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Portfolio Construction with Active Managers: An Integrated Approach

Vineet Budhraja, Rui J. P. de Figueiredo, Janghoon Kim, Ryan Meredith

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Abstract

Alpha, or skill-based return, is a critical component of most investors' portfolios. Investors collectively spend enormous time and energy identifying active managers that can generate alpha and ultimately improve portfolio performance. Unfortunately, even if investors can identify managers who can generate positive alpha, these managers present a number of challenges from a portfolio construction standpoint. These challenges include short track records, biases in reported returns, and dynamic investment strategies. Most standard asset allocation approaches fail to deal with these challenges in a holistic fashion and are not very useful for helping investors determine allocations across active managers. Investors instead need new forecasting and optimization tools to deal with the portfolio construction difficulties that active managers present. Such tools have the potential to dramatically improve portfolio performance in practice, as compared to more traditional portfolio construction techniques.

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What this paper is about

Alpha, or skill-based return, is a critical component of most investors' portfolios. Investors collectively spend enormous time and energy identifying active managers that can generate alpha and ultimately improve portfolio performance. Unfortunately, even if investors can identify managers who can generate positive alpha, these managers present a number of challenges from a portfolio construction standpoint. These challenges include short track records, biases in reported returns, and dynamic investment strategies. Most standard asset allocation approaches fail to deal with these challenges in a holistic fashion and are not very useful for helping investors determine allocations across active managers. Investors instead need new forecasting and optimization tools to deal with the portfolio construction difficulties that active managers present. Such tools have the potential to dramatically improve portfolio performance in practice, as compared to more traditional portfolio construction techniques.

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Available abstract

Alpha, or skill-based return, is a critical component of most investors' portfolios. Investors collectively spend enormous time and energy identifying active managers that can generate alpha and ultimately improve portfolio performance. Unfortunately, even if investors can identify managers who can generate positive alpha, these managers present a number of challenges from a portfolio construction standpoint. These challenges include short track records, biases in reported returns, and dynamic investment strategies. Most standard asset allocation approaches fail to deal with these challenges in a holistic fashion and are not very useful for helping investors determine allocations across active managers. Investors instead need new forecasting and optimization tools to deal with the portfolio construction difficulties that active managers present. Such tools have the potential to dramatically improve portfolio performance in practice, as compared to more traditional portfolio construction techniques.

Key concepts: Portfolio, Application portfolio management, Asset allocation, Business, Project portfolio management, Asset (computer security), Black–Litterman model, Component (thermodynamics)

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