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	1.3575	4.93***
αARCH	0.1874	9.13***
βGARCH	0.7942	31.50***

γ₁	-0.7749	-2.21**
γ₂	0.5680	1.01
γ₃	1.2157	2.91***
γ₄	-2.2183	-4.60***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.3575	4.93***
α ARCH Response to squared shocks	0.1874	9.13***
β GARCH Volatility persistence	0.7942	31.50***

γ₁	-0.7749	-2.21**
γ₂	0.5680	1.01
γ₃	1.2157	2.91***
γ₄	-2.2183	-4.60***

V-Lab

Global Education Ltd Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Global Education Ltd Analyses