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
mwindow	126
αARCH	0.1462	8.22***
βGARCH	0.9173	80.49***
γleverage	-0.1462	-2.11**
λ₁tau intercept	0.0000	0.20
λ₂forecast adj.	0.0000	0.05
λ₃tau persistence	0.9502	231.64***

Parameter	Value	t-statistic
m window Rolling window length	126
α ARCH Response to squared shocks	0.1462	8.22***
β GARCH Volatility persistence	0.9173	80.49***
γ leverage Additional response to negative shocks	-0.1462	-2.11**
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.20
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.05
λ₃ tau persistence Long-term factor persistence	0.9502	231.64***

V-Lab

Wellcell Holdings Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Wellcell Holdings Co Ltd Analyses