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
αARCH	0.6173	6.87***
βGARCH	0.4778	8.47***
γleverage	-0.3217	-3.13***
λ₁tau intercept	1,597,140.3937

Parameter	Value	t-statistic
α ARCH Response to squared shocks	0.6173	6.87***
β GARCH Volatility persistence	0.4778	8.47***
γ leverage Additional response to negative shocks	-0.3217	-3.13***
λ₁ tau intercept Baseline long-term coefficient	1,597,140.3937

V-Lab

Galaxy Payroll Group Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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