India NSE 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	6.9665	0.37
αARCH	0.2342	2.05**
βGARCH	0.9990	442.04***
νDF	2.0000	5,970.15***

Parameter	Value	t-statistic
ω const Unconditional variance weight	6.9665	0.37
α ARCH Response to squared shocks	0.2342	2.05**
β GARCH Volatility persistence	0.9990	442.04***
ν DF Student-t tail thickness	2.0000	5,970.15***

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