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	21
αARCH	0.1506	1.85*
βGARCH	0.8812	22.90***
γleverage	-0.0659	-0.93
λ₁tau intercept	0.0000	0.05
λ₂forecast adj.	0.3854	0.83
λ₃tau persistence	0.6146	1.42

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.1506	1.85*
β GARCH Volatility persistence	0.8812	22.90***
γ leverage Additional response to negative shocks	-0.0659	-0.93
λ₁ tau intercept Baseline long-term coefficient	0.0000	0.05
λ₂ forecast adj. Forecast performance sensitivity	0.3854	0.83
λ₃ tau persistence Long-term factor persistence	0.6146	1.42

V-Lab

Guizhou Qianyuan Power Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Guizhou Qianyuan Power Co Ltd Analyses