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	81
αARCH	0.1746	4.62***
βGARCH	0.7254	15.30***
γleverage	-0.0775	-1.92*
λ₁tau intercept	0.2439	2.06**
λ₂forecast adj.	0.5619	2.36**
λ₃tau persistence	0.0000	0.00

Parameter	Value	t-statistic
m window Rolling window length	81
α ARCH Response to squared shocks	0.1746	4.62***
β GARCH Volatility persistence	0.7254	15.30***
γ leverage Additional response to negative shocks	-0.0775	-1.92*
λ₁ tau intercept Baseline long-term coefficient	0.2439	2.06**
λ₂ forecast adj. Forecast performance sensitivity	0.5619	2.36**
λ₃ tau persistence Long-term factor persistence	0.0000	0.00

V-Lab

Ghana Stock Exchange Composite Index MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Ghana Stock Exchange Composite Index Analyses