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
ωconst	10.8654	0.52
αARCH	0.0000	0.00
βGARCH	0.9697	1.48
νDF	7.2140	0.15

Parameter	Value	t-statistic
ω const Unconditional variance weight	10.8654	0.52
α ARCH Response to squared shocks	0.0000	0.00
β GARCH Volatility persistence	0.9697	1.48
ν DF Student-t tail thickness	7.2140	0.15

V-Lab

Grayscale Avalanche Staking ETF GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Grayscale Avalanche Staking ETF Analyses