Alternative Investment Performance and Returns: Explains Understanding the Nature of Alternative Investment Returns and Common Performance Measures with clear explanations, key formulas, and worked examples, plus practice questions with explanations for CFA Level 1.
Alternative investments are different from the typical publicly traded world of stocks and bonds in significant ways. First, they often involve long time horizons—think 5 to 10 years, or even longer. Second, many alternative strategies are not as liquid; a portion of your capital can be locked up in an investment vehicle that might not allow easy entry or exit. Third, valuations can be tricky because you might not have a daily price feed like you do for a publicly traded asset. And, well, if your only reference to a “fair value” is a quarterly fund report or an annual audit, it’s easy to see the challenges in figuring out how well the investment is really doing.
Hedge funds, private equity, real estate partnerships, and venture capital funds might have unique legal structures and cash flow distributions. For instance, a private equity fund will call capital from investors over time (capital calls), invest that capital, and eventually distribute proceeds once the investments are sold or realize gains (distributions). The performance measurement for these illiquid assets is, therefore, more nuanced than just comparing day-to-day or month-to-month returns.
Let’s break down a few of the more common methods used to capture the performance of these investments. You’ll see that each serves a particular purpose, and each can be manipulated or misunderstood if you’re not careful.
I still recall the first time I played around with IRR in a spreadsheet. There was trial and error. A lot of it. IRR is the discount rate that equates the net present value (NPV) of an investment’s cash inflows and outflows to zero. In other words, if you invested a series of cash flows in a project or fund at certain points in time—and you get distributions (or returns) at other points—what constant annual rate would make all these cash flows sum up to zero?
In the context of alternative investments, IRR is often used to measure private equity or venture capital performance, because the actual flow of money in and out of the fund is so important. However, one pitfall is that IRR can overemphasize early distributions or opportunistic debt usage.
When I was working with a friend on a hypothetical real estate project, we put together a timeline of capital calls, monthly net operating income, and final sale proceeds. The IRR formula is built to handle exactly that. But if you’re not modeling it carefully—especially with the exact timing of each cash flow—you can come up with a misleading IRR. So always double-check your data.
A simplified timeline for IRR might look like this:
flowchart LR
A["Year 0: Invest $1,000,000"] --> B["Year 1: Receive partial<br/>distribution of $200,000"]
B --> C["Year 2: Capital call of +$100,000"]
C --> D["Year 3: Distribution of $400,000"]
D --> E["Year 5: Final distribution of $1,000,000"]
In the flow above, the IRR is the single discount rate that makes all these inflows and outflows sum to zero in net present value terms.
Another key measure is the multiple of invested capital, known as MOIC. Sometimes you’ll hear it referred to as a “multiple” or by sub-terms like TVPI (total value to paid-in capital), RVPI (residual value to paid-in capital), and DPI (distributions to paid-in capital).
Where IRR focuses on time and the rate of return, these multiples focus on the total scale of return. If you hear something like “the fund achieved a 2.5x multiple on invested capital,” that typically means that for every $1 the limited partners put in, they got back $2.50, net of fees and expenses (assuming it’s net). It’s easy to see how this can be a straightforward measure, but it doesn’t account for how long it took to earn that multiple. A 2.5x return in two years is a whole lot different than a 2.5x return in ten years, which is where IRR adds color.
Time-weighted returns measure the performance by calculating the growth of $1 over consecutive time periods, ignoring the size and timing of cash flows. So, in a sense, time-weighted returns are refined to measure the skill of an investment manager—how well they manage the sub-period returns—because we effectively neutralize the effect of big inflows or outflows. This is typically how mutual funds or hedge funds measure performance, especially if they have frequent subscriptions and redemptions by investors.
On the other hand, money-weighted returns (like IRR) consider the exact timing and magnitude of cash flows, which is more relevant if the manager is in control of when to call capital and distribute it. In private equity, for example, money-weighted returns are more revealing because so much of the manager’s “skill” also lies in the decisions about when to invest and when to exit.
