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
mwindow	21
αARCH	0.5000	171.70***
βGARCH	0.7427	428.05***
γleverage	-0.5000	-176.37***
λ₁tau intercept	10.0000	62.95***
λ₂forecast adj.	0.0000	0.01
λ₃tau persistence	0.9786	437.27***

Parameter	Value	t-statistic
m window Rolling window length	21
α ARCH Response to squared shocks	0.5000	171.70***
β GARCH Volatility persistence	0.7427	428.05***
γ leverage Additional response to negative shocks	-0.5000	-176.37***
λ₁ tau intercept Baseline long-term coefficient	10.0000	62.95***
λ₂ forecast adj. Forecast performance sensitivity	0.0000	0.01
λ₃ tau persistence Long-term factor persistence	0.9786	437.27***

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