Are ETFs A Better Benchmark?

Jocelyn Gilligan, CFA, CIPM
Partner
June 28, 2024
15 min
Are ETFs A Better Benchmark?

Using Exchange-Traded Funds (ETFs) as benchmarks instead of traditional indices has become a common practice among investors and fund managers. ETFs offer practical advantages, such as reflecting real-world trading costs, and incorporating management fees and tax considerations. These aspects make ETFs a more accurate and accessible benchmark as they are an actual investible alternative to the strategy being assessed.

However, this approach is not without its drawbacks. Understanding both the advantages and disadvantages of using ETFs as benchmarks is crucial for making informed investment decisions and ensuring accurate performance comparisons.

This article discusses the pros and cons of using an ETF as a benchmark and considerations for making an informed decision on how to go about selecting one that is meaningful.

The Advantages:

Using an ETF as a benchmark rather than the underlying index has several advantages. These include:

Cost:

The decision to use an ETF rather than an actual index as a benchmark often stems from the costs associated with using index performance data. While index providers typically charge licensing fees for access to their indices, these fees can be cost-prohibitive for some firms, especially smaller ones, or those with limited resources.

ETFs offer a more accessible and cost-effective alternative, as they provide readily available, real-time performance data and can be traded easily on stock exchanges and accessed by anyone. By using an ETF as a benchmark, firms can circumvent the barriers to entry associated with marketing index performance directly, allowing them to still compare performance against a relevant benchmark.

Practical Investment Comparison:

ETFs represent actual investment vehicles that investors can buy and sell, thus providing a more practical and realistic performance comparison. Indices, on the other hand, are theoretical constructs that do not account for real-world trading costs, whereas ETFs do. Additionally, ETFs are traded on stock exchanges and can be bought and sold throughout the trading day at market prices, unlike indices which cannot be directly traded.

Incorporation of Costs:

ETFs include trading and management expenses and other costs associated with managing the pool of securities. When using an ETF as a benchmark, you get a more accurate reflection of the net returns an investor would actually receive after these costs. In addition, ETF performance considers the costs of buying and selling the underlying assets, including bid-ask spreads and any market impact, which indices do not.

Dividend Reinvestment:

ETFs may account for the reinvestment of dividends, providing a more accurate measure of total return. Indices often do not factor in the practical aspects of dividend reinvestment, such as timing delays, transaction costs, and tax implications, leading to a potentially less realistic depiction of investment returns.

Tax Considerations:

ETFs may have different tax treatments and efficiencies compared to the theoretical index performance. Using an ETF as a benchmark will reflect these considerations, providing a potentially more relevant comparison for taxable investors.

Replication and Tracking Error:

ETFs can exhibit tracking error, which is the deviation of the ETF's performance from the index it seeks to replicate. While tracking error may be perceived as a limitation, it also reflects the real-world challenges and frictions involved in managing an investment portfolio. Thus, using an ETF as a benchmark encompasses this aspect of real-world performance—which acknowledges the practical complexities of investing and serves to enhance transparency and accountability in investment decision making.

Transparency and Real-time Data:

ETFs provide real-time pricing information throughout trading hours, allowing investors to monitor and compare performance continuously as market conditions fluctuate. This real-time data enables more informed and timely decision-making, as investors can react instantly to market events, manage risks more effectively, and capitalize on opportunities as they arise.

Advantages Summary

In summary, using an ETF as a benchmark provides a less-costly, more realistic, practical, and accurate measure of investment performance that includes real-world considerations like costs, liquidity, tax implications, and dividend reinvestment, which are not fully captured by indices. ETFs are a true investable alternative, while indexes are not directly investible.

The Disadvantages:

While using an ETF as a benchmark has several advantages, there are also some potential drawbacks to consider:

Downside of Tracking Error:

ETFs may not perfectly track their underlying indices due to various factors such as imperfect replication methods, sampling techniques, and management decisions. This tracking error can result from differences in timing, costs, and portfolio composition between the ETF and its benchmark index.

This deviation can lead to discrepancies when comparing the ETF's performance to the actual index and can affect investors' expectations, portfolio management decisions, and performance evaluations. Thus, it is prudent to evaluate and monitor tracking error of ETFs when they are used as a benchmark.

Tracking Method: Full Replication vs. Sampling

ETFs employ different replication strategies to track their underlying indices, with some opting for full replication, while others utilize sampling techniques. These differences can lead to varying levels of tracking error and performance differences from the underlying index.

