Explore the essential role of fixed income in liability-driven investing (LDI) through immunization, partial immunization, and cash-flow matching strategies, along with duration and convexity management, stress testing, and real-world ALM considerations.
When an investor or institution faces explicit future liabilities—like the pension obligations of a defined-benefit plan, or an insurance company’s promised payouts to policyholders—it’s natural to wonder: “How do we make sure we have enough money at the right time to meet these obligations?” Fixed income instruments are often the backbone of this plan. They can offer predictable coupon payments, final principal redemptions, and a stable risk‑return profile that makes them particularly handy in covering known or estimated liabilities. In other words, if you’re trying to align your outflows with your inflows (and sleep well at night), fixed income is often the first place to look.
But let’s not assume that simply throwing a bunch of bonds into a portfolio is enough. In the world of liability-driven investing (LDI), there are specialized strategies—immunization, partial immunization, and cash-flow matching, among others—that help us systematically manage interest rate risk, liquidity constraints, timing mismatches, and a host of other real-world concerns. We’ll dig into these approaches, talk about the key concepts of duration and convexity, and explore practical ways to construct and monitor a liability-driven portfolio.
Institutions such as pension funds, insurance companies, and even certain endowments need to prioritize liability coverage above all else. If you’ve got to make a series of guaranteed payments over time, you want to reduce the chance that interest rates will jump around and derail your plans. That’s the essence of LDI: manage assets so that they consistently meet liabilities.
You might recall times when, say, a pension plan faced a funding crisis because market rates changed unexpectedly, or a pandemic shifted actuarial assumptions about life expectancies. LDI tries to handle these surprises by structuring fixed income holdings—perhaps supplemented with derivatives—so that changes in interest rates (or other economic factors) have minimal net effect on the surplus (i.e., assets minus liabilities).
In practice, LDI can be more nuanced. We might aim for a full match between our assets and liabilities, or we might “partially” hedge our liability exposures if we’re also looking for some upside. We’ll look at these approaches in more detail next.
Immunization aligns the duration of the fixed income portfolio with the duration of the liabilities so that changes in interest rates have a minimal effect on the net position. This approach can feel a bit I-wish-this-was-magical, but it’s really about using durations and present value calculations to offset interest rate risk.
In simplified mathematical terms, if we let Dᴀ represent the duration of assets and Dₗ represent the duration of liabilities, full immunization typically sets:
so that a small parallel shift in interest rates has a relatively minimal effect on the surplus.
One trick, though: immunization usually presumes a parallel shift in the yield curve. Real life is rarely that simple; the curve might twist, slope, or shift in a non-parallel pattern. For that reason, advanced immunization strategies employ key rate durations or consider convexity—a second-order measure of how bond prices react to rate changes beyond a linear approximation.
Partial immunization is a hybrid approach that doesn’t fully lock in on exact matching of duration or fail to consider potential future returns. Practitioners often combine a core portfolio that’s dedicated to liability matching (or partially so) with a “return-seeking” portfolio that pursues higher yield, alpha, or alternative investments.
You might have encountered pensions that keep a big chunk of assets in a traditional immunized bond portfolio while also investing in equities or alternative credit to generate surplus returns. Partial immunization is all about balancing the safety of matching liabilities with the desire to earn a little extra. However, it introduces the possibility that these riskier assets won’t behave as planned, especially in volatile markets.
Cash-flow matching is conceptually straightforward: select bonds (or derivatives) whose principal and coupon payments occur in the same amount and at the same time as the required liability outflows. That means, theoretically, you do not need to worry as much about market fluctuations because you hold your bonds until maturity and redeem them to pay the liability.
In reality, it’s uncommon to find a perfect set of bonds to match every liability date—especially if you have complicated patterns of outflows or very long maturities. Meanwhile, the opportunity cost can be high because you may be narrowing your security selection to a subset of the fixed income market that precisely fits your desired schedule.
