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	0.7674	11.19***
αARCH	0.0806	4.70***
βGARCH	0.8459	21.75***

γ₁	-0.7129	-13.25***
γ₂	1.1588	12.05***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.7674	11.19***
α ARCH Response to squared shocks	0.0806	4.70***
β GARCH Volatility persistence	0.8459	21.75***

γ₁	-0.7129	-13.25***
γ₂	1.1588	12.05***

V-Lab

Linc Ab Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Linc Ab Analyses