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	0.7728	11.11***
αARCH	0.2616	17.47***
βGARCH	0.7381	49.42***

γ₁	0.0838	7.02***
γ₂	-0.3268	-9.15***
γ₃	0.6456	6.31***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.7728	11.11***
α ARCH Response to squared shocks	0.2616	17.47***
β GARCH Volatility persistence	0.7381	49.42***

γ₁	0.0838	7.02***
γ₂	-0.3268	-9.15***
γ₃	0.6456	6.31***

V-Lab

Jiangxi Ganneng Co Ltd Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Jiangxi Ganneng Co Ltd Analyses