Hurricane Season Insurance Stocks Tracker Excel: P&C and Reinsurance Watchlist (2026)

This hurricane season insurance stocks tracker is a free Excel workbook that monitors U.S. property-casualty carriers, reinsurers, insurance brokers, and Florida-focused insurers (such as TRV, CB, ALL, EG, and UVE) through the Atlantic hurricane season, which runs June 1 to November 30. Built with MarketXLS formulas such as =QM_Last("TRV"), =PriceToBook("CB"), and =DividendYield("ALL"), it scores each company's catastrophe exposure, models combined-ratio scenarios for quiet, normal, above-average, and hyperactive storm seasons, and tracks how the group trades as storms and reinsurance renewals make news. A static sample and a live formula template are linked at the bottom. The workbook is educational, not investment advice.

See it in actionMarketXLS video

The full MarketXLS demo

Watch full demoBook a demo

Try it in your own spreadsheet

Get the free MarketXLS sample workbook (.xlsx).

Email address

Download free workbook

No account needed. MarketXLS live data requires a paid plan. Preview workbook

Explore more videos +

IntroductionHistorical DataOptions DataUse-cases

This table is the kind of dashboard you can pin to the first page of a research workbook and refresh every morning during the storm season. The rest of this post explains why each of these sub-industries deserves its own slot, how to score catastrophe exposure inside the workbook, and how to use MarketXLS formulas to keep prices, dividends, and valuation ratios live without manual data entry.

Hurricane season insurance stocks tracker excel: why this matters in late May 2026

Hurricane season insurance stocks tracker excel is not a generic stock screener. It is a calendar-driven workflow tied to a very specific six-month window. NOAA, Colorado State University, and major reinsurance brokers publish seasonal forecasts in late May and June, retail rates have already been reset by state regulators across most coastal states, and reinsurance treaties for property-cat layers renew at the June 1 mid-year renewal date. By the time the first named storm forms in the Gulf, insurance equities have usually already moved on outlook and rate signals. A tracker workbook lets a financial advisor or self-directed investor get ahead of the calendar instead of reacting to a CNN banner.

There are four reasons the 2026 season deserves a fresh look in Excel rather than a one-off chart in a brokerage app.

First, the Atlantic basin has run hot for several consecutive seasons, and reinsurance pricing has reset higher across most catastrophe layers. That repricing benefits Bermuda reinsurers like Everest Group and RenaissanceRe, but it also raises the deductible that primary carriers retain. Tracking which carriers absorb more of the first dollar of loss is exactly the kind of distinction that lives well in a workbook column rather than a news headline.

Second, Florida-focused carriers have undergone several rounds of legislative reform on assignment-of-benefits and litigation. That has changed the loss ratio profile of names like Universal Insurance Holdings (UVE) and HCI Group (HCI). Whether the reform sticks is an open question every storm season. A scenario tab in Excel that flips combined ratio by a few points across "quiet", "normal", "above average", and "hyperactive" outlooks captures the asymmetry that hides behind those names.

Third, brokers like Marsh McLennan and Aon collect fees on rising premium volume regardless of how many storms hit. Their correlation to catastrophe outcomes is far lower than the carriers they place business for. A correlation matrix between brokers, primary insurers, and reinsurers is one of the most useful pages in any insurance research workbook.

Fourth, the macro setup of 2026, with bond yields still elevated relative to the prior cycle, has expanded investment income for almost every primary insurance company. Net investment income has gone from a sleepy line item to a major earnings driver. That deserves its own column in the watchlist next to underwriting metrics.

This is why the workbook in this guide is built around six tabs: a How To Use guide, a Main Dashboard, a Scenario Analysis page, a Strategy page with pairs and hedge ideas, a Portfolio Allocation page that sizes positions from inputs, and a Correlation Matrix.

Why insurance equities trade on storm-season news

Insurance is fundamentally a probability business. Underwriters price policies based on expected loss frequency and severity, set aside reserves, and buy reinsurance for the tail. When the Atlantic basin produces a more active season than the prior year's pricing assumed, two things happen at once: primary carriers report higher catastrophe losses (often shown as "Cat Losses" or "Cat & Weather" in supplements), and reinsurance treaties reprice higher at the next renewal window.

