Explore how to balance interest rate hedging and credit exposure in liability-driven portfolios, including default and downgrade risk considerations, spread metrics, and best practices for credit derivatives.
Sometimes, when folks think of liability-driven investing (LDI), they focus almost exclusively on interest rate hedging: matching the duration of assets with the duration of liabilities. And sure, that interest rate alignment is crucial. But in many real-world scenarios—like pension plans or insurance portfolios—there’s another layer lurking under the surface: credit risk. Maybe you’ve managed a pension plan that’s partially underfunded, or you’ve worked with an insurance company that needs to juice up returns to meet guaranteed policy payouts. In these cases, simply sticking to risk-free bonds (like Treasuries) might not be enough. Instead, sprinkling in investment-grade corporate bonds (or in some cases, high-yield bonds) can help close the gap. But (and here’s the fun part) you introduce default risk, downgrade risk, and other complexities.
So how do you incorporate credit risk into an LDI framework without getting caught off guard by rising spreads or issuer defaults? Let’s dig in.
Even the best-laid LDI strategies sometimes need more than good old interest rate matching. Certain liabilities, such as pension obligations tied to a sponsor’s own credit standings, might naturally include a “credit-spread” dimension. For example, if the sponsor is a corporate entity whose liabilities are sensitive to changes in corporate bond spreads, it might make sense for the portfolio to hold instruments that track those spreads.
In addition, some plans face underfunding issues and want to enhance returns. Let’s not pretend a struggling plan can magically fix a funding shortfall by shifting into risk-free assets. There are times you really do need that extra yield from corporate credit or even emerging market debt. Of course, that also means you’re exposing yourself to higher volatility, default risk, and other concerns. Balancing these aspects is the art of credit-focused LDI.
Before we go any further, here’s a quick glossary to help you anchor the terminology (and yes, you’ll almost certainly see these in your exam and in real-life scenarios):
• Default Risk: The probability that an issuer will fail to make its principal or interest payments.
• Downgrade Risk: The hazard that a bond’s rating will be lowered, causing its market price to drop and its yield to spike.
• Option-Adjusted Spread (OAS): A spread metric that accounts for embedded options (e.g., call or prepayment features) in a bond. By “removing” the option component, OAS allows us to compare apples to apples across different securities.
• Credit Default Swap (CDS): A derivative that provides insurance-like protection against issuer default in return for a premium. It’s a handy tool if you want credit exposure but don’t intend to hold the underlying bond.
• Spread Duration: The sensitivity of a bond’s or portfolio’s price to changes in credit spreads. Small changes in spread can matter a lot if your spread duration is large.
A successful LDI program generally aims to hedge interest rate risk arising from the liability while preserving or enhancing return. That might mean using a combination of:
• High-quality government bonds or interest rate swaps to match the liability’s duration.
• Carefully selected corporate or other spread products (like mortgage-backed securities, asset-backed securities, and so on) to achieve higher yields.
For instance, if you need 10 years of effective duration to match your liability, you could build six years of that duration with government bonds/swaps, then add four years via corporate bonds that offer an attractive spread. Simple enough—until spreads start to widen quickly, maybe due to a recession or a credit cycle turn. If that happens, your hedge on interest rates might still be fine, but your default or downgrade risk exposure can negatively affect the overall portfolio.
Just like interest rate duration tells you how sensitive your bond or portfolio is to changes in yields, spread duration measures your sensitivity to credit spread movements. Here’s a typical formula for the price change of a bond given a change in spreads:
• \(D_s\) = Spread duration
• \(P\) = Bond price (or portfolio value)
• \(\Delta s\) = Change in spread
If spreads widen (i.e., \(\Delta s > 0\)), the bond price drops. If they narrow (\(\Delta s < 0\)), the bond price rises. On top of that, you might use an option-adjusted measure if your bonds have optionality, which is quite common with callable corporate bonds or mortgage-backed securities.
