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A mean-variance optimized portfolio constructed for investment in a reference security, for an investor with a preference towards an accepted set of securities
Sidharth Mallik
optimization / portfolio managementResource overview

A mean-variance optimized portfolio constructed for investment in a reference security, for an investor with a preference towards an accepted set of securities

Paper2022

by Sidharth Mallik

Tags
optimizationportfolio 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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