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	1.0182	4.40***
αARCH	0.3160	7.80***
βGARCH	0.6728	19.93***
γleverage	-0.3851	-0.58

Parameter	Value	t-statistic
ω const Unconditional variance weight	1.0182	4.40***
α ARCH Response to squared shocks	0.3160	7.80***
β GARCH Volatility persistence	0.6728	19.93***
γ leverage Additional response to negative shocks	-0.3851	-0.58

V-Lab

RGF Capital Markets Ltd AGARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other RGF Capital Markets Ltd Analyses