Full replication involves holding all of the securities in the index in the same proportions as they are weighted in the index, aiming to closely mirror its performance. In contrast, sampling techniques involve holding a representative subset of securities that capture the overall characteristics of the index.

While full replication theoretically offers the closest tracking to the index, it can be more costly and logistically challenging, especially for indices with a large number of securities. Sampling, while potentially more cost-effective and manageable, introduces the risk of tracking error, as the subset of securities may not perfectly reflect the index's performance.

Non-Comparable Expense Ratios:

ETFs incur management fees, which reduce returns over time. While these fees are part of the real-world costs, they can make the ETF's performance look worse compared to the theoretical performance of the index, especially when compounded over time. This may be problematic when using an ETF as a comparison tool (think expense ratios dragging down ETF benchmark performance thus making the strategy appear to have performed better than it would have against the actual index). This has the potential to influence investment decisions and performance evaluations. To address this concern, the GIPS Standards now require firms that use an ETF as a benchmark to disclose the ETF’s expense ratio.

Many active managers might argue that it’s “unfair” that the SEC requires them to compare net returns against an index that has no fees or expenses. However, if the strategy’s goal is to beat the index with active management, the manager should be doing this even after fees, otherwise passive investing (with lower fees) is a better option.

Liquidity Constraints:

Some ETFs may suffer from lower liquidity, leading to wider bid-ask spreads and higher trading costs, especially for large transactions. This can affect the ETF's performance and make it less ideal as a benchmark.

Selection Dilemma

Multiple ETFs may track the same index, each with different structures, expense ratios, and tracking accuracy (e.g., check out the differences between SPY, IVV, VOO, SPLG). As a result, choosing the most appropriate ETF as a benchmark should involve consideration of factors such as cost-effectiveness, liquidity, tracking error, and the strategy’s specific investment objectives. As a result, some due diligence should be done to ensure that the selected ETF aligns closely with the desired index and makes sense for the investment strategy.

Some firms have made it a habit to mix the use of different ETFs in factsheets, often because their data sources lack all the data needed for one ETF. While it may seem like it’s all the same, for many of the reasons discussed in this post, not all ETFs are created equal. We do not recommend mixing benchmarks, even when using actual indices (e.g., comparing performance returns to the Russell 1000 Growth, but then showing other statistics like sectors compared to the S&P 500). Similarly, we wouldn’t recommend doing that with ETFs either (e.g., comparing performance returns to IVV but using sector information from SPY). Mixing benchmark information in factsheets is messy and likely to be questioned by regulators, especially when doing so makes strategy performance look better.

Regulatory and Structural Issues:

ETFs are subject to evolving regulatory oversight that might affect their operations, costs and performance as benchmarks. This is not the case for indices.

In addition, the structural differences between ETFs, particularly regarding whether they are physically backed or use synthetic replication through derivatives, can significantly impact their risk profile and performance relative to their underlying indices.

Physically backed ETFs typically hold the actual securities that comprise the index they track, aiming to replicate its performance as closely as possible. In contrast, synthetic ETFs use derivatives, such as swaps, to replicate the index's returns without owning the underlying assets directly. While synthetic replication can offer cost and operational advantages, it also introduces counterparty risk, as the ETF relies on the financial stability of the swap provider.

As a result, it’s best to consider the structure of the ETF before using it as a benchmark.

Market Influences:

ETFs can trade at prices above (premium) or below (discount) their net asset value (NAV), which can introduce short-term performance differences that are not reflective of the underlying index performance.

These premiums and discounts arise due to supply and demand dynamics in the market, as well as factors such as investor sentiment, liquidity, and trading volume. These fluctuations can affect the ETF's reported returns and introduce discrepancies when comparing its performance to the benchmark index. Therefore, investors must consider the impact of these premiums and discounts on the ETF's short-term performance and recognize that these variances may not accurately represent the true performance of the underlying index.

When material differences in price vs. NAV exist, some firms believe that the NAV is a better representation of the fair value rather than the price and have used NAV for performance calculations. Please note that when this is done, it is important to document how fair value is determined and if the performance is based on the change in NAV or change in trading price.

Currency Risk:

Investors utilizing ETFs tracking international indices face the added complexity of currency fluctuations, which can significantly influence the ETF's performance. When investing in foreign ETFs, investors are exposed to currency risk, as fluctuations in exchange rates between the ETF's base currency and the currencies of the underlying index's constituents can impact returns. Currency movements can either enhance or detract from the ETF's performance, depending on whether the base currency strengthens or weakens relative to the underlying currencies.