Below is a simple conceptual diagram of how cash-flows from bonds line up against liability outflows:
flowchart LR A["Bond Payment <br/> at T=1"] --> C["Liability <br/> at T=1"] B["Bond Payment <br/> at T=2"] --> D["Liability <br/> at T=2"] E["Bond Payment <br/> at T=3"] --> F["Liability <br/> at T=3"] A-->B B-->E
In this stylized example, each date’s liabilities are matched by bond payments at the exact same time. Straightforward in theory—tricky in practice, but it can be a powerful approach for institutions with very predictable liabilities.
Because interest rate changes are the single biggest factor influencing bond prices, duration is the central concept in LDI. Duration measures a bond’s or portfolio’s price sensitivity to changes in interest rates:
● CFₜ: coupon or principal cash flows at time t
● vᵗ: present value discount factor (i.e., 1 / (1 + YTM)ᵗ)
When the durations of assets and liabilities match, a parallel shift in rates should, in theory, produce equal offsetting gains or losses on each side. Of course, practice is messier: the yield curve rarely shifts in perfect parallel, which is why we look at key rate duration (exposure to different points on the curve) and convexity (the rate of change of duration with respect to rates).
Convexity measures the bond’s—or portfolio’s—sensitivity to changes in interest rates beyond what duration alone captures. In general, higher convexity is a good thing when rates fluctuate significantly because it means the bond’s price doesn’t depreciate as quickly when rates rise—and tends to appreciate slightly faster when rates fall.
ALM goes beyond matching durations. It integrates risk management for liquidity, reinvestment, currency exposures (if liabilities are in multiple currencies), and regulatory constraints.
Think of ALM as a dynamic balancing act. Even if you carefully match durations at the outset, your portfolio’s duration can drift over time for two reasons:
Hence, an ALM engine typically tracks how assets and liabilities evolve through time. For example, a pension plan’s liability might suddenly get longer if employees live longer or if there’s a drop in discount rates. Without real-time or periodic rebalancing, a once-perfectly immunized portfolio might become misaligned.
Imagine you’re an insurer that must pay claims from natural disasters; you can’t just rely on the idea that your bonds will eventually mature. You need enough liquidity to handle large surges of payments. Incorporating short-term, highly liquid instruments—like T-bills or money market securities—can mitigate the risk that you have to sell a longer-term, less liquid bond at a bad time.
Another subtlety is that as coupons and principal come in, you must reinvest them to maintain the original strategy—especially if you’re focusing on immunization over a long horizon. If interest rates are lower than expected, your reinvestment yields will decrease, affecting the portfolio’s ability to keep up with the liability stream.
Of course, your liability payments might not arrive in perfectly uniform increments. A life insurer could have lumps of outflows if, say, a major event triggers a large number of claims. Or a pension plan might ramp up benefits as more employees retire. Aligning bond coupon schedules—or employing derivative overlays to cover mismatch risk—can help ensure you’re not constantly short.
The old adage “don’t put all your eggs in one basket” definitely applies. Even a purely bond-focused approach can benefit from diversifying across:
• Government bonds of varying maturities.
• High-grade corporate bonds or mortgage-backed securities.
• Inflation-linked bonds, such as TIPS (U.S. Treasury Inflation-Protected Securities) or linkers in other markets, to hedge inflation risk.
• Other instruments, like interest rate swaps, to fine-tune interest rate exposure.
Diversification can help cushion the portfolio if any one segment of the bond market takes an unexpected turn, or if credit spreads widen in a certain sector. Of course, any foray beyond government securities introduces additional risk factors—like corporate credit risk or prepayment risk in mortgage-backed securities.
Even the most carefully designed portfolio can drift from its liability coverage objectives as time passes and markets move. Changing market conditions, updated actuarial assumptions, or shifts in policy targets (e.g., new government regulations or accounting requirements) might all require rebalancing.
Rebalancing can be challenging. If market rates rise, you may need to extend duration to realign with your liabilities—but bond prices will have fallen, causing opportunity losses. Alternatively, if interest rates drop, your liabilities might become more expensive. Many LDI managers also use derivatives like interest rate swaps to quickly adjust the portfolio duration without large-scale bond trading. These swap overlays can provide a cost-effective method to maintain the portfolio’s “immunized” posture.
