India NSE Volatility Index

CBOE Emerging Market Markets Volatility Index

How volatility evolves over time

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{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	0.7158	5.64***
αARCH	0.3436	1.66*
βGARCH	0.1722	0.71

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.7158	5.64***
α ARCH Response to squared shocks	0.3436	1.66*
β GARCH Volatility persistence	0.1722	0.71

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