Consequently, currency risk should be considered when using international ETFs as benchmarks.

Dividend Handling:

The handling of dividends by ETFs, whether they are paid out to investors or reinvested back into the fund, can have a notable impact on their total return compared to the index they track. Indices typically assume continuous reinvestment of dividends without considering real-world frictions such as transaction costs or timing delays associated with reinvestment. In contrast, ETFs may adopt different dividend distribution policies based on investor preferences and fund objectives.

ETFs that reinvest dividends back into the fund can potentially enhance their total return over time by capitalizing on the power of compounding. However, this approach may result in tracking errors if the reinvestment process incurs costs or timing discrepancies that deviate from the index's assumed reinvestment.

ETFs that distribute dividends to investors as cash payments may offer more immediate income but could lag behind the index's total return if investors do not reinvest these dividends efficiently. Therefore, the dividend handling policy adopted by an ETF can significantly influence its performance relative to the index and should be carefully considered.

Lack of Historical Data:

Some ETFs, especially newer ones, may not have a long track record. This can make historical performance comparisons less reliable or comprehensive. Without an extensive performance history, sufficient data may be lacking to assess an ETF's performance across various market conditions and economic cycles, making it challenging to gauge its potential risks and returns accurately.

Strategies that existed long before an ETF was created to track the comparable index, may end up with timing differences. Many firms often need to use multiple benchmarks to cover the entire period. But, for some strategies that go way back, an ETF may not exist back to inception. Be sure to include rationale in your documentation for benchmark selection so that it is clear when and why a benchmark was selected for the given time periods.

Conclusion:

In conclusion, using ETFs as benchmarks offers practical benefits, potentially making them a more accurate and accessible measure of investment performance compared to traditional indices since they are an actual investable alternative to hiring an active manager. However, these benefits do not come without shortcomings. By carefully evaluating these factors and considering the specifics of the ETFs selected for each strategy, managers can effectively use ETFs as benchmarks to assess and monitor investment strategies. In understanding these factors, an ETF may actually be a better comparison tool for your strategy than the underlying index.

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Performance reporting has two common pitfalls: it’s backward-looking, and it often stops at raw returns. A quarterly report might show whether a portfolio beat its benchmark, but it doesn’t always show why or whether the results are sustainable. By layering in risk-adjusted performance measures—and using them in a structured feedback loop—firms can move beyond reporting history to actively improving the future.

Why a Feedback Loop Matters

Clients, boards, and oversight committees want more than historical returns. They want to know whether:

·        performance was delivered consistently,

·        risk was managed responsibly, and

·        the process driving results is repeatable.

A feedback loop helps firms:

·        define expectations up front instead of rationalizing results after the fact,

·        monitor performance relative to objective appraisal measures,

·        diagnose whether results are consistent with the manager’s stated mandate, and

·        adjust course in real time so tomorrow’s outcomes improve.

With the right discipline, performance reporting shifts from a record of the past toa tool for shaping the future.

Step 1: Define the Measures in Advance

A useful feedback loop begins with clear definitions of success. Just as businesses set key performance indicators (KPIs) before evaluating outcomes, portfolio managers should define their performance and risk statistics in advance, along with expectations for how those measures should look if the strategy is working as intended.

One way to make this tangible is by creating a Performance Scorecard. The scorecard sets out pre-determined goals with specific targets for the chosen measures. At the end of the performance period, the manager completes the scorecard by comparing actual outcomes against those targets. This creates a clear, documented record of where the strategy succeeded and where it fell short.

Some of the most effective appraisal measures to include on a scorecard are:

·        Jensen’s Alpha: Did the manager generate returns beyond what would be expected for the level of market risk (beta) taken?

·        Sharpe Ratio: Were returns earned efficiently relative to volatility?

·        Max Drawdown: If the strategy claims downside protection, did the worst loss align with that promise?

·        Up- and Down-Market Capture Ratios: Did the strategy deliver the participation levels in up and down markets that were expected?

By setting these expectations up front in a scorecard, firms create a benchmark for accountability. After the performance period, results can be compared to those preset goals, and any shortfalls can be dissected to understand why they occurred.

Step 2: Create Accountability Through Reflection

This structured comparison between expected vs. actual results is the heart of the feedback loop.

If the Sharpe Ratio is lower than expected, was excess risk taken unintentionally? If the Downside Capture Ratio is higher than promised, did the strategy really offer the protection it claimed?

