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
mwindow	41
αARCH	0.1405	16.20***
βGARCH	0.8093	115.09***
γleverage	-0.1405	-2.38**
λ₁tau intercept	0.0354	0.59
λ₂forecast adj.	0.0512	3.23***
λ₃tau persistence	0.9463	55.27***

Parameter	Value	t-statistic
m window Rolling window length	41
α ARCH Response to squared shocks	0.1405	16.20***
β GARCH Volatility persistence	0.8093	115.09***
γ leverage Additional response to negative shocks	-0.1405	-2.38**
λ₁ tau intercept Baseline long-term coefficient	0.0354	0.59
λ₂ forecast adj. Forecast performance sensitivity	0.0512	3.23***
λ₃ tau persistence Long-term factor persistence	0.9463	55.27***

V-Lab

Jiangsu Pacific Quartz Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Jiangsu Pacific Quartz Co Ltd Analyses