Benchmarking Gulf Private-Market Returns Against Global Portfolios

Introduction

Behind every statement that an investment has done well lies a comparison, and the comparison is rarely neutral. To say that a Gulf allocation has performed is to say that it has performed relative to something, cash, a public index, the investor’s other options, and the choice of that something, together with the measure applied to it, frequently determines the verdict more than the performance itself. An allocation that looks impressive measured gross and against cash can look ordinary measured net of fees and against the investor’s actual opportunity cost. For an institution deciding whether a Gulf allocation has earned its place, and whether to add to it, the discipline of benchmarking, choosing the right comparator and the right measure, is therefore not a technicality but the substance of the judgement.

This paper examines how the private-market returns of a Gulf allocation should be benchmarked against the global portfolio an institution would otherwise hold. It is written for the chief investment officer and the investment committee that have allocated, or are considering allocating, to the region, and that now face the practical question of how to assess whether the allocation is working, honestly and on a like-for-like basis. Its purpose is not to assert that the Gulf has outperformed or underperformed, which depends on the specific allocation, but to establish the framework within which that question can be answered without the distortions that careless benchmarking introduces.

The motivation is that private-market performance is unusually easy to misrepresent, not through dishonesty but through the choice of measure. The internal rate of return, the headline figure managers report, can be flattered by the timing of cash flows and by leverage; gross returns ignore the fees that determine what the investor keeps; comparison against cash or bonds flatters any risk asset; and the wide dispersion across managers and vintages means the average tells an institution little about what it actually experienced. A Gulf allocation, expressed substantially through private assets and assessed by an institution unfamiliar with the region, is especially exposed to these distortions, which makes a disciplined benchmarking framework particularly valuable here.

The paper makes three contributions. First, it sets out how the same underlying Gulf performance can support different conclusions depending on the benchmarking choices, gross versus net, the measure used, the comparator chosen, and the treatment of risk and illiquidity, and it argues for the choices that yield an honest verdict. Second, it applies the public-market-equivalent approach to ask the question that matters to an institution: did the Gulf sleeve beat what the investor would otherwise have held? Third, it emphasises the dominance of manager and vintage dispersion over the average, with implications for how an institution should interpret any benchmark. Throughout, the figures are modelled and clearly labelled; they illustrate the mechanics of benchmarking rather than report the performance of any specific allocation, and they are not forecasts.

Results And Discussion

This section presents the benchmarking framework and the supporting analysis in the order of the propositions: gross versus net and the choice of measure (Proposition 1); the public-market equivalent (Proposition 2); fees (Proposition 3); risk and illiquidity (Proposition 4); and dispersion (Proposition 5), together with the dependence of the conclusion on the benchmark chosen.

Gross versus Net, and the Choice of Measure

The first and most consequential benchmarking choices are whether to measure gross or net of fees, and which metric to use. Figure 1 contrasts gross and net returns for the Gulf sleeves against the global 60/40 benchmark.

Figure 1. Gross versus Net Returns: Gulf Sleeves versus Global 60/40

Indicative gross and net returns; the gap between gross and net is the fee load the investor does not keep.

The gap between the gross and net bars is the fee load, the share of the gross return the investor does not keep, and it is large enough that a comparison on gross figures materially overstates the advantage of the Gulf sleeves over the global benchmark. This supports the fee component of Proposition 1 and Proposition 3. The choice of metric compounds the issue: Figure 2 shows how a single allocation can tell four different stories depending on whether it is described by internal rate of return, by a value multiple, by a cash-return multiple or by a public-market equivalent.

Indicative; the same allocation summarised by IRR, TVPI, DPI and PME conveys very different impressions.

The metrics tell genuinely different things. The internal rate of return is high but sensitive to cash-flow timing and leverage; the value multiple shows total value created but not when; the cash-return multiple shows what has actually been distributed, which is lower; and the public-market equivalent shows performance relative to the investor’s alternative. An institution that anchors on the internal rate of return alone, the figure managers most readily report, will form a more favourable impression than the fuller picture supports. The discipline Proposition 1 requires is to read these measures together and to weight the net, distribution-based and opportunity-cost measures most heavily, because they best describe what the investor actually keeps and forgoes.

The Public-Market Equivalent: Did It Beat the Alternative?

The question that matters most to an institution is not whether a Gulf allocation produced a positive return but whether it beat what the institution would otherwise have held. The public-market equivalent answers exactly this, and Figure 3 reports it for the Gulf sleeves against the global benchmark.

Figure 3. Public-Market Equivalent: Did the Gulf Sleeve Beat Public Markets?

Indicative PME; a value above one means the sleeve beat the cash-flow-matched public alternative.

The PME values, above one for the well-selected sleeves, support Proposition 2: a well-chosen Gulf allocation can genuinely beat the investor’s public-market alternative on a cash-flow-matched basis. But two qualifications matter. First, the outperformance the PME shows is more modest than the gross-versus-cash comparison implies, because the PME is net and benchmarked against the investor’s real alternative rather than against cash; the discipline of the PME deflates the headline. Second, the PME shown is for a well-selected allocation, and, as Section 4.4 establishes, the dispersion is wide enough that a poorly selected allocation could show a PME below one, meaning it underperformed the public alternative. The PME is therefore the right measure precisely because it benchmarks against the genuine opportunity cost and on a net basis, and its verdict, positive but modest for good selection and potentially negative for poor selection, is the honest one that Proposition 2 anticipates.

