
A primer on the one asset class driven by nature, not by financial markets
Suhaimi Zainul-Abidin
Chief Executive Officer, Quantedge Capital
Lee G Ping
Vice-President, ILS Quantitative Research, Quantedge Capital
In 2025, the global catastrophe bond market delivered its third consecutive year of double-digit returns, with the benchmark Swiss Re Global Cat Bond Performance Index gaining 11.4%. This strong performance highlights a core feature of the asset class: a cat bond loses money only when a specific disaster triggers a payout. Because 2025 saw few such events, with insured catastrophe losses falling below trend and no major hurricane making US landfall, bondholders simply collected their coupons.
In contrast, broader financial markets spent the year unsettled by tariffs, currency swings, and geopolitical shocks. None of these influenced where a storm made landfall. This structural independence forms the core investment case for insurance-linked securities (ILS): instead of returns driven by the economy, corporate earnings or government credit, ILS is driven by the forces of nature and thus represents a fundamentally distinct asset class worth evaluating on its own terms.
Almost every investment is, at its heart, a bet on human economic activity. Buy a share and you are betting a company grows its earnings; buy a bond and you are betting a borrower stays solvent enough to repay; hold a currency and you are betting on one economy's strength against another. In each case, the return depends on how some company, government, or economy performs. An insurance-linked security breaks that pattern. Instead of backing a business, it asks the investor to underwrite a physical outcome.
A wildfire catastrophe bond issued for an energy utility illustrates this distinction clearly. Its performance has nothing to do with whether the underlying utility is profitable, well-managed, or successfully navigating the energy transition. Performance relies solely on whether a specific physical event occurs, such as a severe blaze burning through a predefined geographical zone. While the referenced assets might sound familiar, from office buildings to industrial sites, the return driver is entirely decoupled from conventional finance.
ILS exist because insurers themselves cannot retain all of the exposure they take on from policyholders. To manage risks like a homeowner’s flood exposure or a manufacturer’s earthquake liability, insurers pass a portion of their risk to reinsurers, who then distribute it further into the capital markets.
ILS is where this risk transfer chain ends. Pension funds, hedge funds, and specialist ILS funds step in as the ultimate risk-bearers. They are compensated for absorbing the financial consequences of a strictly defined event, such as a European windstorm or a wildfire in California. By absorbing this volatility, capital markets ensure that primary insurers, and the businesses and households they protect, can access reliable coverage in the first place.
The most accessible and liquid corner of the ILS market is the catastrophe bond. It is a high-yield fixed income security issued through a three-party structure: a sponsor transferring the risk, a special-purpose vehicle that issues the bond and holds the collateral, and the end investors. The vehicle is fully collateralised for the life of the deal with the proceeds held in trust, which removes counterparty credit risk. A cat bond’s total yield combines the interest earned on the underlying collateral with the risk premium paid for the catastrophe exposure.
A deal resolves in one of two ways. If no qualifying event occurs during the term, the trust is liquidated at maturity, and investors get their principal back alongside all collected coupons. Conversely, if a triggering event does occur, the vehicle releases funds to the sponsor, and investors absorb the corresponding loss.
How that payout is defined varies, and the definition matters. Some bonds settle on indemnity, covering the entirety of the sponsor’s actual losses; others trigger off an industry-wide loss index, or off pure physical parameters such as the amount of rainfall or an earthquake’s measured magnitude. Parametric triggers pay out quickly and transparently but leave the sponsor potentially exposed to basis risk; indemnity triggers track real losses but take longer to settle. Understanding these structures and their terms is a large part of the work.
Historical benchmark indices reflect the structural resilience of cat bonds, displaying a steady upward trajectory interrupted only occasionally by major loss events. Hurricane Ian in 2022 remains the standout drawdown of recent years. Outside of such episodes, the index has delivered positive returns in most years since inception. Notably, 2023 through 2025 marked three consecutive years of double-digit gains, an unprecedented run in the market’s history. After the losses incurred in relation to Hurricane Ian in 2022, and a stretch of costly years, reinsurance capital retreated and the survivors repriced risk sharply higher — the spreads paid on new cat bonds widened to levels not seen in years. Investors who stepped in afterwards were paid far more to carry the same physical risk, and the benign loss seasons that followed did the rest. This pattern of infrequent, sharp drawdowns against a highly durable long-run trend captures the core investment case for ILS.