For investors, this creates a feedback loop. A bad storm year is bad for the primary carrier's current earnings, but it can be good for the reinsurer's pricing power in the following twelve months. That is the heart of the "hard market" thesis that has driven reinsurance equities like Everest Group and RenaissanceRe for most of the post-2022 period.

Conversely, a quiet hurricane season is generally good for primary carriers' earnings (lower catastrophe losses flow through the combined ratio), but it can soften reinsurance pricing on the next renewal. The asymmetry between these two responses is why a watchlist that mixes primary P&C, reinsurance, brokers, and Florida-focused carriers is more informative than a single-name research note.

There are a few extra wrinkles that make hurricane season particularly interesting in 2026:

• Florida Citizens has continued to depopulate its book to private carriers, which has increased FL P&C exposure for several listed names.
• California wildfire losses (different peril, but same balance sheet) are still in the rear-view mirror for diversified carriers.
• Commercial property rates have softened in some segments after several years of hard market increases.
• Reinsurance retention levels have gone up for many primary insurers, meaning they keep more of the first loss layer.

A spreadsheet does not predict which storms will hit. It does, however, force you to compare apples to apples across these carriers using consistent metrics.

The metrics that matter most for the watchlist

A hurricane season insurance stocks tracker excel needs more than just price and P/E. The metrics that actually differentiate insurance equities are book-value driven, return-on-equity oriented, and dividend supported. Below are the columns the workbook uses for each ticker, and why each one earns its slot.

Current price and 52-week range. Insurance equities can grind sideways for months and then move sharply on a single catastrophe announcement. Knowing where the stock sits in its 52-week range is useful context. =QM_Last("TRV") returns the live price, and =FiftyTwoWeekHigh("TRV") and =FiftyTwoWeekLow("TRV") bookend the range.

Price-to-book ratio. Insurance valuation has historically anchored to book value because reserves and investment portfolios dominate the balance sheet. A P/B above 2 generally signals a high-quality compounder; below 1 generally signals stress, run-off, or skepticism. =PriceToBook("TRV") exposes that ratio at a glance.

Price-to-earnings ratio. Cyclical, but useful as a sanity check. A diversified P&C carrier trading at a single-digit P/E is unusual; brokers trading at 25x+ is normal. =PERatio("TRV") is the live formula.

Dividend yield. Diversified P&C insurers and reinsurers tend to pay meaningful dividends. Florida-focused carriers often pay outsized yields that reflect higher tail risk. =DividendYield("TRV") returns the yield as a percent number; divide by 100 in Excel to format as a percentage if needed.

Beta. Insurance betas vary widely. Diversified P&C carriers like Travelers and Chubb tend to run sub-1 betas; Florida-focused carriers can show very low betas because their idiosyncratic risk is high but uncorrelated with the S&P 500. =Beta("TRV") returns the value.

Market capitalization. Useful for liquidity and for portfolio construction. =MarketCapitalization("TRV") returns the live market cap, which the portfolio tab uses to size positions.

Return on equity. Especially relevant for reinsurance. Reinsurers running 15 percent ROE through a hard market cycle are demonstrating pricing power. =ReturnOnEquity("EG") and =ReturnOnAssets("EG") are both live in MarketXLS.

Catastrophe exposure score. This is a workbook-specific column from 1 (low) to 10 (high). It is not pulled by a MarketXLS formula because catastrophe exposure is a judgement based on book composition, geography, and reinsurance program. The workbook color-codes this column green, yellow, or red.

The four sub-industries inside the tracker

Once the metric grid is in place, the tickers slot into four sub-industries. Each one earns its allocation for a different reason.

Diversified P&C insurers (TRV, CB, AIG, HIG, CINF, WRB)

These are the anchor positions. They write a broad book across commercial property, casualty, specialty lines, workers compensation, and personal lines. Their hurricane exposure is real but is generally well-reinsured. Their dividends are sustainable, their balance sheets are deep, and their investment portfolios produce meaningful net investment income.

In the watchlist, these are the names you can hold through a season without losing sleep over a Category 4 in the Gulf. Their combined ratios usually stay below 100 in normal seasons, and they have decades of catastrophe experience to draw on for reserving.

