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	2.2941	1.85*
αARCH	0.0753	8.44***
βGARCH	0.8696	133.48***
γleverage	0.1102	8.14***

Parameter	Value	t-statistic
ω const Unconditional variance weight	2.2941	1.85*
α ARCH Response to squared shocks	0.0753	8.44***
β GARCH Volatility persistence	0.8696	133.48***
γ leverage Additional response to negative shocks	0.1102	8.14***

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Juventus Football Club S.p.A. Asymmetric ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

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