The key is not just to measure, but to reflect. Managers should ask:

·        Were deviations intentional or unintentional?

·        Were they the result of security selection, risk underestimation, or process drift?

·        Do changes need to be made to avoid repeating the same shortfall next period?

The scorecard provides a simple framework for this reflection, turning appraisal statistics into active learning tools rather than static reporting figures.

Step 3: Monitor, Diagnose, Adjust

With preset measures in place, the loop becomes an ongoing process:

1.     Review results against the expectations that were defined in advance.

2.     Flag deviations using alpha, Sharpe, drawdown, and capture ratios.

3.     Discuss root causes—intentional, structural, or concerning.

4.     Refine the investment process to avoid repeating the same shortcomings.

This approach ensures that managers don’t just record results—they use them to refine their craft. The scorecard becomes the record of this process, creating continuity over multiple periods.

Step 4: Apply the Feedback Loop Broadly

When applied consistently, appraisal measures—and the scorecards built around them—support more than internal evaluation. They can be used for:

·        Manager oversight: Boards and trustees see whether results matched stated goals.

·        Incentive design: Bonus structures tied to pre-defined risk-adjusted outcomes.

·        Governance and compliance: Demonstrating accountability with clear, documented processes.

How Longs Peak Can Help

At Longs Peak, we help firms move beyond static reporting by building feedback loops rooted in performance appraisal. We:

·        Define meaningful performance and risk measures tailored to each strategy.

·        Help managers set pre-determined expectations for those measures and build them into a scorecard.

·        Calculate and interpret statistics such as alpha, Sharpe, drawdowns, and capture ratios.

·        Facilitate reflection sessions so results are compared to goals and lessons are turned into process improvements.

·        Provide governance support to ensure documentation and accountability.

The result is a sustainable process that keeps strategies aligned, disciplined, and credible.

Closing Thought

Markets will always fluctuate. But firms that treat performance as a feedback loop—nota static report—build resilience, discipline, and trust.

A well-structured scorecard ensures that performance data isn’t just about yesterday’s story. When used as feedback, it becomes a roadmap for tomorrow.

Need help creating a Performance Scorecard? Reach out if you want us to help you create more accountability today!

When you're responsible for overseeing the performance of an endowment or public pension fund, one of the most critical tools at your disposal is the benchmark. But not just any benchmark—a meaningful one, designed with intention and aligned with your Investment Policy Statement(IPS). Benchmarks aren’t just numbers to report alongside returns; they represent the performance your total fund should have delivered if your strategic targets were passively implemented.

And yet, many asset owners still find themselves working with benchmarks that don’t quite match their objectives—either too generic, too simplified, or misaligned with how the total fund is structured. Let’s walkthrough how to build more effective benchmarks that reflect your IPS and support better performance oversight.

Start with the Policy: Your IPS Should Guide Benchmark Construction

Your IPS is more than a governance document—it is the road map that sets strategic asset allocation targets for the fund. Whether you're allocating 50% to public equity or 15% to private equity, each target signals an intentional risk/return decision. Your benchmark should be built to evaluate how well each segment of the total fund performed.

The key is to assign a benchmark to each asset class and sub-asset class listed in your IPS. This allows for layered performance analysis—at the individual sub-asset class level (such as large cap public equity), at the broader asset class level (like total public equity), and ultimately rolled up at the Total Fund level. When benchmarks reflect the same weights and structure as the strategic targets in your IPS, you can assess how tactical shifts in weights and active management within each segment are adding or detracting value.

Use Trusted Public Indexes for Liquid Assets

For traditional, liquid assets—like public equities and fixed income—benchmarking is straightforward. Widely recognized indexes like the S&P 500, MSCI ACWI, or Bloomberg U.S. Aggregate Bond Index are generally appropriate and provide a reasonable passive alternative against which to measure active strategies managed using a similar pool of investments as the index.

These benchmarks are also calculated using time-weighted returns (TWR), which strip out the impact of cash flows—ideal for evaluating manager skill. When each component of your total fund has a TWR-based benchmark, they can all be rolled up into a total fund benchmark with consistency and clarity.

Think Beyond the Index for Private Markets

Where benchmarking gets tricky is in illiquid or asset classes like private equity, real estate, or private credit. These don’t have public market indexes since they are private market investments, so you need a proxy that still supports a fair evaluation.

Some organizations use a peer group as the benchmark, but another approach is to use an annualized public market index plus a premium. For example, you might use the 7-year annualized return of the Russell 2000(lagged by 3 months) plus a 3% premium to account for illiquidity and risk.

