The Stochastic Programming Extension of the Markowitz Approach

Auteur(s)

Karl Frauendorfer

Accéder

Description

The stochastic programming methodology applied to the Markowitz approach yields a multistage mean-variance model. The structural properties of the efficient portfolios and the efficient frontiers are derived taking into consideration stochastic dynamic evolvements of the variance-covariance matrices and expected rates of returns over a finite, discrete planning horizon. An aggregation principle is introduced which allows for solving a deterministic convex quadratic single period equivalence program.

Langue

English

Date

1995

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