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
mwindow	31
αARCH	0.1529	4.19***
βGARCH	0.6804	9.96***
γleverage	-0.0367	-0.69
λ₁tau intercept	0.0781	0.78
λ₂forecast adj.	0.0107	2.80***
λ₃tau persistence	0.9880	228.60***

Parameter	Value	t-statistic
m window Rolling window length	31
α ARCH Response to squared shocks	0.1529	4.19***
β GARCH Volatility persistence	0.6804	9.96***
γ leverage Additional response to negative shocks	-0.0367	-0.69
λ₁ tau intercept Baseline long-term coefficient	0.0781	0.78
λ₂ forecast adj. Forecast performance sensitivity	0.0107	2.80***
λ₃ tau persistence Long-term factor persistence	0.9880	228.60***

V-Lab

Unicap Modaraba MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Unicap Modaraba Analyses