Using the 7-year average rather than the current period return removes the public market volatility for the period that may not be as relevant for the private market comparison. The 3-month lag is used if your private asset valuations are updated when received rather than posted back to the valuation date. The purpose of the 3% premium (or whatever you decide is appropriate) is to account for the excess return you expect to receive from private investments above public markets to make the liquidity risk worthwhile.

By building in this hurdle, you create a reasonable, transparent benchmark that enables your board to ask: Is our private markets portfolio delivering enough excess return to justify the added risk and reduced liquidity?

Roll It All Up: Aggregated Benchmarks for Total Fund Oversight

Once you have individual benchmarks for each segment of the total fund, the next step is to aggregate them—using the strategic asset allocation weights from your IPS—to form a custom blended total fund benchmark.

This approach provides several advantages:

  • You can evaluate performance at both the micro (asset class) and macro (total fund) level.
  • You gain insight into where active management is adding value—and where it isn’t.
  • You ensure alignment between your strategic policy decisions and how performance is being measured.

For example, if your IPS targets 50% to public equities split among large-, mid-, and small-cap stocks, you can create a blended equity benchmark that reflects those sub-asset class allocations, and then roll it up into your total fund benchmark. Rebalancing of the blends should match there balancing frequency of the total fund.

What If There's No Market Benchmark?

In some cases, especially for highly customized or opportunistic strategies like hedge funds, there simply may not be a meaningful market index to use as a benchmark. In these cases, it is important to consider what hurdle would indicate success for this segment of the total fund. Examples of what some asset owners use include:

  • CPI + Premium – a simple inflation-based hurdle
  • Absolute return targets – such as a flat 7% annually
  • Total Fund return for the asset class – not helpful for evaluating the performance of this segment, but still useful for aggregation to create the total fund benchmark

While these aren’t perfect, they still serve an important function: they allow performance to be rolled into a total fund benchmark, even if the asset class itself is difficult to benchmark directly.

The Bottom Line: Better Benchmarks, Better Oversight

For public pension boards and endowment committees, benchmarks are essential for effective fiduciary oversight. A well-designed benchmark framework:

  • Reflects your strategic intent
  • Provides fair, consistent measurement of manager performance
  • Supports clear communication with stakeholders

At Longs Peak Advisory Services, we’ve worked with asset owners around the globe to develop custom benchmarking frameworks that align with their policies and support meaningful performance evaluation. If you’re unsure whether your current benchmarks are doing your IPS justice, we’re hereto help you refine them.

Want to dig deeper? Let’s talk about how to tailor a benchmark framework that’s right for your total fund—and your fiduciary responsibilities. Reach out to us today.

Valuation Timing for Illiquid Investments
Explore how firms & asset owners can balance accuracy & timeliness in performance reporting for illiquid investments.
June 23, 2025
15 min

For asset owners and investment firms managing private equity, real estate, or other illiquid assets, one of the most persistent challenges in performance reporting is determining the right approach to valuation timing. Accurate performance results are essential, but delays in receiving valuations can create friction with timely reporting goals. How can firms strike the right balance?

At Longs Peak Advisory Services, we’ve worked with hundreds of investment firms and asset owners globally to help them present meaningful, transparent performance results. When it comes to illiquid investments, the trade-offs and decisions surrounding valuation timing can have a significant impact—not just on performance accuracy, but also on how trustworthy and comparable the results appear to stakeholders.

Why Valuation Timing Matters

Illiquid investments are inherently different from their liquid counterparts. While publicly traded securities can be valued in real-time with market prices, private equity and real estate investments often report with a delay—sometimes months after quarter-end.

This delay creates a reporting dilemma: Should firms wait for final valuations to ensure accurate performance, or should they push ahead with estimates or lagged valuations to meet internal or external deadlines?

It’s a familiar struggle for investment teams and performance professionals. On one hand, accuracy supports sound decision-making and stakeholder trust. On the other, reporting delays can hinder communication with boards, consultants, and beneficiaries—particularly for asset owners like endowments and public pension plans that follow strict reporting cycles.

Common Approaches to Delayed Valuations

For strategies involving private equity, real estate, or other illiquid holdings, receiving valuations weeks—or even months—after quarter-end is the norm rather than the exception. To deal with this lag, investment organizations typically adopt one of two approaches to incorporate valuations into performance reporting: backdating valuations or lagging valuations. Each has benefits and drawbacks, and the choice between them often comes down to a trade-off between accuracy and timeliness.

