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	1.0226	4.11***
αARCH	0.0766	6.12***
βGARCH	0.9139	61.95***

γ₁	-0.1502	-1.35
γ₂	-0.0096	-0.05
γ₃	0.3286	1.68*

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0226	4.11***
α ARCH Response to squared shocks	0.0766	6.12***
β GARCH Volatility persistence	0.9139	61.95***

γ₁	-0.1502	-1.35
γ₂	-0.0096	-0.05
γ₃	0.3286	1.68*

V-Lab

Contango Silver & Gold Inc Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Contango Silver & Gold Inc Analyses