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	1.0836	6.14***
αARCH	0.1220	11.19***
βGARCH	0.8778	80.06***

γ₁	0.0193	1.18
γ₂	-0.1135	-4.20***
γ₃	0.1955	5.95***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0836	6.14***
α ARCH Response to squared shocks	0.1220	11.19***
β GARCH Volatility persistence	0.8778	80.06***

γ₁	0.0193	1.18
γ₂	-0.1135	-4.20***
γ₃	0.1955	5.95***

V-Lab

Hyperscale Data Inc Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Hyperscale Data Inc Analyses