CVaR for Gain for Mixture of Normal Independent. Consider a mixture of (random) Linear Gain functions with positive weights summing up to one. Coefficients in all Linear Gain functions are independent normally distributed random values. avg_cvar_risk_ni_g is the CVaR of the mixture of Normally Independent random values.
Syntax
avg_cvar_risk_ni(α, matrix_mn, matrix_vr) |
short call; |
avg_cvar_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
CVaR for Gain for Mixture of Normal Independent function with confidence level is calculated by minimizing of the next expression which includes Average Partial Moment Penalty for Gain Normal Independent (avg_pm_pen_ni):
.
is an argument of function.
Example
See also
CVaR for Mixture of Normal Independent
CVaR,
CVaR Normal Independent, CVaR Normal Dependent,
CVaR Deviation, CVaR Deviation Normal Independent, CVaR Deviation Normal Dependent,
CVaR Deviation for Mixture of Normal Independent
CVaR for Discrete Distribution as Function of Atom Probabilities, CVaR for Mixture of Normal Distributions as Function of Mixture Weights