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	51
αARCH	0.4316	3.38***
βGARCH	0.7792	24.25***
γleverage	-0.4316	-2.14**
λ₁tau intercept	1.2058	2.11**
λ₂forecast adj.	0.0000	0.56
λ₃tau persistence	0.0004	19.04***

Parameter	Value	t-statistic
m window Rolling window length	51
α ARCH Response to squared shocks	0.4316	3.38***
β GARCH Volatility persistence	0.7792	24.25***
γ leverage Additional response to negative shocks	-0.4316	-2.14**
λ₁ tau intercept Baseline long-term coefficient	1.2058	2.11**
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.56
λ₃ tau persistence Long-term factor persistence	0.0004	19.04***

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Shenzhen Zhongheng Huafa Co Ltd ILLIQ-MFMEM Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Shenzhen Zhongheng Huafa Co Ltd Analyses