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	101
αARCH	0.3600	8.81***
βGARCH	0.6186	22.54***
γleverage	-0.1381	-2.15**
λ₁tau intercept	2.5805	0.55
λ₂forecast adj.	0.9232	6.85***
λ₃tau persistence	0.0000	0.59

Parameter	Value	t-statistic
m window Rolling window length	101
α ARCH Response to squared shocks	0.3600	8.81***
β GARCH Volatility persistence	0.6186	22.54***
γ leverage Additional response to negative shocks	-0.1381	-2.15**
λ₁ tau intercept Baseline long-term coefficient	2.5805	0.55
λ₂ forecast adj. Forecast performance sensitivity	0.9232	6.85***
λ₃ tau persistence Long-term factor persistence	0.0000	0.59

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Zhejiang Century Huatong Group Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Zhejiang Century Huatong Group Co Ltd Analyses