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	1.1730	1.33
αARCH	0.0516	5.79***
βGARCH	0.9306	114.76***
γleverage	0.0357	3.43***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.1730	1.33
α ARCH Response to squared shocks	0.0516	5.79***
β GARCH Volatility persistence	0.9306	114.76***
γ leverage Additional response to negative shocks	0.0357	3.43***

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News Impact Curve

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