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	5.0000	0.05
αARCH	0.0809	0.23
βGARCH	0.9408	53.54***
γleverage	-0.0436	-0.09

Parameter	Value	t-statistic
ω const Unconditional variance weight	5.0000	0.05
α ARCH Response to squared shocks	0.0809	0.23
β GARCH Volatility persistence	0.9408	53.54***
γ leverage Additional response to negative shocks	-0.0436	-0.09

V-Lab

Viking Kagit Seluloz As Asymmetric ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Viking Kagit Seluloz As Analyses