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	1.1094	3.70***
αARCH	0.1745	14.33***
βGARCH	0.8194	71.40***

γ₁	-0.0633	-3.58***
γ₂	0.1040	4.36***
γ₃	-0.0574	-3.22***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.1094	3.70***
α ARCH Response to squared shocks	0.1745	14.33***
β GARCH Volatility persistence	0.8194	71.40***

γ₁	-0.0633	-3.58***
γ₂	0.1040	4.36***
γ₃	-0.0574	-3.22***

V-Lab

San Shing Fastech Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other San Shing Fastech Analyses