We all know real-life events rarely unfold as expected. That’s why liability-bearing institutions frequently employ stress tests that look at:
• Yield curve flattening or steepening scenarios.
• Economic recessions with falling interest rates and widening credit spreads.
• Rapid inflationary environments with rising interest rates.
• Tail events, such as geopolitical crises or pandemics.
In each scenario, the LDI manager calculates the portfolio’s hypothetical gains or losses and compares them to the liabilities. The question is always: “Do we still have enough coverage, or is there a significant funding gap?” If the tests reveal vulnerabilities, the manager works to close them, possibly by adding hedges, changing the bond mix, or adjusting credit exposure.
Imagine a pension plan with obligations stretching 25–30 years out, some of them inflation-linked, and a workforce that’s 80% mid-career employees. The plan invests in a mix of long-term government and corporate bonds. Initially, the plan fully immunizes its interest rate risk by matching the total duration of its asset portfolio to the duration of liabilities. However, after a few years:
• Some employees retire, changing the shape of future payments.
• Interest rates fall 200 basis points, increasing the present value of liabilities more significantly than expected.
• The plan manager also invests in opportunistic corporate bonds to boost returns.
Now the plan’s net duration (and convexity) relationship with liabilities has changed. It might require a new interest rate swap or a shift in the bond composition to restore alignment. Alternatively, the manager might adopt a partial immunization approach if they believe corporate spreads are attractive enough to justify taking on a bit of risk.
• Regularly update liability assumptions. Life expectancy, discount rates, and pension formula changes can transform your liability profile dramatically.
• Use derivative overlays with caution. Swaps or futures can be cost-effective, but they also have counterparty risk and margin requirements.
• Watch out for yield curve twists, as immunization often assumes parallel moves. Employ key rate duration strategies to hedge exposures to different maturities.
• Maintain adequate liquidity. Especially in uncertain environments, you don’t want to be forced to sell long-dated, illiquid bonds.
• Avoid ignoring credit risk. A simpler approach might be purely government bond-based immunization, but many institutions prefer some credit exposure to enhance returns or match the credit sensitivity of liabilities (e.g., if liabilities are discounted at a corporate bond spread).
At the heart of liability-driven investing is a simple challenge: making sure your money meets your obligations, no matter what the markets do. Fixed income instruments, with their predictable structure and wide variety of maturities, are often the ideal tool. But effective LDI is no walk in the park. It demands careful design—whether through immunization, partial immunization, or cash-flow matching—plus diligent monitoring, rebalancing, and stress testing.
Practitioners must strike the right balance between minimizing interest rate risk and pursuing returns that keep the plan affordable and well-funded. By leveraging duration and convexity concepts, modeling future liability streams accurately, and embracing both diversification and dynamic rebalancing, a well-managed LDI strategy provides stability and confidence.
• Understand the differences among immunization, partial immunization, and cash-flow matching. Be prepared for questions about matching durations, or how to mitigate interest rate risk under parallel vs. non-parallel shifts.
• Be ready to apply duration and convexity math. The CFA exam may include item sets or constructed-response questions that require computing the new duration of a bond or portfolio.
• Make sure you know how to interpret and perform scenario analyses or stress tests. Exam prompts often simulate real-world shocks to see if you can evaluate the effect on liabilities and portfolio assets.
• Know how to handle shortfalls or surpluses if interest rates move contrary to your expectations. The exam might test your awareness of the rebalancing mechanics and the use of derivatives.
• Watch for multi‑step item sets. For instance, the question might begin with an existing LDI setup and then throw in a shift in the yield curve or a regulatory change, prompting you to re-evaluate the portfolio’s alignment with liabilities.
• Fabozzi, F. J. (ed.). (2016). “Bond Markets, Analysis, and Strategies.”
• Tuckman, B., & Serrat, A. (2011). “Fixed Income Securities: Tools for Today’s Markets.”
• CFA Institute. (2025). “2025 Level III Curriculum, Volume 4: Derivatives and Risk Management” and “Volume 1: Asset Allocation.”
• Journal of Portfolio Management, “Liability-Driven Investing” issues (case studies and empirical analyses).
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