	9.46***
λ₁ tau intercept Baseline long-term coefficient	0.1617	2.68***
λ₂ forecast adj. Forecast performance sensitivity	0.8178	11.96***
λ₃ tau persistence Long-term factor persistence	0.0929	1.40

V-Lab

State Street Materials Select Sector SPDR ETF MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other State Street Materials Select Sector SPDR ETF Analyses