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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	0.0003	2.77***
αARCH	0.0992	4.11***
βGARCH	0.8879	74.97***
γleverage	0.0120	0.34

Parameter	Value	t-statistic
ω const Unconditional variance weight	0.0003	2.77***
α ARCH Response to squared shocks	0.0992	4.11***
β GARCH Volatility persistence	0.8879	74.97***
γ leverage Additional response to negative shocks	0.0120	0.34

V-Lab

Bloomberg Japanese Aggregate Bond Index Total Return Value Unhedged JPY GJR-GARCH Volatility Analysis

Date Range:

News Impact Curve

Volatility Forecast

Parameter Estimates

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