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	1.0677	7.05***
αARCH	0.0478	10.86***
βGARCH	0.9467	174.86***

γ₁	-0.0378	-6.11***
γ₂	0.0498	5.14***
γ₃	-0.0115	-1.49
γ₄	-0.0068	-0.64

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0677	7.05***
α ARCH Response to squared shocks	0.0478	10.86***
β GARCH Volatility persistence	0.9467	174.86***

γ₁	-0.0378	-6.11***
γ₂	0.0498	5.14***
γ₃	-0.0115	-1.49
γ₄	-0.0068	-0.64

V-Lab

RTX Corp Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other RTX Corp Analyses