CBOE Volatility Index

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How volatility evolves over time

How illiquidity evolves over time

{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	31
αARCH	0.5000	29.39***
βGARCH	0.6314	58.12***
γleverage	-0.5000	-26.77***
λ₁tau intercept	0.0000	0.00
λ₂forecast adj.	0.4856	106.89***
λ₃tau persistence	0.2752	2.94***

Parameter	Value	t-statistic
m window Rolling window length	31
α ARCH Response to squared shocks	0.5000	29.39***
β GARCH Volatility persistence	0.6314	58.12***
γ leverage Additional response to negative shocks	-0.5000	-26.77***
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.00
λ₂ forecast adj. Forecast performance sensitivity	0.4856	106.89***
λ₃ tau persistence Long-term factor persistence	0.2752	2.94***

V-Lab

PGIM S&P 500 Max Buffer ETF - December MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other PGIM S&P 500 Max Buffer ETF - December Analyses