How volatility evolves over time

How illiquidity evolves over time

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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	1.2122	5.08***
αARCH	0.1493	3.83***
βGARCH	0.8274	18.31***

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.2122	5.08***
α ARCH Response to squared shocks	0.1493	3.83***
β GARCH Volatility persistence	0.8274	18.31***

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Nanshan Aluminium Internatio Spline ILLIQ Liquidity Analysis

Date Range:

News Impact Curve

Illiquidity Forecast

Parameter Estimates

Other Nanshan Aluminium Internatio Analyses