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	2.6315	2.15**
αARCH	0.1172	1.50
βGARCH	0.8599	19.99***
γleverage	0.0049	0.04

Parameter	Value	t-statistic
ω const Unconditional variance weight	2.6315	2.15**
α ARCH Response to squared shocks	0.1172	1.50
β GARCH Volatility persistence	0.8599	19.99***
γ leverage Additional response to negative shocks	0.0049	0.04

V-Lab

GFI Co Ltd/Korea Asymmetric ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other GFI Co Ltd/Korea Analyses