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	0.9167	3.57***
αARCH	0.1112	0.13
βGARCH	0.8888	1.08

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.9167	3.57***
α ARCH Response to squared shocks	0.1112	0.13
β GARCH Volatility persistence	0.8888	1.08

V-Lab

Iba - Ion Beam Applications Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Iba - Ion Beam Applications Analyses