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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Parameter	Value	t-statistic
m window Rolling window length	126
α ARCH Response to squared shocks	0.1337	9.14***
β GARCH Volatility persistence	0.8824	94.80***
γ leverage Additional response to negative shocks	-0.0430	-2.27**
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.00
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.00
λ₃ tau persistence Long-term factor persistence	0.9991	128.92***

V-Lab

Avino Silver & Gold Mins Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Avino Silver & Gold Mins Ltd Analyses