Auto and home P&C insurers (PGR, ALL)

Allstate writes a large homeowners book that is exposed to coastal storms. Progressive writes mostly auto, with a smaller homeowners segment. Both have rebuilt combined ratios after the inflation surge of the early 2020s, and both have rate increases either filed or in force in most coastal states.

These names move more on combined ratio surprises than on top-line growth. Hurricane season is one of the biggest sources of combined-ratio surprise. Watching daily prices alongside published cat losses (which are usually disclosed monthly) is the right cadence.

Reinsurers (EG, RNR, AXS, ARCH)

Bermuda-domiciled reinsurers carry catastrophe risk that primary insurers cede to them. They benefit from rising reinsurance rates in hard markets but are exposed to the worst catastrophe outcomes. Their earnings can swing wildly from year to year. Everest Group, RenaissanceRe, Axis Capital, and Arch Capital cover the spectrum from pure cat reinsurance to specialty mortgage reinsurance.

In the workbook, these get higher catastrophe exposure scores (9 or 10) because a single bad season can move them more than the broader insurance group. Reinsurers also tend to trade at lower P/E multiples than primary insurers, which reflects that volatility.

Insurance brokers (MMC, AON, WTW, BRO)

Marsh McLennan, Aon, Willis Towers Watson, and Brown & Brown collect fees and commissions on premium volume. They take essentially no balance sheet risk on the underlying policies. When premium rates rise, broker revenue rises. When loss ratios deteriorate, that is the carriers' problem, not the brokers'.

Brokers usually trade at the highest P/E multiples in the insurance complex (often above 20) because their earnings are recurring, asset-light, and largely uncorrelated with catastrophe outcomes. In a portfolio context, they are the natural pairs-trade leg against carriers with high catastrophe exposure.

Florida-focused P&C (UVE, HCI)

Florida-focused carriers are the tail-risk slice of the watchlist. Universal Insurance Holdings (UVE) writes almost entirely Florida homeowners. HCI Group (HCI) is heavily Florida coastal. Their entire business model depends on Florida regulatory dynamics, reinsurance pricing, and the storm track in any given year.

These names earn the highest catastrophe exposure score (10) and are usually sized small in any allocation. They are also the most likely to provide outsized returns in a quiet season because their valuation can be deeply discounted entering hurricane season.

A scenario analysis approach for combined ratio sensitivity

The Scenario Analysis tab in the workbook layers four storm-season outlooks on top of a baseline combined ratio for each sub-industry:

• Quiet Season: minus 3 percentage points on combined ratio (lower-than-expected cat losses)
• Normal Season: baseline combined ratio
• Above Average: plus 5 percentage points on combined ratio
• Hyperactive: plus 12 percentage points on combined ratio

The shocks are illustrative, not predictive. The point is not to forecast the season. It is to translate a verbal season outlook into a quantitative impact on each carrier's underwriting profitability. A diversified P&C with a 96.5 baseline combined ratio still earns an underwriting profit in a quiet season (93.5) and remains roughly breakeven in an above-average season (101.5). A Florida-focused carrier with a 99.5 baseline can flip to a 111.5 combined ratio in a hyperactive season, which is the kind of outcome that historically forces equity raises or run-off.

The scenario tab uses these MarketXLS formulas to support the analysis:

• =Revenue("TRV") - premiums plus fee income, the denominator behind combined ratio
• =EarningsPerShare("TRV") - EPS gets compressed in high-cat years
• =ReturnOnEquity("TRV") - tracks earnings power on a normalized basis
• =ProfitMargin("MMC") and =OperatingMargin("MMC") - relevant for broker comparison

Brokers do not get a combined ratio because they do not underwrite risk. They get a profit margin column and are flagged as "low cat exposure" in the scenario table.

Strategy ideas the workbook supports

The Strategy tab is intentionally educational, not prescriptive. There are two sections.

Pairs trade ideas

Pairs trades take advantage of the structural correlation differences within the insurance universe. For example, going long a reinsurer with strong ROE through a hard cycle (EG) against a Florida-only primary carrier (UVE) expresses the view that reinsurance pricing power is more durable than primary Florida pricing power. The notional sizes shown in the workbook (50,000 long, 25,000 short) are illustrative; the goal is to show the structure.

