CBOE Volatility Index

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CBOE DJIA 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	26
αARCH	0.3094	7.58***
βGARCH	0.6169	16.81***
γleverage	-0.1975	-4.07***
λ₁tau intercept	0.0147	2.16**
λ₂forecast adj.	0.0239	4.07***
λ₃tau persistence	0.9746	167.83***

Parameter	Value	t-statistic
m window Rolling window length	26
α ARCH Response to squared shocks	0.3094	7.58***
β GARCH Volatility persistence	0.6169	16.81***
γ leverage Additional response to negative shocks	-0.1975	-4.07***
λ₁ tau intercept Baseline long-term coefficient	0.0147	2.16**
λ₂ forecast adj. Forecast performance sensitivity	0.0239	4.07***
λ₃ tau persistence Long-term factor persistence	0.9746	167.83***

V-Lab

Deutsche Bank FX Volatility Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Deutsche Bank FX Volatility Index Analyses