Compare and contrast the money-weighted and time-weighted rates of return, understand their relevance in evaluating portfolios, and identify when each approach is most appropriate.
I remember once chatting with a friend who was absolutely convinced his portfolio was on fire—he had been adding money whenever he felt extra cash was sitting around and withdrawing whenever he found some hot new gadget to buy. Then he proudly told me the portfolio’s return that month, and I had to pause: “Wait… are you calculating the return based on your inflows and outflows, or just ignoring them altogether?” He looked at me like I’d just asked him to solve a riddle. And, well, that’s exactly how many investors feel when first confronted with the concepts of money-weighted vs. time-weighted returns.
In this section, we’re going to dissect these two methods of measuring performance, highlight their sneaky differences, and see why it matters in the real world. You might be surprised how choosing one or the other can lead to significantly different results, especially if you like to frequently tinker with your investments. So let’s explore why the industry standard for performance evaluation is one measure (the time-weighted rate of return, or TWRR) while personal investors often care more about another measure (the money-weighted rate of return, or MWRR).
The Money-Weighted Rate of Return (MWRR) is also known as the Internal Rate of Return (IRR). It’s the discount rate that sets the net present value (NPV) of an investment’s cash flows to zero. Put another way, MWRR incorporates the exact timing and size of all cash inflows (contributions) and outflows (withdrawals) in a portfolio. This is especially useful if you, as an investor, exercise active control over how much you invest and when you do so.
Mathematically, we can express the IRR condition as:
where \(\text{CF}_t\) represents the cash flow at time \(t\). Negative cash flows (i.e., investments into the portfolio) enter with a minus sign if you treat them as outflows, and positive ones represent portfolio withdraws or the final liquidation.
• Reflects Actual Investor Experience. If you’re personally deciding when to add or remove money, your personal portfolio return is effectively captured by this measure. It shows the growth rate of the money you actually invest.
• Sensitive to Timing. MWRR can deviate sharply from other return measures if you happen to drop a large contribution into the account right before a market decline (or if you redeem a large chunk before a strong upswing).
Here’s where the confusion can arise though: large deposits and withdrawals heavily influence the MWRR. If you contribute a huge amount right at a market peak, your MWRR might end up punishing what otherwise might have been a decent sequence of portfolio returns. Every contribution or withdrawal re-weights the portfolio’s performance based on the amount of money actually invested in different time periods.
Suppose you invest $10,000 at the start of Year 1. At the end of Year 1, the portfolio is worth $11,000. You then contribute an additional $20,000 at the start of Year 2, bringing the total invested capital to $31,000. At the end of Year 2, the overall balance is $35,000, and you decide to withdraw everything. Your cash flows look like this:
• At \(t=0\): \(-$10,000\)
• At \(t=1\): \(-$20,000\) (since you contribute more at the start of Year 2)
• At \(t=2\): \(+$35,000\)
To find MWRR, we solve:
Yes, that looks messy, but it essentially says: how do we discount these cash flows so that they sum to zero? Once you find that \(r\), that’s the MWRR.
Anyway, it can be a bit of an algebraic puzzle. In practice, you often rely on spreadsheet formulas (e.g., IRR in Excel) or a financial calculator to get the solution. The point is that the magnitude and timing of each contribution or withdrawal has a big effect on the final rate.
Imagine you’re a portfolio manager. You get assigned certain assets to manage, but your client, for personal reasons, might add or remove cash from the portfolio at random intervals. That’s obviously out of your control. The question is: how well are you performing as a manager, ignoring those unpredictable money flows? That’s what Time-Weighted Rate of Return aims to capture.
TWRR focuses on the growth of a single unit of currency invested in the portfolio. It breaks the investment horizon into subperiods—often each day, month, or quarter—whenever there’s a cash flow. Within each subperiod, you calculate that subperiod return ignoring new contributions or withdrawals. Then you link these subperiod returns geometrically, effectively “chaining” them together.
Mathematically, if you have subperiod returns \(R_1, R_2, \dots, R_n\), then:
This approach ensures each subperiod’s performance is equally weighted, regardless of how much money was in the account at the time.
Below is a simplified Mermaid diagram illustrating the concept of time-weighted returns across two subperiods:
flowchart LR A["Start of Investment"] --> B["Calculate Return<br/>over Subperiod 1"] B --> C["Calculate Return<br/>over Subperiod 2"] C --> D["Multiply (1 + R1)*(1 + R2)<br/> and take geometric mean"] D --> E["Time-Weighted Rate of Return"]
Essentially, TWRR attempts to neutralize the effect of external cash flows on the measured performance. If your client invests an extra $1 million in the middle of the year, TWRR’s objective is to isolate your investment prowess from the effect of that big deposit.
