KOSPI 200 Volatility Index

CBOE Emerging Market Markets Volatility Index

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	0.0800	3.86***
αARCH	0.1856	9.97***
βGARCH	0.7994	35.08***
γleverage	-0.0216	-0.36
δpower	0.7251	3.22***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0800	3.86***
α ARCH Response to squared shocks	0.1856	9.97***
β GARCH Volatility persistence	0.7994	35.08***
γ leverage Additional response to negative shocks	-0.0216	-0.36
δ power Transformation power	0.7251	3.22***

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Yw Co Ltd Asy. Power MEM Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Yw Co Ltd Analyses