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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	386.6497	1.98**
αARCH	0.1477	25.75***
βGARCH	0.9748	83.09***
νDF	2.1711	97.31***

Parameter	Value	t-statistic
ω const Unconditional variance weight	386.6497	1.98**
α ARCH Response to squared shocks	0.1477	25.75***
β GARCH Volatility persistence	0.9748	83.09***
ν DF Student-t tail thickness	2.1711	97.31***

V-Lab

Smart Powerr Corp GAS-GARCH Student T Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Smart Powerr Corp Analyses