Fixed-Income Benchmarks Become More Customized

Technology, data collection and better funded statuses have asset owners rethinking traditional benchmarks.




Fixed-income benchmarks have come a long way from when the Bloomberg U.S. Aggregate Bond Index was the main tool asset managers and asset owners used for performance measurement.

Improvements in technology and data collection, combined with more robust niche markets, make it feasible for index providers to build benchmarks that include more asset classes beyond traditional fixed-income markets. Custom indexes can incorporate esoteric asset classes and also may be structured to include factors not previously considered, such as interest rates, duration and economic scenarios.

Customized indexes can bring more accountability and transparency to the asset owner and manager relationship, says Katie Cowan, head of insurance client solutions at First Eagle Investments.

For complex portfolios, custom benchmarks can be an improvement over traditional indexes, since they can track closer to an asset owner’s targeted hedging portfolio; however, they are not a perfect solution, wrote Aaron Chastain, a principal and the corporate solutions leader at NEPC, in an email.

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“A hedge ratio of 100% for interest rates and credit spreads still cannot create a perfect hedge against economic outcomes, demographic outcomes and assumption changes,” Chastain wrote.

Rethinking Fixed Income

The convergence of several trends, including improved funded status for pensions, falling duration liability, increased hedge allocations in portfolios and a wider tool set has helped usher in changed views of fixed-income strategies, says Jared Gross, head of institutional portfolio strategy at J.P. Morgan Asset Management.

Cowan says because macroeconomic uncertainty and market volatility are hallmarks of today’s financial environment, diversification is becoming important for risk management. However, she says, “there is no natural one-size-fits-all benchmark” for asset classes in areas such as structured credit, a popular asset class that offers higher yields than traditional corporate credit.

Gene Podkaminer, an institutional investment strategist at Capital Group who has worked with both asset managers and asset owners. says benchmarking fixed-income portfolios against the Bloomberg bond indexes, whether it be the U.S. Aggregate or the U.S. Universal or the Global Aggregate, “does not necessarily capture the beta exposure that is in that (asset manager’s) strategy.” He adds that compared to equities, fixed income has more factors to consider, especially for complex fixed-income portfolios.

Asset owners interviewing managers should have a clear understanding of the strategy’s beta exposure and what value the managers add.

“To do that, [they] really need to have a deep and nuanced understanding of the benchmark,” Podkaminer says. “Not necessarily just what the benchmark next to a strategy is in some system, but looking through the strategy and thinking, ‘Does that compute for this manager?’”

Building Indexes

Jarrad Linzie, head of fixed-income index research at MSCI, says asset owners are starting to look more closely at the efficient-frontier model, and not just for returns and standard deviation. They are also studying the liquidity and volatility of other asset classes the investor may add, to help ascertain whether a particular strategy is realistic and replicable. Because of the increased amount of data available and stronger computing power, it is easier than in past years for indexers to customize and back-test these strategies.

Asset owners are also looking for ways to reduce risk from nonfinancial factors such as macroeconomics, Linzie says. For example, an asset owner may contemplate adding European or Asian issuers to their portfolio to offset concerns about U.S. tariffs.

Additionally, asset owners working with constraints, whether due to regulations or to mandates such as sustainability, can create indexes that are mindful of the guidelines, but avoid sacrificing returns. For example, a dozen years ago, sustainability-minded clients may have accepted lower returns, Linzie says, but no longer.

“Fast forward to today: That’s not happening,” he says. “They’re not sacrificing anything.”

NEPC’s Chastain wrote that advisers who work with clients to build a customized index seek to clearly define stakeholder expectations and constraints to ensure the appropriate focus on results is maintained. 

Benefits and Challenges of Using a Custom Index

First Eagle’s Cowan says the biggest benefit for investors using a customized index is manager accountability.

“It gives the client a reference point to monitor the asset manager,” she says.

That’s the case, whether asset owners use the benchmark to monitor downside or upside performance, or use it to measure managers against each other if more than one is managing to a mandate.

Podkaminer says custom indexes allow more introspection on the asset manager side, as they are aware of how their strategies will be evaluated. It also gives asset managers a chance to be proactive when discussing performance, rather than waiting for questions.

One of the challenges to using a custom benchmark or a factor-based approach is how to explain to stakeholders what is happening in a portfolio, he says. It is easy to explain performance against the Agg, but harder against a custom benchmark, especially if performance is soft.

Not everyone is a fan of customized indexes. Chastain wrote their use is being driven by asset managers looking for business because de-risking and pension risk transfers have reduced the need for liability-driven investment portfolios.

Larger pension fund sponsors with unique needs, as well as significantly de-risked plans that are seeking hibernation for their fund, may benefit from customized benchmarks, but NEPC’s Chastain wrote, “We believe the majority of plans remain well served by a thoughtful implementation of [U.S.] Treasurys and corporate bonds, paired with completion management.”

