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	0.0248	2.95***
αARCH	0.0488	7.69***
βGARCH	0.9500	176.06***
γleverage	0.1518	3.21***
δpower	1.8207	7.41***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0248	2.95***
α ARCH Response to squared shocks	0.0488	7.69***
β GARCH Volatility persistence	0.9500	176.06***
γ leverage Additional response to negative shocks	0.1518	3.21***
δ power Transformation power	1.8207	7.41***

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Samsung Electronics Co Ltd APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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