Other pairs in the workbook include a diversified global P&C (CB) against a concentrated Florida carrier (HCI), and a broker (MMC) against a primary auto/home carrier (ALL). Each pair is an opinion about which leg the market is mispricing. None of them are recommendations.

Catastrophe put hedges

For investors who already own significant insurance exposure, the Strategy tab also lays out a put-hedge sizing example. The columns include spot price, strike (percent out-of-the-money), notional protected, implied vol (illustrative), and approximate cost as a percent of notional. The point is to show how a single-name put hedge on a Florida-focused carrier can be sized to offset a specific dollar exposure.

The relevant MarketXLS formulas here are:

• =QM_Last("UVE") - live spot price for strike selection
• =QM_GetOptionChainActive("UVE") - live option chain with strikes, IV, and open interest
• =Beta("UVE") - useful when sizing an index-level hedge as a proxy

Live option chain access through MarketXLS is one of the more powerful features for any hedging workflow. See the options data documentation for the chain-function overview and the behavior of QM_GetOptionChainActive.

Portfolio allocation across the universe

The Portfolio tab takes two inputs from the Main Dashboard (portfolio size and catastrophe allocation percent) and divides the resulting catastrophe budget across six buckets:

• Diversified P&C: 30 percent (TRV / CB anchor)
• Auto/Home P&C: 20 percent (PGR / ALL)
• Reinsurance: 20 percent (EG / RNR)
• Florida-focused: 5 percent (UVE / HCI) - sized small intentionally
• Insurance Brokers: 20 percent (MMC / AON)
• Cash buffer: 5 percent - dry powder for post-storm dislocations

This is one allocation framework, not the framework. The point of using inputs and live formulas is that you can change the weights, the tickers, or the portfolio size and the dollar allocations and share counts recalculate automatically.

Allocation formulas use:

• Live prices from =QM_Last("TRV") to compute share counts
• Reference to the input cells on the Main Dashboard sheet so the workbook stays single-source
• =IFERROR(ROUND(C/E,0),0) patterns to avoid divide-by-zero errors when a price is not yet pulled

Correlation matrix and why it matters

The Correlation tab uses a 10x10 illustrative matrix of return correlations between TRV, CB, ALL, PGR, AIG, EG, RNR, MMC, AON, and UVE. The cells are color-coded so that 0.80+ shows up red (high correlation, low diversification), 0.60 to 0.80 yellow, 0.40 to 0.60 green, and below 0.40 light blue (most diversifying).

Four insights jump out of the matrix:

• Reinsurers EG and RNR sit at 0.88, reflecting shared catastrophe exposure
• Brokers MMC and AON cluster together at 0.85 and decouple from carriers
• Auto-heavy P&C (PGR, ALL) shows 0.80 correlation, so they do not diversify each other
• Florida-only UVE correlates weakly with the broad P&C group, which is exactly what you would expect for an idiosyncratic FL coastal book

To make the correlation live in the workbook, the relevant MarketXLS formula is =QM_GetHistory("TRV"), which pulls a daily history that Excel's native =CORREL() function can then operate on. The illustrative matrix in the sample workbook shows what a finished output looks like; the formula version shows how to source the history.

How the workbook ties together

The full workbook flow is intentionally linear:

1. Inputs on Main Dashboard drive portfolio size and catastrophe budget
2. The watchlist on Main Dashboard tells you which names to look at
3. Scenario Analysis tells you which names are most sensitive to storm intensity
4. Strategy tells you how a pairs trade or put hedge would be structured
5. Portfolio tells you how to size positions across the universe
6. Correlation tells you which sub-industries diversify each other

Every workbook starts on the Main Dashboard. Change the portfolio size from 250,000 to 1,000,000 and the Portfolio tab dollar allocations recalculate. Change the catastrophe allocation from 10 percent to 5 percent and the cat budget shrinks proportionally. The numbers in the workbook are illustrative; the structure is the actual deliverable.