The Weight of Fees

The fee load deserves separate emphasis because it is the most controllable determinant of the net result and the one most often understated in benchmarking. The gap between the gross and net bars in Figure 1 represents fees and carry, which in private markets consume a substantial and variable share of the gross return (Phalippou, 2009). For a Gulf allocation the implication is twofold. First, any benchmarking must be conducted net, because the gross figure is not what the investor keeps and a gross comparison flatters the allocation. Second, because the fee load varies across managers and structures, two allocations with the same gross return can deliver materially different net results, which means fee negotiation and structure selection, not only gross performance, determine the benchmarked outcome. This connects benchmarking to the broader discipline of net-to-investor returns: the institution that benchmarks net, and that negotiates the fees and waterfall that determine the net, will both measure and achieve a better result than one that focuses on gross performance alone.

Dispersion: Why the Average Misleads

The single most important caveat in benchmarking a Gulf allocation is that the average return tells an individual institution little about its own experience, because the dispersion across managers and vintages is large. Figure 4 illustrates the spread.

Figure 4. Why Vintage and Manager Dispersion Dominate

Indicative top-quartile, median and bottom-quartile net IRR across vintages; the spread is wide and persistent.

Implementation Considerations

The framework translates into a small number of practical commitments for an institution benchmarking a Gulf allocation.

Choose the Benchmark Before the Result

The first commitment is to define the benchmark, the investor’s genuine opportunity cost, and the measures, net, PME, risk- and illiquidity-adjusted, before assessing the allocation, so that the standard is not chosen after the fact to suit the result. Defining the benchmark in advance, ideally in the original mandate, removes the temptation to select the comparator that flatters and ensures that the allocation is judged against the alternative the institution actually forwent.

Benchmark Net, Against the Real Alternative

The second commitment is to benchmark net of all fees and against the portfolio the institution would otherwise have held, using the public-market equivalent as the primary measure. This is the comparison that answers the question that matters, did the allocation beat the alternative?, and it is the comparison most resistant to the distortions that flatter private-market performance. Cash and bond benchmarks should be avoided as primary comparators, because they flatter any risk asset and tell the institution nothing about its real choice.

Read the Average Alongside the Dispersion

The third commitment is to interpret any benchmark of the average alongside the dispersion, comparing the institution’s own managers against the relevant quartiles rather than the mean. Because selection dominates the experienced return, an institution should assess whether its managers are top-quartile or median, and should attribute its result to its selection rather than to the market. This also disciplines future decisions: an institution that recognises its result as the product of its selection, good or bad, learns the right lesson, whereas one that credits or blames the market average learns the wrong one.

It is worth drawing out a connection that runs through the analysis: that honest benchmarking and good decision-making are the same discipline viewed from two angles. The institution that benchmarks its Gulf allocation honestly, net, against its real alternative, risk-adjusted, attributed and read against the dispersion, is the institution best placed to decide whether to add to it, hold it or exit it, because it understands what the allocation actually achieved and why. The institution that benchmarks carelessly understands neither, and its decisions about the allocation’s future will be correspondingly poor. Benchmarking is therefore not a backward-looking scorekeeping exercise but the foundation of forward-looking judgement, and the rigour an institution brings to assessing the past directly determines the quality of its decisions about the future. This is the deepest reason to invest in the discipline: not to produce a number, but to see clearly enough to decide well.

A final reflection concerns the relationship between honest benchmarking and the credibility of the broader case for the Gulf. It might be thought that a rigorous, deflating benchmarking framework works against the case for allocating to the region, since it shows the outperformance to be more modest than the flattering comparisons imply. The opposite is true. A case for the Gulf that rests on flattering, gross-versus-cash comparisons is fragile, because it collapses the moment a sceptic applies a fair benchmark; a case that survives honest benchmarking, net, against the real alternative, risk-adjusted, is robust precisely because it has been tested by the hardest fair standard. By providing that standard, this paper strengthens rather than weakens the credible case for the Gulf: it separates the genuine, defensible outperformance of a well-selected allocation from the illusory outperformance of a flatteringly measured one, and it equips the institution to pursue the former with confidence. The honest benchmark is the friend of the allocator who has chosen well and the enemy only of the one who has measured carelessly, and that is exactly as it should be.

Concluding Comments

This paper has examined how the private-market returns of a Gulf allocation should be benchmarked against the global portfolio an institution would otherwise hold, and has argued that the benchmarking choices, more than the underlying performance, frequently determine the verdict. The findings are consistent across the propositions. The verdict depends heavily on whether performance is measured gross or net and by which metric, with net measures and the public-market equivalent giving a more modest and more honest result than the headline internal rate of return (Proposition 1). Benchmarked by the public-market equivalent against the investor’s actual portfolio, a well-selected Gulf allocation can show genuine outperformance, but smaller than gross-versus-cash comparisons imply (Proposition 2). A fair comparison must be net of fees, which consume a substantial and variable share of the gross return (Proposition 3). Part of any excess is compensation for illiquidity and risk rather than skill, which a fair benchmark must recognise (Proposition 4). And manager and vintage dispersion dominate the average, so the institution’s own selection determines its experienced return (Proposition 5).

The implication for the institution is that benchmarking a Gulf allocation is a discipline to be designed in advance and applied honestly, not a number to be produced after the fact. The institution that defines its benchmark and measures before allocating, assesses net of fees against its genuine opportunity cost, adjusts for risk and illiquidity, and reads the average alongside the dispersion, will reach a verdict it can trust and act on. The institution that allows the benchmark to be chosen to suit the result, or that anchors on the flattering gross-versus-cash comparison, will mis-judge its allocation and may either abandon a sound one on a misleadingly modest verdict or add to a weak one on a misleadingly strong one. Honest benchmarking, in short, is not only how an institution measures the past but how it governs the future of the allocation.