VaR for Mixture of Normal Independent. Consider a mixture of (random) Linear Loss functions with positive weights summing up to one. Coefficients in all Linear Loss functions are independent normally distributed random values. avg_var_risk_ni is the VaR of the mixture of Normally Independent random values.
Syntax
avg_var_risk_ni(α, matrix_mn, matrix_vr) |
short call; |
avg_var_risk_ni_name(α, matrix_mn, matrix_vr) |
call with optional name. |
Parameters
matrix_mn is a PSG matrix of mean values:
where the header row contains names of variables. Other rows contain numerical data.
matrix_vr is a PSG matrix of variance values:
where the header row contains names of variables. Other rows contain numerical data.
is a confidence level.
Mathematical Definition
VaR for Mixture of Normal Independent function with confidence level is calculated by minimizing of threshold under constraint on Average Probability of Exceedance Penalty Normal Independent:
.
is an argument of Average VaR Normal Independent function.
Example
See also
VaR for Gain for Mixture of Normal Independent,
VaR,
VaR Normal Independent, VaR Normal Dependent,
VaR Deviation, VaR Deviation Normal Independent, VaR Deviation Normal Dependent,
VaR Deviation for Mixture of Normal Independent