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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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.

Key Takeaways from the 2025 PMAR Conference
This year’s PMAR Conference delivered timely and thought-provoking content for performance professionals across the industry. In this post, we’ve highlighted our top takeaways from the event—including a recap of the WiPM gathering.
May 29, 2025
15 min

The Performance Measurement, Attribution & Risk (PMAR) Conference is always a highlight for investment performance professionals—and this year’s event did not disappoint. With a packed agenda spanning everything from economic uncertainty and automation to evolving training needs and private market complexities, PMAR 2025 gave attendees plenty to think about.

Here are some of our key takeaways from this year’s event:

Women in Performance Measurement (WiPM)

Although not officially a part of PMAR, WiPM often schedules its annual in-person gathering during the same week to take advantage of the broader industry presence at the event. This year’s in-person gathering, united female professionals from across the country for a full day of connection, learning, and mentorship. The agenda struck a thoughtful balance between professional development and personal connection, with standout sessions on AI and machine learning, resume building, and insights from the WiPM mentoring program. A consistent favorite among attendees is the interactive format—discussions are engaging, and the support among members is truly energizing. The day concluded with a cocktail reception and dinner, reinforcing the group’s strong sense of community and its ongoing commitment to advancing women in the performance measurement profession.

If you’re not yet a member and are interested in joining the community, find WiPM here on LinkedIn.

Uncertainty, Not Risk, is Driving Market Volatility

John Longo, Ph.D., Rutgers Business School kicked off the conference with a deep dive into the global economy, and his message was clear: today’s markets are more uncertain than risky. Tariffs, political volatility, and unconventional strategies—like the idea of purchasing Greenland—are reshaping global trade and investment decisions. His suggestion? Investors may want to look beyond U.S. borders and consider assets like gold or emerging markets as a hedge.

Longo also highlighted the looming national debt problem and inflationary effects of protectionist policies. For performance professionals, the implication is clear: macro-level policy choices are creating noise that can obscure traditional risk metrics. Understanding the difference between risk and uncertainty is more important than ever.

The Future of Training: Customized, Continuous, and Collaborative

In the “Developing Staff for Success” session, Frances Barney, CFA (former head of investment performance and risk analysis for BNY Mellon) and our very own Jocelyn Gilligan, CFA, CIPM explored the evolving nature of training in our field. The key message: cookie-cutter training doesn't cut it anymore. With increasing regulatory complexity and rapidly advancing technology, firms must invest in flexible, personalized learning programs.

Whether it's improving communication skills, building tech proficiency, or embedding a culture of curiosity, the session emphasized that training must be more than a check-the-box activity. Ongoing mentorship, cross-training, and embracing neurodiversity in learning styles are all part of building high-performing, engaged teams.

AI is Here—But It Needs a Human Co-Pilot

Several sessions explored the growing role of AI and automation in performance and reporting. The consensus? AI holds immense promise, but without strong data governance and human oversight, it’s not a silver bullet. From hallucinations in generative models to the ethical challenges of data usage, AI introduces new risks even as it streamlines workflows.

Use cases presented ranged from anomaly detection and report generation to client communication enhancements and predictive exception handling. But again and again, speakers emphasized: AI should augment, not replace, human expertise.

Private Markets Require Purpose-Built Tools

Private equity, private credit, real estate, and hedge funds remain among the trickiest asset classes to measure. Whether debating IRR vs. TWR, handling data lags, or selecting appropriate benchmarks, this year's sessions highlighted just how much nuance is involved in getting private market reporting right.

One particularly compelling idea: using replicating portfolios of public assets to assess the risk and performance of illiquid investments. This approach offers more transparency and a better sense of underlying exposures, especially in the absence of timely valuations.

Shorting and Leverage Complicate Performance Attribution

Calculating performance in long/short portfolios isn’t straightforward—and using absolute values can create misleading results. A session on this topic broke down the mechanics of short selling and explained why contribution-based return attribution is essential for accurate reporting.

The key insight: portfolio-level returns can fall outside the range of individual asset returns, especially in leveraged portfolios. Understanding the directional nature of each position is crucial for both internal attribution and external communication.

The SEC is Watching—Are You Ready?

Compliance was another hot topic, especially in light of recent enforcement actions under the SEC Marketing Rule. From misuse of hypothetical performance to sloppy use of testimonials, the panelists shared hard-earned lessons and emphasized the importance of documentation. This panel was moderated by Longs Peak’s Matt Deatherage, CFA, CIPM and included Lance Dial, of K&L Gates along with Thayne Gould from Vigilant.

FAQs have helped clarify gray areas (especially around extracted performance and proximity of net vs. gross returns), but more guidance is expected—particularly on model fees and performance portability. If you're not already documenting every performance claim, now is the time to start.

“Phantom Alpha” Is Real—And Preventable

David Spaulding of TSG, closed the conference with a deep dive into benchmark construction and the potential for “phantom alpha.” Even small differences in rebalancing frequency between portfolios and their benchmarks can create misleading outperformance. His recommendation? Either sync your rebalancing schedules or clearly disclose the differences.

This session served as a great reminder that even small implementation details can significantly impact reported performance—and that transparency is essential to maintaining trust.

Final Thoughts

From automation to attribution, PMAR 2025 showcased the depth and complexity of our field. If there’s one overarching takeaway, it’s that while tools and techniques continue to evolve, the core principles—transparency, accuracy, and accountability—remain as important a sever.

Did you attend PMAR this year? We’d love to hear your biggest takeaways. Reach out to us at hello@longspeakadvisory.com or drop us a note on LinkedIn!