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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	2.8529	1.48
αARCH	0.1664	1.91*
βGARCH	0.8336	13.32***

Parameter	Value	t-statistic
ω const Unconditional variance weight	2.8529	1.48
α ARCH Response to squared shocks	0.1664	1.91*
β GARCH Volatility persistence	0.8336	13.32***

V-Lab

MindForge Inc GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other MindForge Inc Analyses