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	1.4867	0.94
αARCH	0.0808	2.38**
βGARCH	0.8386	31.73***
γleverage	0.1573	3.58***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.4867	0.94
α ARCH Response to squared shocks	0.0808	2.38**
β GARCH Volatility persistence	0.8386	31.73***
γ leverage Additional response to negative shocks	0.1573	3.58***

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M3 Technology Inc Asymmetric ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other M3 Technology Inc Analyses