OAS is like a behind-the-scenes wizard that teases out the value of embedded options so you get a “clean” read of your credit spread. For example, if a corporate bond is callable, the yield you see might be artificially high to compensate you for the possibility that the issuer calls the bond early. OAS tries to factor out that optionality so that you can compare that security’s credit compensation on an apples-to-apples basis with other instruments.
In an LDI context, OAS can help you figure out if you’re actually being compensated for taking on credit risk or if you’re merely collecting an “option premium” that might vanish in certain interest rate scenarios. This matters when you’re trying to evaluate whether a high-yielding bond is truly offering a juicy credit spread or if most of that yield is just an option gimmick.
There’s a wide spectrum of credit risk. Let’s highlight three common credit “tiers” that might pop up in LDI portfolios:
• Investment-Grade Corporate Bonds (IG): Typically rated BBB–/Baa3 or higher, offering moderate risk and moderate return potential. Many pension and insurance portfolios favor IG because it aligns with regulatory requirements and risk limits.
• High-Yield Bonds (HY): Rated below BBB–. They offer higher spreads but come with significantly higher default and downgrade risks. In underfunded pension plans or in smaller sleeves of large portfolios, high-yield can give a strong return boost. But if the economy slows, these bonds can tank.
• Emerging Market (EM) Debt: Debt issued by governments or corporations in developing economies. Potentially strong yields, but you may face political risk, currency risk, and liquidity issues.
In practice: Some LDI portfolios might limit or even exclude high-yield or EM debt, especially if they’re under tight regulatory oversight. Others might tiptoe into these exposures as a small portion of total assets, hoping for a little more yield.
One of the big leaps in modern credit portfolio management is the ability to use derivatives like credit default swaps (CDS) or total return swaps (TRS). These tools let you dial credit exposure up or down without moving as heavily in the cash bond market. Picture this: you hold a bunch of high-quality bonds that hedge your liabilities’ interest rate risk. But you also think that the credit market is poised for a spread tightening. You could overlay a CDS strategy, effectively gaining or shedding credit risk.
A CDS is basically an insurance contract on a bond. You pay a periodic premium (the “spread”), and if the issuer defaults, you (the protection buyer) are compensated by the protection seller. Alternatively, if you’re bullish on an issuer’s credit, you could be the seller of protection and collect the premium. Watch out, though: you’re now on the hook if the issuer fails to pay.
• Quick Adjustments: Instead of selling a bunch of physical bonds (and incurring transaction costs), you can sell CDS protection to gain credit exposure or buy protection to reduce it.
• Tail Risk Management: If you own physical corporate bonds and want to temporarily hedge, a CDS can offset default risk while you hold onto the bonds.
But there’s a cost. Typically, CDS markets can have bid/ask spreads that fluctuate, and you have to be mindful of the counterparty risk in over-the-counter (OTC) derivatives.
If you’re incorporating credit risk into an LDI portfolio, you’re also signing up for a more dynamic risk management process. It’s not enough to just track your portfolio’s duration. You need oversight frameworks for:
• Issuer-Specific Exposures: Are you concentrating too much in a single name or sector?
• Credit Quality Drifts: Has the issuer’s rating changed? Are you creeping into junk territory inadvertently?
• Macroeconomic Trends: A downturn or sector-specific slump can spike defaults and widen credit spreads.
• Regulatory Constraints: Market regulations can limit credit exposures or require capital buffers. Insurers, for example, face strict capital requirements for lower-rated bonds.
This might mean frequent dialogue between portfolio managers, credit analysts, and risk officers. Stress testing is also huge. We can’t just look at historical default rates and call it a day. You might do scenario analysis on spread widening under different economic conditions.
• Align Credit Allocation with Liabilities: If your liability has a credit dimension (like a pension plan from a corporate sponsor), moderate corporate bond exposures may make sense—they move in tandem with your liability.
• Limit Volatility with a Core Hedging Sleeve: Use high-quality government securities and swaps to hedge most of the interest rate risk. Then add credit in measured doses.
• Diversify Across Issuers and Sectors: Over-concentration is a classic mistake. Spread the risk.
• Use Derivatives Wisely: CDS overlays can be a flexible alternative to buying or selling physical credit, but watch out for costs and liquidity.