Considering Tracking Error in Customized Indexes

J.P. Morgan’s Gross cautions that as pension funds create more-diversified portfolios to increase efficiency in their use of capital and generate attractive risk-adjusted returns, those that create custom indexes need to think about tracking error broadly.

“That benchmark-selection question is quite fundamental,” Gross says. “You really do have to make a choice as to where you want the tracking error to show up.”

Asset owners can build a very precise benchmark for their liabilities, or they can give managers benchmarks for each of their preferred ways to invest. However, the second option will not look as much like the liability. The industry is moving away from the goal of low-tracking-error benchmarking to something more flexible.

Cowan says if an asset owner prefers a low-tracking-error benchmark, it would be cheaper to use an exchange-traded fund, rather than pay an active manager.

The right answer, Gross suggests, is “having an efficient portfolio that delivers long-term excess return with risk that’s appropriate, relative to the liabilities.”


More on this topic:

Data, Custom Indexing Reshape Public Equity Portfolios
Measuring Hedge Fund Performance Has Its Limitations

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Data, Custom Indexing Reshape Public Equity Portfolios

Investors are increasingly seeking to customize their investments to their specific mandates.



The growing availability of trading data and information increasingly enables institutional investors and other market participants to improve existing portfolio models and build new ones. Providers and allocators can achieve any desired market exposure by matching sector characteristics and risk factors. This has allowed investors to move beyond traditional performance benchmarks and instead construct portfolios that reflect their unique investment theses.

“The increasing availability and sophistication of trading data and market information have fundamentally reshaped how public equity portfolios are constructed and managed,” says Michele Calcaterra, ECPI director at Confluence Technologies and a senior lecturer on entrepreneurial finance at Milan’s SDA Bocconi School of Management.

This trend is not new, but direct indexing has become more prevalent among investors in recent years.

“For at least a decade or more, allocators have been able to procure and employ the tools and strategies that enable them to build highly customized public equity portfolios using internal resources and, for at least two decades, using external resources,” says Eileen Neill, a managing director and senior consultant at Verus Investments.

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Direct Indexing

Institutional investors and the service providers that work with them have, in recent years, increasingly used custom indexes to personalize their exposures, such as tailoring portfolios to exclude stocks based on certain metrics, such as thematic conviction or policy constraints.

“Clients are seeking modular, tailored solutions,” says Nedelina Petkova, a senior investment director at NEPC. “Clients now use custom indexes to either amplify exposure to favored sectors, like artificial intelligence or clean energy, or to exclude sectors like tobacco, gambling or fossil fuels that may conflict with organizational values or regulatory guidelines.”

Direct indexing can allow allocators and providers to achieve precise public market exposure aligned with their desired risk-adjusted return objectives, says Melanie Pickett, head of asset servicing, Americas, at Northern Trust.

“We are seeing a shift toward direct indexing with adjustable exposures, as well as hedge fund separate account platforms where investors have more control over their exposures and liquidity, allowing them to risk up and down flexibly amongst strategies,” Pickett says.

Direct indexing has been around for more than a decade, but the market did not begin to significantly grow until 2018. Between 2018 and 2021, direct indexing assets under management rose to $350 billion from $100 billion, according to the CFA Institute.

“Trading data is now the Lego set of equity markets,” says Michael Ashley Schulman, CIO of and founding partner in multi-family office Running Point Capital Advisors. “Snap enough bricks together, and you can build any sector tilt, factor fiesta or thematic maze you like.”

Schulman says custom indexes can help clients avoid being overexposed to any specific stock.

“Imagine a $20 million client that already owns $7 million of Microsoft. When would I ever buy them any more?” Schulman says. “If I put them into a Nasdaq or SPY ETF like QQQM or VOO, 8.8% or 7%, respectively, is automatically going [into Microsoft]. Custom indexing can avoid that scenario.”

Informing Portfolio Construction

According to Paul Kenney, a senior vice president of client solutions at Syntax Data, passive strategies will continue to migrate toward direct indexing, as these strategies can diversify a portfolio while reducing the number of holdings.

“For example, a portfolio that holds indices invested in U.S. large-cap, small-cap and developed international equities may hold from 1,500 to over 3,000 individual securities, depending upon the indices selected,” Kenney says.

Direct indexing can streamline these portfolios, making them easier to monitor and manage. Kenney says investment managers will increasingly need to be tech experts as well, especially as AI-driven tools become more popular.

Direct indexing became especially popular after the COVID-19 pandemic, due to the global health emergency’s disruption of multiple sectors.

“If direct indexing was a ‘nice-to-have’ option for investors a couple of years ago, it is now looking more like a requisite tool in investors’ tool kit,” wrote Ben McMillan, CIO of IDX Advisors, in a CAIA blog post. “The combination of low forward-looking expectations for traditional asset classes, coupled with higher likelihood of continued volatility means advisers now don’t have the luxury of relying on a simple 60/40 allocation with an occasional ‘buy the dip.’”


More on this topic:

Fixed-Income Benchmarks Become More Customized
Measuring Hedge Fund Performance Has Its Limitations

Tags: , , ,

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