Strategic Asset Allocation with Unlisted Infrastructure: Better data for sensible results

Published:  February 2021
Author(s):
Noël Amenc
Frédéric Blanc-Brude
Abhishek Gupta
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We show how the traditional indexes used as proxies for unlisted infrastructure fail to represent the qualities of the asset class and how investors can carry out a simple asset allocation exercise to calculate the optimal allocation they should be making to unlisted infrastructure based on their individual portfolio needs.

Summary

In this paper, we show how the traditional indexes used as proxies for unlisted infrastructure fail to represent the qualities of the asset class. Listed infrastructure indices are highly correlated with the wider equity universe – if the asset class behaved in this way, there would be little point in investors buying it as it would not add much in terms of diversification or improving the risk-return profile of the portfolio. Appraisal-based indices are correlated with nothing at all, making them singularly useless for the task in hand – their construction gives results that are so “smooth” that volatility is very low and correlations close to zero, which would signal unrealistically high risk-return rewards that are simply unfeasible in the real world. EDHECinfra’s indices of unlisted infrastructure, on the other hand, such as the infra300®, represent the characteristics of this asset class well, making them the best available proxy for investors to use.

We also show how investors can carry out a simple asset allocation exercise to calculate the optimal allocation they should be making to unlisted infrastructure based on their individual portfolio needs. Using different optimisation techniques and parameters, and considering different investor profiles, our research signals consistent allocations to infrastructure in the region of 10%, many times current levels. Our indices also offer a granularity that can help portfolio design in a way that broader and less well-defined proxies are unlikely to achieve for those seeking to optimise risk-adjusted returns.