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
mwindow	96
αARCH	0.5000	39.54***
βGARCH	0.5753	65.03***
γleverage	-0.5000	-40.67***
λ₁tau intercept	0.2109	2.57**
λ₂forecast adj.	0.8048	8.60***
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	96
α ARCH Response to squared shocks	0.5000	39.54***
β GARCH Volatility persistence	0.5753	65.03***
γ leverage Additional response to negative shocks	-0.5000	-40.67***
λ₁ tau intercept Baseline long-term coefficient	0.2109	2.57**
λ₂ forecast adj. Forecast performance sensitivity	0.8048	8.60***
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

V-Lab

Grayscale Dogecoin Trust Doge ETF MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Grayscale Dogecoin Trust Doge ETF Analyses