Deutsche Bank FX 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	3.7338	2.74***
αARCH	0.2709	3.05***
βGARCH	0.6405	10.61***
γleverage	-0.1002	-0.68

Parameter	Value	t-statistic
ω const Unconditional variance weight	3.7338	2.74***
α ARCH Response to squared shocks	0.2709	3.05***
β GARCH Volatility persistence	0.6405	10.61***
γ leverage Additional response to negative shocks	-0.1002	-0.68

V-Lab

Ripple to US Dollar GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

Other Ripple to US Dollar Analyses