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ConstrainedQuadraticPortfolioOptimiser

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Function Description

Returns a vector  (and three further values indicating the total asset weight, the return and the risk of the portfolio in that order) that maximises the following investor utility function subject to lower bound constraints of the form  and  further (linear) constraints of the form  and .

 

 

Here  are the portfolio weights (so typically we impose at least the following constraint ),  is the benchmark (or ‘minimum risk’ portfolio),  is a vector of assumed returns on each asset and  is the covariance matrix (, where  is the vector of risks on each asset class, here assumed to be characterised by their volatilities, as this approach is merely a mean-variance one, and  their correlation matrix).

 

Constraints are coded -1 for , 0 for  and +1 for . For example, if ,  and the additional linear constraints are  and  then:

 

 


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Output type / Parameter details

Output type: Double()
Parameter NameVariable TypeDescription
MinimumRiskPortfolioDouble()Vector characterising the benchmark, i.e. minimum risk portfolio (n terms)
LambdaDoubleRisk aversion parameter
ForecastReturnsDouble()Vector of assumed returns from different assets (n terms)
ForecastRisksDouble()Vector of assumed risks (volatilities) of different assets (n terms)
ForecastCorrelationsDouble()Array of assumed correlations between different assets (n x n terms)
LowerBoundsDouble()Vector containing the lower bounds on portfolio weights (n terms)
ConstraintMatrixDouble()Array containing the constraint coefficients applicable to the problem (m x n terms)
ConstraintLimitsDouble()Vector containing the constraint limits applicable to the problem (m terms)
ConstraintTypesInteger()Vector containing constraint types (-ve is a less than constraint, 0 is an equals constraint and +ve is a greater than) (m terms)

Links to:

-          Interactively run function

-          Interactive instructions

-          Example calculation

-          Output type / Parameter details

-          Illustrative spreadsheet

-          Other Portfolio optimisation functions

-          Computation units used


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