1. Backdating Valuations

In the backdating approach, once a valuation is received—say, a March 31 valuation that arrives in mid-June—it is recorded as of March 31, the actual valuation date. This ensures that performance reports reflect economic activity during the appropriate time period, regardless of when the data became available.

Pros:
  • Accuracy: Provides the most accurate snapshot of asset values and portfolio performance for the period being reported.
  • Integrity: Maintains alignment between valuation dates and the underlying activity in the portfolio, which is particularly important for internal analysis or for investment committees wanting to evaluate manager decisions during specific market environments.
Cons:
  • Delayed Reporting: Final performance for the quarter may be delayed by 4–6 weeks or more, depending on how long it takes to receive valuations.
  • Stakeholder Frustration: Boards, consultants, and beneficiaries may grow  frustrated if they cannot access updated reports in a timely manner, especially if performance data is tied to compensation decisions, audit     deadlines, or public disclosures.

When It's Useful:
  • When transparency and accuracy are prioritized over speed—e.g., in annual audited performance reports or regulatory filings.
  • For internal purposes where precise attribution and alignment with economic events are critical, such as evaluating decision-making during periods of market volatility.

2. Lagged Valuations

With the lagged approach, firms recognize delayed valuations in the subsequent reporting period. Using the same example: if the March 31valuation is received in June, it is instead recorded as of June 30. In this case, the performance effect of the Q1 activity is pushed into Q2’sreporting.

Pros:
  • Faster Reporting: Performance reports can be completed shortly after quarter-end, meeting board, stakeholder, and regulatory timelines.
  • Operational Efficiency: Teams aren’t held up by a few delayed valuations, allowing them to close the books and move on to other tasks.

Cons:
  • Reduced Accuracy: Performance reported for Q2 includes valuation changes that actually occurred in Q1, misaligning performance with the period in which it was earned.
  • Misinterpretation Risk: If users are unaware of the lag, they may misattribute results to the wrong quarter, leading to flawed conclusions about manager skill or market behavior.

When It's Useful:
  • When quarterly reporting deadlines must be met (e.g., trustee meetings, consultant updates).
  • In environments where consistency and speed are prioritized, and the lag can be adequately disclosed and understood by users.

Choosing the Right Approach (and Sticking with It)

Both approaches are acceptable from a compliance and reporting perspective. However, the key lies in consistency.

Once an organization adopts an approach—whether back dating or lagging—it should be applied across all periods, portfolios, and asset classes. Inconsistent application opens the door to performance manipulation(or the appearance of it), where results might look better simply because a valuation was timed differently.

This kind of inconsistency can erode trust with boards, auditors and other stakeholders. Worse, it could raise red flags in a regulatory review or third-party verification.

Disclose, Disclose, Disclose

Regardless of the method you use, full transparency in reporting is essential. If you’re lagging valuations by a quarter, clearly state that in your disclosures. If you change methodologies at any point—perhaps transitioning from lagged to backdated—explain when and why that change occurred.

Clear disclosures help users of your reports—whether board members, beneficiaries, auditors, or consultants—understand how performance was calculated. It allows them to assess the results in context and make informed decisions based on the data.

Aligning Benchmarks with Valuation Timing

One important detail that’s often overlooked: your benchmark data should follow the same valuation timing as your portfolio.

If your private equity or real estate portfolio is lagged by a quarter, but your benchmark is not, your performance comparison becomes flawed. The timing mismatch can mislead stakeholders into believing the strategy outperformed or underperformed, simply due to misaligned reporting periods.

To ensure a fair and meaningful comparison, always apply your valuation timing method consistently across both your portfolio and benchmark data.

Building Trust Through Transparency

Valuation timing is a technical, often behind-the-scenes issue—but it plays a crucial role in how your investment results are perceived. Boards and stakeholders rely on accurate, timely, and understandable performance reporting to make decisions that impact beneficiaries, employees, and communities.

By taking the time to document your valuation policy, apply it consistently, and disclose it clearly, you are reinforcing your organization’s commitment to integrity and transparency. And in a world where scrutiny of investment performance is only increasing, that commitment can be just as valuable as the numbers themselves.

Need help defining your valuation timing policy or aligning performance reporting practices with industry standards?

Longs Peak Advisory Services specializes in helping investment firms and asset owners simplify their performance processes, maintain compliance, and build trust through transparent reporting. Contact us to learn how we can support your team.