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Worst Case Portfolio Optimization and HJB-Systems
Mogens Steffensen / Ralf Korn
partial differential equations / portfolio managementResource overview

Worst Case Portfolio Optimization and HJB-Systems

Paper

by Mogens Steffensen, Ralf Korn

Tags
partial differential equationsportfolio managementportfolio optimization

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Understand this paper

Suggested foundations for portfolio construction and optimisation and numerical methods. Specialist prerequisites vary by paper.

Before you read

  1. Eigenvalues and Covariance Matrices

    Understand the covariance structure of portfolio risk.

  2. Constrained and Convex Optimisation

    Identify the objective, constraints and conditions for an optimum.

  3. Vectors, Matrices and Linear Systems

    Read the linear algebra used to define a numerical problem.

Go further

  1. Mean-Variance Optimisation

    Construct allocations and examine sensitivity to estimated inputs.

  2. Portfolio Constraints

    Turn mathematical weights into feasible portfolio decisions.

  3. Calibration as an Inverse Problem

    Understand identifiability and fitted model parameters.

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Explore Portfolio Theory and Quantitative Investment Explore Linear Algebra, Optimisation and Numerical Methods

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