Capital Allocators – Inside the Institutional Investment Industry · Ted Seides – Allocator and Asset Management Expert

[REPLAY] Raphael Arndt – Australia's Sovereign Wealth Fund CIO

·1 hr 26 min·5 clips

Why the Futures Fund allocates 20% of its hedge fund book to strategies designed to lose money in most scenarios.

Raph explains how his team handles a manager universe that is too large to track one account at a time. He describes separate accounts built to reduce overlap across underlying managers. Each manager may run a concentrated long-short book. The system rolls those positions up into a single view. That aggregation can be studied on its own or layered onto the long-only portfolio. The aim is to spot concentration before it turns into a problem. It also helps show whether a rotation is happening inside the broader book. From there, the team can use that information in its own portfolio construction. Raph stresses that the goal is not only visibility. It is figuring out where the alpha is actually coming from. The conversation then moves to fund-of-funds and large multi-manager hedge funds. He notes that his manager list is public and includes names such as Citadel. The real question, in his view, is what the allocator is getting after everything is combined. He returns to the difference between skill and broad market exposure. Some large hedge funds deliver a lot of beta. That beta can come from equity exposure, credit exposure, or other systematic sources. He is not interested in paying for that part of the return. Instead, he wants to isolate the useful piece. He describes using regressions against factors such as carry, commodities, and broad asset betas. That analysis helps show where the return is coming from. Only the useful piece earns a fee. The episode keeps coming back to the same institutional habit. Break performance apart before deciding what to reward. The closing exchange lands on a more personal lesson. Raph says he learned he does not know all the answers. He also learned that other people often do, or at least see the problem differently. That becomes a compact summary of the allocator's job: listen, compare, and stay alert to what the numbers are really saying.

As heard by us

A clear look at how a large allocator separates skill from costly beta.

Raphael Arndt's conversation focuses on how a large allocator makes a sprawling manager roster easier to read. The strongest stretch moves from broad allocation logic into aggregation, overlap, concentration, rotation, and the search for where alpha is really coming from in a…

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Hear how allocators separate paid skill from expensive beta.

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