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	76
αARCH	0.0713	2.89***
βGARCH	0.8557	19.62***
γleverage	0.0358	1.49
λ₁tau intercept	1.9394	0.55
λ₂forecast adj.	0.2927	0.60
λ₃tau persistence	0.4322	0.45

Parameter	Value	t-statistic
m window Rolling window length	76
α ARCH Response to squared shocks	0.0713	2.89***
β GARCH Volatility persistence	0.8557	19.62***
γ leverage Additional response to negative shocks	0.0358	1.49
λ₁ tau intercept Baseline long-term coefficient	1.9394	0.55
λ₂ forecast adj. Forecast performance sensitivity	0.2927	0.60
λ₃ tau persistence Long-term factor persistence	0.4322	0.45

V-Lab

Saudi Industrial Export Co MF2-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Saudi Industrial Export Co Analyses