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	0.9911	3.07***
αARCH	0.1252	10.57***
βGARCH	0.8746	73.33***

γ₁	0.0221	0.99
γ₂	-0.1444	-3.29***
γ₃	0.2532	3.56***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.9911	3.07***
α ARCH Response to squared shocks	0.1252	10.57***
β GARCH Volatility persistence	0.8746	73.33***

γ₁	0.0221	0.99
γ₂	-0.1444	-3.29***
γ₃	0.2532	3.56***

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Lantronix Inc Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Lantronix Inc Analyses