Quantedge’s core investment thesis rests on a fundamental market concept: risk premia. Just as the equity risk premia compensates investors for the risk of falling stock prices and the term premia compensates bondholders for holding longer-duration assets, ILS operates on the same logic. The critical distinction is that the volatility being priced is driven entirely by physical outcomes. It represents the explicit probability of a storm making landfall or a fault line rupturing with enough force to trigger a payout.
This dynamic makes ILS the purest form of risk premia available in liquid markets. Corporate debt, earnings, and monetary policies have no bearing on the investor’s returns and the risk they are paid to bear. The exposure is the physical event itself.
In the cat bond market, the premium is quoted directly, as the spread a bond pays over the expected loss its own models assign — often a sizeable multiple of that expected loss. When capital is scarce and recent losses are fresh, that multiple widens. When capital floods back in, it compresses. Harvesting the catastrophe risk premia well therefore means being disciplined about investing when the compensation is generous and not when it is thin.
The structural purity of ILS also creates a genuine diversification benefit. While most alternative strategies claim some degree of non-correlation, ILS earns the label literally. Its core risk drivers are physical rather than economic. A hurricane’s path does not consult the Federal Reserve, and an earthquake’s magnitude is indifferent to geopolitical headlines.
The clearest evidence comes from the years that punished conventional portfolios. In 2020, as the pandemic wiped roughly a third off global equities in a matter of weeks, cat bonds barely registered it — a virus triggers no catastrophe bond — and the index still finished the year in positive territory. In 2022, the classic balanced portfolio had its worst year in decades: equities and bonds fell together, down double digits apiece, as inflation and rising rates hit both at once. The cat bond index had its only losing year in two decades that same year, but for an entirely unrelated reason, Hurricane Ian, and the drawdown was around two per cent rather than the seventeen a 60/40 investor absorbed. The point is not that ILS never falls. It is that when it falls, it falls for reasons that have nothing to do with why everything else is falling. 2025 illustrates the point clearly, with a double-digit return indifferent to a year of tariffs, currency swings, and geopolitical upheaval.
Crucially, this diversification extends beyond the asset-class level and exists inherently within the ILS market itself. Exposures are specific by design, defined along two primary axes: a region (the country or area of risk) and a peril (the specific triggering event). This granularity allows for highly precise risk allocation across distinct categories, such as US hurricanes, Japanese earthquakes, or European windstorms. Because these events are physically uncorrelated, they operate as distinct positions with entirely independent triggering mechanisms. Consequently, a well-constructed ILS book is not a single, concentrated wager on global disaster. It is a meticulously engineered portfolio of independent risks.
Constructing a properly diversified portfolio depends entirely on the ability to accurately price each underlying risk. This is the domain of the catastrophe model. These advanced simulations translate physical events into estimated financial losses, drawing on the combined expertise of meteorologists, civil engineers, statisticians, actuaries, and quantitative researchers. By running tens of thousands of simulated disaster scenarios against a fund's actual exposures, the model generates a full distribution of possible outcomes and their respective probabilities. But the models only produce a view. In fact, the market leans on a handful of commercial vendor models, and those models can disagree, sometimes materially, on the same peril. This is because each model embeds its own assumptions about hazard, vulnerability, and exposure. Therefore, the edge does not come from owning and operating a model. It comes from forming an independent view of the risk: stress-testing the vendors’ assumptions, blending them where they diverge, and layering in proprietary data sourced from insurance counterparties.
Few firms possess the infrastructure required to build and validate these complex models. This capability gap makes ILS one of the most difficult corners of the hedge fund industry to navigate effectively. It requires bridging two historically separate disciplines with entirely different data requirements and modelling conventions.
Success in this space is thus not just a question of regulatory licensing or capital deployment. It demands building and sustaining deep multidisciplinary expertise across meteorology, engineering, and actuarial science. Managers must also source proprietary data from insurance counterparties and continuously stress-test their models against a physical world that continues to evolve. This barrier to entry keeps the field narrow, even as institutional demand for uncorrelated returns continues to grow.
