How volatility evolves over time

How illiquidity evolves over time

{name} Model Equation

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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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Parameter	Value	t-statistic
ω const Unconditional variance weight	0.9169	0.21
α ARCH Response to squared shocks	0.1472	0.01
β GARCH Volatility persistence	0.8528	0.09

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

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Juventus Football Club S.p.A. Analyses