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	0.8031	2.62***
αARCH	0.2615	0.15
βGARCH	0.7385	0.43

γ₁	-0.0215	-0.01
γ₂	0.0174	0.00

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.8031	2.62***
α ARCH Response to squared shocks	0.2615	0.15
β GARCH Volatility persistence	0.7385	0.43

γ₁	-0.0215	-0.01
γ₂	0.0174	0.00

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Shanghai Hi-Tech Control System Co Ltd Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Shanghai Hi-Tech Control System Co Ltd Analyses