CBOE Volatility Index

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
ωconst	0.8101	0.59
αARCH	0.0319	2.88***
βGARCH	0.9551	111.45***
γleverage	0.0124	0.16
δpower	2.4687	4.99***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.8101	0.59
α ARCH Response to squared shocks	0.0319	2.88***
β GARCH Volatility persistence	0.9551	111.45***
γ leverage Additional response to negative shocks	0.0124	0.16
δ power Transformation power	2.4687	4.99***

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Unicap Modaraba Asy. Power MEM Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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