The Global Investment Performance Standards (GIPS) from the CFA Institute strongly recommend using TWRR in published performance results. The logic is straightforward: TWRR is a more accurate reflection of a manager’s skill over time, rather than how perfect the client’s timing of contributions or withdrawals may have been.
In many institutional settings—pension funds, endowments, mutual funds—TWRR is considered the gold standard for performance reporting. It ensures all managers’ returns can be compared on an apples-to-apples basis, even if every manager’s client is erratically moving money in and out.
• MWRR (IRR):
– Every contribution and withdrawal is treated as part of the cash flow schedule.
– You solve for the discount rate (r) that makes the NPV of all flows zero.
– Large amounts of money invested at certain times will heavily sway the result.
• TWRR (Geometric Linking Over Subperiods):
– Divide the total period into subperiods around each large cash flow.
– Compute the subperiod return ignoring external flows, then link geometrically.
– Each subperiod is “equally weighted,” so big deposits or withdrawals have minimal direct effect on the TWRR— they only add or remove assets but don’t distort the subperiod return magnitude itself.
• MWRR = “My Actual Return”:
– If you personally directed each investment or withdrawal, MWRR tells you: “Of the money I actually put into this portfolio, how fast did it grow?”
– Great for personal performance vs. market timing decisions.
• TWRR = “Investment Manager’s Return”:
– Strips away the effect of investor deposits/withdrawals.
– Great for evaluating how well the manager did with the assets under management, no matter what the client was doing externally.
MWRR can be misleading if you’re trying to measure a manager’s skill but, in reality, the investor is depositing or withdrawing large sums at inopportune times. Meanwhile, TWRR can be misleading if you want to see how well your actual money grew (you might see a high TWRR, but if you added money at a market top, your personal returns might be far lower).
If you’re evaluating your own return—like my friend from earlier—where you alone decide how much to contribute and when to cash out, MWRR is typically the best reflection of your experience. It effectively consolidates all those decisions into a single number. If your timing was excellent (adding money before the market rose), your MWRR will be higher.
If you manage money for others or are analyzing different mutual funds or hedge funds, TWRR is usually the more relevant figure. Portfolio managers can’t control how much each client invests or withdraws. TWRR puts all managers on a level playing field by ignoring external flows.
• Mutual Funds. The returns advertised by mutual funds and exchange-traded funds (ETFs) in their official reports are typically time-weighted; they reflect how the fund’s assets performed ignoring investor in/out.
• “Investor Returns” vs. “Fund Returns.” You might see published statistics that say the average mutual fund delivered 8% TWRR in a given period, yet the actual investors in that fund realized only 6% on average. That discrepancy often arises because some investors buy at peaks (when the fund is more expensive) and sell at troughs (when the fund is cheaper). The TWRR tells you how the fund did overall, while MWRR would tell you the experience of the individual’s money flows.
Let’s walk through a short example that compares MWRR and TWRR side by side, focusing on how big flows can affect each:
Cash flows:
• $100,000 at time 0, negative sign if we treat it as an outflow.
• $400,000 at time 1 (start of Year 2).
• $484,500 at time 2 (we treat it as a positive inflow upon liquidation).
We want \(\text{MWRR}\) such that:
You can guess the IRR is fairly small, and the large additional investment just before a loss drags the MWRR down.
We break it down into subperiods:
• Subperiod 1 (Year 1): Start = $100,000; End = $110,000. Return = 10%.
• Subperiod 2 (Year 2): Start = $510,000 (including the new $400,000); End = $484,500. Return = \(\frac{484{,}500 - 510{,}000}{510{,}000} = -5%\).
Now TWRR is computed:
So the TWRR for the two-year period is about 2.2% per year. The MWRR, however, will be closer to something negative or really low if you do the IRR calculation because the large deposit arrived right before the negative return. This difference highlights precisely why personal investors might say “I only got X%!” while a manager’s track record might say “We achieved Y%.”
If you’re preparing for the CFA exam, be ready to:
• Memorize the IRR approach for MWRR and the geometric linking approach for TWRR.
• Recognize scenarios where MWRR differs greatly from TWRR—especially with large or frequent inflows/outflows during a measurement period.
• Know how GIPS influences the recommended usage of TWRR for performance reporting.
• Practice identifying which method is more appropriate in different real-world contexts (e.g., personal client vs. mutual fund track record).
• Carefully handle subperiod calculations: a small arithmetic slip can lead to the wrong TWRR.
In my opinion—well, maybe you’ve guessed it—understanding MWRR vs. TWRR can significantly clarify how one’s portfolio truly performs and how managers should be judged. Yes, it can be a bit tricky at first, but once you get the hang of it, you’ll wonder how you ever measured returns any other way.
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