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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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	61
αARCH	0.0000	0.00
βGARCH	0.8298	54.64***
γleverage	0.2210	12.33***
λ₁tau intercept	0.0122	1.60
λ₂forecast adj.	0.0572	2.04**
λ₃tau persistence	0.9321	27.75***

Parameter	Value	t-statistic
m window Rolling window length	61
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.8298	54.64***
γ leverage Additional response to negative shocks	0.2210	12.33***
λ₁ tau intercept Baseline long-term coefficient	0.0122	1.60
λ₂ forecast adj. Forecast performance sensitivity	0.0572	2.04**
λ₃ tau persistence Long-term factor persistence	0.9321	27.75***

V-Lab

State Street SPDR S&P 500 ETF Trust MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other State Street SPDR S&P 500 ETF Trust Analyses