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	1.4464	0.90
αARCH	0.0784	2.39**
βGARCH	0.8401	32.87***
γleverage	0.1593	3.63***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.4464	0.90
α ARCH Response to squared shocks	0.0784	2.39**
β GARCH Volatility persistence	0.8401	32.87***
γ leverage Additional response to negative shocks	0.1593	3.63***

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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