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	0.6063
αARCH	0.3718
βGARCH	0.6282

γ₁	1.2611
γ₂	0.3182
γ₃	-3.7620
γ₄	0.9593

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.6063
α ARCH Response to squared shocks	0.3718
β GARCH Volatility persistence	0.6282

γ₁	1.2611
γ₂	0.3182
γ₃	-3.7620
γ₄	0.9593

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China Yangtze Power Co Ltd Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other China Yangtze Power Co Ltd Analyses