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	1.7494	2.99***
αARCH	0.0927	6.49***
βGARCH	0.8276	45.19***
γleverage	-3.1184	-2.52**

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.7494	2.99***
α ARCH Response to squared shocks	0.0927	6.49***
β GARCH Volatility persistence	0.8276	45.19***
γ leverage Additional response to negative shocks	-3.1184	-2.52**

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India NSE Volatility Index AGARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other India NSE Volatility Index Analyses