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A Quadratic Programming Formulation of the Portfolio Selection Model

Published online by Cambridge University Press:  11 August 2014

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1. Kennedy & Howroyd (1956) have discussed the application of the Lagrangian multiplier technique to actuarial problems. This technique permits the analytical solution of constrained optimization problems, where both the function to be optimized and the constraints must satisfy stringent analytical conditions. In particular, the first derivatives of all functions must exist.

When constraints comprise inequality as well as equation restrictions, as is the case in linear and non-linear programming, then the conditions required for the Lagrangian multiplier technique do not hold. It was therefore found necessary to develop a new body of techniques, known as mathematical programming techniques, for the solution of constrained optimization problems involving inequality constraints.

Type
Research Article
Copyright
Copyright © Institute of Actuaries Students' Society 1962

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References

REFERENCES

Kennedy, S. P. L. & Howroyd, R. C. (1956). The application of constrained maxima and minima to some actuarial problems. J.S.S. 13, 260.Google Scholar
Wolfe, P. (1959). The simplex method for quadratic programming. Econometrica, July.Google Scholar
Markowitz, H. M. (1959). Portfolio Selection, Cowles Commission Monograph, no. 16, Wiley.Google Scholar