Quantedge entered the reinsurance and ILS space in 2012, initially deploying capital into catastrophe bonds. By 2013, the strategy had evolved to include a meaningful allocation to reinsurance sidecars. In subsequent years, the portfolio deliberately shifted toward collateralised reinsurance contracts, industry loss warranties, and weather derivatives. This shift allowed the fund to capture risk premia more closely aligned with our target risk-return profile, optimising both the size and the distribution of our returns.
This strategic progression reflects two core tenets at Quantedge: ultra-diversification and the systematic harvesting of economically grounded risk premia. Because ILS performance is dictated by specific physical events rather than financial market prices, the asset class is decoupled from the rest of the portfolio. It provides a resilient return stream that remains uncorrelated with traditional market selloffs. That decoupling is precisely why the asset class fits the way we build portfolios. Since the Quantedge investment portfolio is sized to hit a total risk target, a return stream whose risk is measurable and largely orthogonal lets us add expected return without loading the exposures that already dominate the book. It is diversification that shows up when it is most needed, when conventional markets might be falling together.
Furthermore, the Quantedge ILS book operates on the same quantitative logic that we apply across equities, bonds, currencies and commodities. We leverage the law of large numbers, and spread risk across thousands of independent policies (effectively functioning like a highly diversified reinsurer). We also form our own view of each risk rather than trading on vendor defaults. The portfolio is managed dynamically, systematically tilting allocations toward the most attractively priced perils at any given time. Moreover, by anchoring our research team with certified actuaries, the fund secures a distinct advantage in a market where deep technical expertise, rather than sheer capital, remains the true barrier to entry.
At its core, insurance solves a fundamental problem. Capital must be deployed to absorb the risk of a catastrophic event so that businesses and households do not have to bear such risks alone. Insurance-linked securities represent the modern, securitised version of this arrangement. Today, these physical risks are modelled, priced, and traded with the same rigour applied to traditional financial asset.
For a systematic portfolio, the appeal of ILS is pragmatic. Its value lies in a return stream that answers to hurricanes and earthquakes instead of whatever macroeconomic headline is moving the broader markets that week. By systematically isolating and harvesting these purely physical risk premia, we secure a durable return driver that conventional markets cannot replicate. ILS is thus not just a useful alternative allocation within the Quantedge portfolio, it is a natural fit for our strategy – one predicated on ultra-diversification and quantitative precision.
● Swiss Re Institute. (2026). sigma 1/2026: Natural catastrophes in 2025: the persistent rise of wildfire and storm risk. https://www.swissre.com/institute/research/sigma-research/sigma-2026-01-natcat-2025-wildfire-storm-risk.html
● Swiss Re Capital Markets. (2026). Insurance-Linked Securities Market Insights, July 2026. https://www.swissre.com/our-business/alternative-capital-partners/ils-market-insights-july-2026.html
● Artemis.bm. (2026, January). Swiss Re Global Cat Bond Performance Index returns 11.40% for 2025. https://www.artemis.bm/news/swiss-re-global-cat-bond-performance-index-returns-11-40-for-2025/
● Artemis.bm. (2025, January). Swiss Re cat bond Index delivers 17.29% total-return in 2024, second-highest ever. https://www.artemis.bm/news/swiss-re-cat-bond-index-delivers-17-29-total-return-in-2024-second-highest-ever/
● Morningstar. (2024). Catastrophe Bonds as Portfolio Diversifiers: Pros and Cons. https://www.morningstar.com/bonds/catastrophe-bonds-strategic-diversifier
● Morningstar. (2024). Naysayers Were Wrong About the 60/40 Portfolio. Here’s Why. https://www.morningstar.com/portfolios/why-naysayers-were-wrong-6040-portfolio
● Cummins, J. D., & Weiss, M. A. (2009). Convergence of insurance and financial markets: Hybrid and securitized risk-transfer solutions. Journal of Risk and Insurance, 76(3), 493–545. https://doi.org/10.1111/j.1539-6975.2009.01311.x
This article is for general information only and does not constitute investment advice, a solicitation for investment nor an offer for sale of shares issued by any fund or company. Commodity interest trading involves substantial risk of loss and is not suitable for all investors. Past performance may not be indicative of future performance.