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
ωconst	4.2801	2.15**
αARCH	0.0691	6.83***
βGARCH	0.8600	97.35***
γleverage	0.1417	5.86***

Parameter	Value	t-statistic
ω const Unconditional variance weight	4.2801	2.15**
α ARCH Response to squared shocks	0.0691	6.83***
β GARCH Volatility persistence	0.8600	97.35***
γ leverage Additional response to negative shocks	0.1417	5.86***

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Hong Ho Precision Textile Co Asymmetric ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Hong Ho Precision Textile Co Analyses