• Monitor Fundamentals: Even in an LDI context, you can’t let fundamental research slide. Keep an eye on credit metrics, industry outlooks, and macro trends.
• Consider Sponsor and Regulatory Constraints: Some sponsors have strict guidelines or a “no junk” rule. Others might have a green light for diversification. Know your environment.
• Adjust for Potential Downgrades: If you hold a lot of BBB-rated bonds, remember that a single-notch downgrade puts them into high-yield territory. The market’s spread jump can be substantial.
I remember working with a small retirement plan sponsor whose board was drawn to the seemingly higher yield of triple-B bonds. They loaded up on them to help close a funding gap. Then—bam—the economy slowed, and a couple of these bonds were downgraded to junk. The portfolio got hammered by not only a widening of spreads in those positions but also by a more general flight to higher quality across the whole bond landscape. The moral of that story: credit is a powerful tool in LDI, but it requires vigilance (and maybe a bit of humility).
Imagine a defined benefit pension plan that’s 90% funded. The sponsor wants to improve the funded status but stay aligned with liabilities. They might do this:
• 80% of the portfolio in a “core hedging” strategy (long-duration investment-grade bonds, interest rate swaps, some government-backed securities). This covers most of the interest rate risk.
• 15% in investment-grade corporate bonds (spread duration around 6 to 7). This offers an OAS of, say, 120 bps over Treasury, boosting returns slightly.
• 5% in high-yield or emerging market bonds with an OAS of 400 bps, but with higher expected volatility and default risk.
When markets are stable, the extra spread can accelerate the plan’s path to full funding. In a stressed environment, the plan might see drawdowns in credit exposures. However, the carefully managed portion in high-yield—just that 5%—limits catastrophic damage.
Below is a simple Mermaid flowchart to illustrate how credit exposure can be introduced within a core LDI strategy. The arrow from the LDI Strategy leads to both a “Credit Allocation” bucket (for higher returns but extra risk) and a “Non-Credit Allocation” bucket (for pure interest rate hedging). The synergy between these two allocations influences both the level and volatility of the overall portfolio return.
flowchart LR A["Liabilities <br/> (Pension or Insurance)"] --> B["LDI Strategy <br/>(Interest Rate Hedging)"] B --> C["Credit Allocation <br/>(IG, HY, EM)"] B --> D["Non-Credit Allocation <br/>(Treasuries, Govies)"] C --> E["Enhanced Return"] E --> F["Risks <br/>(Default, Downgrade, Spread)"]
Incorporating credit risk in a liability-driven portfolio is a balancing act. Yes, you can generate additional returns to help close funding gaps or better match liabilities with a spread component. But you also introduce default and downgrade risks, liquidity constraints, regulatory complications, and a fair dose of monitoring and analysis.
If you’re prepping for CFA Level III, here are few helpful pointers:
• Practice Spread Duration Calculations: Be ready to compute or interpret how changes in credit spreads impact bond prices.
• Understand OAS: You might get scenario-based questions that differentiate nominal spreads, Z-spreads, and OAS.
• Credit Derivatives: Know how CDS contracts can alter your credit exposure in an LDI context—and keep in mind counterparty risk.
• Regulatory Nuances: Insurance companies and pension plans often face additional constraints; exam questions might test how you handle certain rating limits or capital requirements.
• Real-World Integration: The exam loves scenario-based vignettes. Be prepared to evaluate how macroeconomic developments (like a recession) might affect a credit-tilted LDI portfolio.
A big chunk of success on the exam—and in real life—boils down to risk measurement and risk mitigation. Keep your eyes on default and downgrade risks, manage spread duration carefully, and ensure that your governance structure can handle the added complexity. Then, hopefully, you can deploy credit effectively to meet your liability obligations.
• Hull, J. (2018). “Options, Futures, and Other Derivatives.” Chapters on credit derivatives.
• CFA Institute. (2025). “2025 Level III Curriculum—Fixed‑Income Active Management: Credit Strategies.”
• Moody’s and S&P websites for rating methodologies and historical default studies.
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