CBOE Volatility Index

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How volatility evolves over time

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{name} Model Equation

How returns affect tomorrow's volatility

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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	0.0000
αARCH	0.0712	39.88***
βGARCH	0.9873	912.45***
νDF	2.8262	27.03***

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0000
α ARCH Response to squared shocks	0.0712	39.88***
β GARCH Volatility persistence	0.9873	912.45***
ν DF Student-t tail thickness	2.8262	27.03***

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First Trust India Nifty 50 Equ GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other First Trust India Nifty 50 Equ Analyses