Abstract

Given an investment universe, we consider the vector [Formula: see text] of correlations of all assets to a portfolio with weights [Formula: see text]. This vector offers a representation equivalent to [Formula: see text] and leads to the notion of [Formula: see text]-presentative portfolio, that has a positive correlation, or exposure, to all assets. This class encompasses well-known portfolios, and complements the notion of representative portfolio, that has positive amounts invested in all assets (e.g. the market-cap index). We then introduce the concept of maximally [Formula: see text]-presentative portfolios, that maximize under no particular constraint an aggregate exposure [Formula: see text] to all assets, as measured by some symmetric, increasing and concave real-valued function [Formula: see text]. A basic characterization is established and it is shown that these portfolios are long-only, diversified and form a finite union of polytopes that satisfies a local regularity condition with respect to changes of the covariance matrix of the assets. Despite its small size, this set encompasses many well-known and possibly constrained long-only portfolios, bringing them together in a common framework. This also allowed us characterizing explicitly the impact of maximum weight constraints on the minimum variance portfolio. Finally, several theoretical and numerical applications illustrate our results.

Highlights

  • For more than a decade, new quantitative investment processes delivering an exposure to the overall market have attracted significant interest in the field of asset management

  • The results obtained in Secs. 5.2.1 and 5.2.2 allow to identify a priori how the objectives maximized by the MDP and MV are modified by the addition of maximum weight constraints, that are volatility-adjusted for the MDP

  • As an alternative to portfolio weights w, we have introduced the equivalent representation offered by the correlation spectrum ρ(w), i.e. the vector of correlations of a portfolio to all the assets of an investment universe

Read more

Summary

Introduction

For more than a decade, new quantitative investment processes delivering an exposure to the overall market have attracted significant interest in the field of asset management. A simple portfolio delivering such an exposure that is different from the market capitalization-weighted index is the -weighted portfolio (hereinafter EW). This is an Open Access article published by World Scientific Publishing Company. Following a very different path, in Fundamental Indexation (Arnott et al 2005), the authors proposed equity portfolios with weights proportional to key accounting measures such as sales, book value and earnings Such a portfolio is representative of a universe in the sense that it invests in each company in proportion to its “economic footprint” rather than its capitalization. A limitation of the method is that the modified matrix depends on Lagrange multipliers that are either known after the MV optimization or determined through a numerically demanding optimization (a constrained max likelihood on matrices)

Contributions of this paper
Assumptions and notations
Definition and key property of the correlation spectrum
Other properties of the correlation spectrum
MKT MV MDP EW EVW ERC long-short MDP
Maximally ρ-presentative Portfolios
Definition and equivalent characterization
Further comments on maximally ρ-presentative portfolios
A Framework for Constructing Alternative Strategies
The equal volatility-weighted portfolio
The most diversified portfolio
The equal risk contribution portfolio
An alternative definition of the constrained most diversified portfolio
An alternative definition of the constrained minimum variance
Implications of these alternative definitions
A unifying framework
Stability of the Set of Maximally ρ-presentative Portfolios
The Core Properties of the constrained MDP
A not-so-typical saddle-point problem
Realized max ρ-presentativity and realized diversification
Conclusions
A general composition formula for the spectrum of a portfolio of portfolios
Findings
Realized RMr
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call