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	0.9946	5.96***
αARCH	0.0914	12.46***
βGARCH	0.8995	115.38***

γ₁	-0.0245	-2.26**
γ₂	0.0207	1.26
γ₃	-0.0019	-0.11

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.9946	5.96***
α ARCH Response to squared shocks	0.0914	12.46***
β GARCH Volatility persistence	0.8995	115.38***

γ₁	-0.0245	-2.26**
γ₂	0.0207	1.26
γ₃	-0.0019	-0.11

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Monolithic Power Systems Inc Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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