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	21
αARCH	0.1969	15.35***
βGARCH	0.7266	36.86***
γleverage	-0.1969	-7.51***
λ₁tau intercept	10.0000	1.32
λ₂forecast adj.	0.2550	9.90***
λ₃tau persistence	0.7450	29.32***

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.1969	15.35***
β GARCH Volatility persistence	0.7266	36.86***
γ leverage Additional response to negative shocks	-0.1969	-7.51***
λ₁ tau intercept Baseline long-term coefficient	10.0000	1.32
λ₂ forecast adj. Forecast performance sensitivity	0.2550	9.90***
λ₃ tau persistence Long-term factor persistence	0.7450	29.32***

V-Lab

Autoline Industries Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Autoline Industries Ltd Analyses