So, you might wonder, “Why does that fancy private equity presentation say they returned 25% but the investor statements show only 18%?!” Well, fees. It’s all about fees—management fees, incentive fees, and carried interest.
All these fees can eat into your returns significantly. If you want to understand how the investors actually fared, you need to look at after-fee returns, often called “net” returns.
Many private funds use what’s called a “waterfall structure” to spell out precisely how distributions flow. Typically, you’ll see something like:
Here’s a rough sketch of a simplified waterfall:
flowchart LR
A["Fund Distributions"] --> B["Return of Capital to LPs"]
B --> C["Preferred Return<br/>(e.g. 8%) to LPs"]
C --> D["Catch-up to GP<br/>until GP receives 20%"]
D --> E["Split 80/20 (LP/GP)<br/>above hurdle rate"]
While real-world waterfalls can be more complex, this helps illustrate how multiple layers of fees and allocations happen before the investor’s net return is calculated.
Once you have a handle on the performance metrics, you might ask, “Compared to what?” That’s the essence of benchmarking, and with alternative investments, it’s not always easy. There’s no S&P 500 for private equity or real estate, at least not in the same sense of uniform structure and liquidity.
So, you often have to be cautious and ask a few questions, like: Are these benchmarks net-of-fees? Are they the right vintage year? Is the strategy the same (e.g., buyout vs. growth equity)? If not, you might get misled.
Let’s imagine a private equity fund, Redwood Growth Partners I, launched in Year 0 with $100 million of committed capital from limited partners (LPs). The GP invests the capital in mid-sized manufacturing companies over the next three years and then gradually exits them over the following five years.
If we look at the IRR, maybe the result is 17% net of fees. The MOIC might be $160 million distributions / $80 million invested = 2.0x. If you consider time-weighted returns, it might differ because the capital calls come at different points, and the manager invests in cycles.
To see how Redwood Growth Partners compares to others, we might examine Cambridge Associates’ Private Equity benchmark for the 2015 vintage year (assuming Redwood started in 2015). If Redwood’s IRR is above the median or top quartile, Redwood might be considered a successful fund. But keep in mind: Redwood’s strategy and geography also matter. For a fair comparison, Redwood should be matched against other U.S.-focused mid-market buyout funds from 2015.
In real estate, the issues are similar but can be extra complicated by property-level leverages and varying local markets. For instance, if you invest in a real estate private equity fund that focuses on mixed-use properties in major cities, you might get periodic cash flow from rents, plus a big capital gain upon sale. The IRR calculation is crucial: the earlier they can sell a property at a profit, the better the IRR. But if the sale is delayed or if leases take too long to get signed, that IRR can deflate.
Additionally, you might have years with no distributions at all but heavy capital expenditures. That’s where MOIC can come in handy, giving an indication of your eventual total payoff. And to compare performance, you might rely on a specialized real estate index produced by NCREIF or other data providers, but each index might track different property types or geographies, so always read the fine print.
Here are a few tips to keep in mind, gleaned from personal experience (and some mild heartbreak along the way):
Below is a conceptual diagram showing how manager skill (time-weighted) can differ from investor experience (money-weighted) in a single fund. Notice the difference in perspective:
flowchart TB
A["High Return in Year 1 <br/>(Manager invests capital)"] --> B["Significant Inflow from Investors (LPs)"]
B --> C["Return Dips in Year 2 <br/>(Market conditions affect valuations)"]
C --> D["Less investor capital in the fund at high growth <br/> (impacts money-weighted return)"]
D --> E["Time-weighted return might show less impact <br/> because sub-periods are treated equally"]
Measuring alternative investment performance is both an art and a science. You’ve got to juggle IRR, MOIC, time-weighted returns, fee structures, and incomplete or illiquid data. But once you understand the logic behind each metric—and how to layer in real-world details like distribution waterfalls or clawback provisions—your insights can become far more actionable.
Alternative investments can be incredibly rewarding but also carry distinct risks and complexities. Hopefully, this discussion helps demystify some of the key elements around performance measurement and—maybe, just maybe—saves you from that coffee spill of confusion I went through many years ago.
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