Boards, CIOs, and investment committees rely heavily on performance measures such as alpha, tracking error, and information ratios to evaluate investment managers and support decisions involving retention, compensation, and diversification. However, the central challenge is often communicating what these performance measures actually mean for boards, investment committees, clients, and other fiduciaries. Performance statistics are often presented as clear indicators of skill, but they frequently reflect a mix of systematic risk exposures, benchmark effects, and portfolio-positioning decisions. When institutions do not clearly communicate these distinctions, they risk rewarding compensated risk rather than true skill, misunderstanding the benefits of diversification, and making board and client decisions based on incomplete interpretations of performance data. In this article, we develop a practical framework for communicating performance complexity by emphasizing the importance of identifying the sources of return, interpreting tracking error as a diagnostic measure rather than a performance score, and evaluating diversification based on underlying exposures rather than the number of managers. The central argument is that effective board oversight and fiduciary decision making depend on clearly communicating what existing performance measures reveal and, equally important, what they do not reveal. This article focuses on translating performance complexity into clear discussion in board meetings, quarterly reviews, and client reporting. By treating performance reports as communication tools that support board discussion and fiduciary dialogue rather than as mechanical decision rules, institutions can improve manager evaluation, strengthen board oversight, and enhance communication with boards, clients, and other stakeholders.
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Fabozzi et al. (2026) studied this question.
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