The Tide That Moves the Numbers: Why Actuaries Must Think in Underwriting Cycles, Not Snapshots

Advertise - Write For Us

Actuaries think they are neutral. They are not. They amplify cycles.

When a soft market produces favorable loss history, actuaries anchor their rate recommendations to that history. Prices come down. Underwriting loosens. The cycle extends. When losses eventually deteriorate, the same backward-looking methods mean the damage is already done before anyone has formally acknowledged it. The actuary did not cause the cycle. But the actuary's methods gave it cover. That is the uncomfortable truth this article is about.

The insurance market moves in cycles. Premiums fall, competition rises, underwriting loosens. Then something breaks, losses spike, and the market hardens again. This has happened repeatedly across every major line of business for as long as the industry has existed. For actuaries, the cycle is not just background noise. It is a direct force acting on every number they produce.

What Is an Underwriting Cycle?

The insurance market moves through two alternating phases: the hard market and the soft market. In a soft market, premiums tend to be lower and insurance companies have a higher appetite for taking on risk. In a hard market, premiums rise, underwriting tightens, and options narrow.

Catastrophic losses, inconsistent underwriting profits, and investment returns all influence where the market sits at any given moment. COVID-19 pushed the prior decade of soft conditions into a hard cycle phase from 2021 to 2024. When interest rates are high and investment income is strong, insurers can offset underwriting losses and sustain softer pricing. When rates are low, underwriting discipline becomes the only buffer.

Newsletter continues after job posts…

The Current Cycle: A Soft Market Under Stress

With improved results leading into late 2024 and early 2025, an overall soft market has emerged. Rates decreased by 4% in Q2 of 2025 according to the Marsh Global Insurance Market Index, the fourth consecutive quarter of declines. Capacity is abundant, with global reinsurance capacity estimated at a record $720 billion and catastrophe bond issuance reaching an all-time high of $17 billion in the first half of the year.

The picture is not uniform. Personal property continues to experience hard market conditions in catastrophe-exposed areas. Personal auto remains under pressure from inflation and tariff-driven cost increases. Commercial lines, specialty, directors and officers, and cyber are broadly softening. An actuary working in personal lines property faces an entirely different cycle environment than one working in commercial casualty. Recognizing that difference is not optional. It is a core professional competency.

How Pricing Decisions in a Soft Market Go Wrong: A Simple Example

Consider a commercial property insurer in 2022. Three consecutive years of low catastrophe losses have produced favorable development on prior year reserves. The pricing actuary runs the historical loss analysis, sees benign trends, and recommends a modest rate decrease to stay competitive. The underwriter, reassured by the numbers, accepts more business at those lower rates. The cycle extends.

Then 2023 and 2024 bring elevated weather losses. The same historical data that justified the rate decrease is now the baseline against which adverse development is measured. Reserves prove inadequate. Management asks why the pricing model did not flag the risk. The honest answer is that it was designed to reflect recent experience, and recent experience was unusually good. The model did its job. The job was the problem.

This is a structural feature of backward-looking actuarial methods applied without cycle-aware adjustment. The actuary saw what the data showed. What the data showed was a soft market in its most dangerous phase: the period when everything looks fine.

The Key Idea: Actuarial Methods Can Reinforce the Cycle

Here is the central problem stated plainly. Actuarial pricing methods are backward-looking. They anchor rate recommendations in historical loss experience. In a soft market, favorable loss history justifies flat or lower rates. Lower rates encourage growth. Growth in a soft market eventually produces adverse results. By the time those results show up in the data, pricing inadequacy has already accumulated for years. The actuary did not intend this. The method produced it.

The reserving function faces the same trap from the other side. Reserve estimates tend to be procyclical. In a soft market, underestimation of losses can encourage continued price competition. In a hard market, overestimation amplifies the perception of poor performance, drives up premiums further, and delays the return to balance. Reserve adequacy is a cornerstone of insurer solvency. If reserve estimates systematically track the prevailing market mood instead of providing an independent check on it, they stop being a tool of financial discipline and start being an amplifier of cycle swings.

Actuaries who recognize this tendency can take deliberate steps to counteract it. Incorporating forward-looking trend analysis, stress-testing reserves against adverse development scenarios, and explicitly documenting the cycle phase and its potential influence on loss development patterns are all practical responses to a structural problem.

What Actuaries Should Do Differently

The first step is to know where you are in the cycle before you open the model. This sounds obvious. In practice it rarely happens. Pricing actuaries should begin every rate review with an explicit assessment of current market conditions: where rates stand relative to long-run adequacy, what direction loss trends are moving, and whether the recent favorable period is likely to persist or revert. That assessment should be documented and it should influence the weight given to recent versus longer-term historical data.

In reserving, the equivalent discipline is to apply explicit skepticism to loss development factors derived from soft-market periods. Development factors from benign years systematically understate ultimate losses. Selecting those factors without adjustment and then presenting the result as a best estimate is technically defensible but professionally incomplete. A cycle-aware actuary presents the range of outcomes, identifies which assumptions are most sensitive to cycle phase, and tells management what those estimates might look like if conditions revert to historical norms rather than the recent favorable experience.

The communication function matters as much as the technical one. Actuaries are often the only people in the room who can see the full shape of what is happening to the numbers over time. When a soft market is producing results that look too good, when combined ratios are unusually favorable and reserve development is consistently positive, the cycle-aware actuary does not just note this internally. They say it out loud. They put it in writing. They make sure the board understands that the current environment is not a new normal. This is harder than it sounds in organizations where good news is welcomed and the actuary who introduces doubt is not always thanked for it. It is also exactly what the profession is for.

Practically, the techniques are not exotic. Prospective loss trend analysis that looks beyond recent experience. Benchmarking internal results against industry data to detect when your book is diverging from the market. Explicit scenario testing for a hardening market built into every pricing submission. These are not advanced methodologies. They are standard tools applied with cycle awareness rather than cycle blindness.

Conclusion

Underwriting cycles are among the oldest and most enduring features of the insurance landscape. They have humbled well-capitalized carriers, created and destroyed competitive positions, and shaped the fortunes of policyholders for generations. What has changed is the depth of analytical sophistication that actuaries bring to the industry, and with that sophistication comes a heightened responsibility.

Actuaries who internalize this lesson, who build cycle awareness into their pricing models, their reserve estimates, and their communications to management, are better positioned to serve as a stabilizing force in an inherently cyclical industry. The profession's value lies not just in technical precision, but in the wisdom to recognize when the prevailing market mood is working against sound analysis, and the professional courage to say so. In a world where soft markets eventually give way to hard ones, that awareness may be the most important tool in the actuarial toolkit.

Looking for clarity on consulting, income, or next steps?

💥 AI Prompt of the Week