JSE Securities South African 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	0.8256	1.22
αARCH	0.1134	3.79***
βGARCH	0.8341	24.91***
γleverage	-0.0874	-0.76
δpower	1.9008	3.99***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.8256	1.22
α ARCH Response to squared shocks	0.1134	3.79***
β GARCH Volatility persistence	0.8341	24.91***
γ leverage Additional response to negative shocks	-0.0874	-0.76
δ power Transformation power	1.9008	3.99***

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JSE Securities South African Volatility Index APARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other JSE Securities South African Volatility Index Analyses