Download the templates

Static sample (pre-filled with values as of 2026-05-22, MarketXLS formula reference column included):

Live MarketXLS formula version (every metric refreshes on demand, requires the MarketXLS add-in):

Open the template in Excel, sign in to MarketXLS, and hit Refresh on the ribbon. Every price, ratio, dividend yield, and option-chain field repopulates with live data.

FAQ: Hurricane season insurance stocks tracker excel

Q: When does the Atlantic hurricane season actually start in 2026? A: The 2026 Atlantic hurricane season officially runs from June 1, 2026 through November 30, 2026, the standard six-month window used by the National Hurricane Center. Pre-season storms occasionally form in May. Reinsurance treaties for U.S. property catastrophe layers renew at the June 1 mid-year renewal date, which makes late May the natural time to update an insurance-stocks watchlist.

Q: Which insurance stocks have the highest hurricane exposure? A: Florida-focused homeowners carriers like Universal Insurance Holdings (UVE) and HCI Group (HCI) have the highest concentrated exposure. Reinsurers like Everest Group (EG), RenaissanceRe (RNR), Axis Capital (AXS), and Arch Capital (ARCH) carry tail catastrophe exposure across many primary carriers' books. Diversified P&C carriers like Travelers (TRV) and Chubb (CB) have meaningful exposure but spread across a broader book.

Q: Are insurance brokers exposed to hurricane losses? A: Brokers like Marsh McLennan (MMC), Aon (AON), Willis Towers Watson (WTW), and Brown & Brown (BRO) collect fees and commissions on premium volume but do not take underwriting risk on the policies they place. They are largely insulated from direct catastrophe losses, which is why their correlation to storm outcomes is much lower than carriers. They can still see indirect impact if a very large catastrophe disrupts overall premium-renewal flow.

Q: What MarketXLS formulas are most useful for insurance stock analysis? A: For valuation, =PriceToBook("TRV") and =PERatio("TRV") anchor most insurance comparisons because book value is the natural balance sheet metric. =ReturnOnEquity("TRV") tracks earnings power. =DividendYield("TRV") shows the income side. =Beta("TRV") shows market sensitivity. =QM_Last("TRV") pulls the live price. For options-based hedging, =QM_GetOptionChainActive("UVE") returns the full live option chain. Verify any formula via the MarketXLS function reference before using it.

Q: How do I model combined ratio scenarios in Excel? A: Combined ratio equals loss ratio plus expense ratio. Anything above 100 percent means the underwriting business lost money for the year (before investment income). The simplest scenario approach is to start with a baseline combined ratio (96 to 99 for most U.S. P&C carriers) and shock it by plus or minus several percentage points to represent different hurricane season outcomes. The Scenario Analysis tab in the downloadable workbook does this for the full universe.

Q: Can I track live option chains for insurance stocks in Excel? A: Yes. The MarketXLS formula =QM_GetOptionChainActive("TICKER") returns the live option chain (strikes, bids, asks, implied volatility, open interest) directly inside Excel. This is what powers the put-hedge sizing section of the Strategy tab in the workbook. See the MarketXLS options-data guide page for more.

Q: Is this tracker investment advice? A: No. This template is educational and analytical. It is not a recommendation to buy or sell any security, a prediction of hurricane losses or storm activity, or a forecast of insurance equity prices. Insurance stocks can suffer sharp drawdowns during active storm seasons or large catastrophe events. Always consult a licensed financial advisor before making investment decisions.

The bottom line

Hurricane season insurance stocks tracker excel is the kind of workflow where Excel adds genuine value over a brokerage app: it lets you compare carriers, reinsurers, brokers, and Florida-focused names against each other on the same metric grid, model combined-ratio scenarios across different storm-season outcomes, size positions from a single portfolio-size input, and run a correlation matrix to understand which sub-industries actually diversify each other. With MarketXLS, prices, ratios, dividend yields, and option-chain fields update from formulas instead of manual entry (stock quotes are 15-minute delayed on the Standard plan), and you can pin the workbook to the first tab of your research process for the entire June 1 through November 30 window.

The full workbook (sample and live formula version) is linked in the Download section above. To see how MarketXLS handles real-time price streaming, option chains, and full balance-sheet metrics across a portfolio of equities, book a 1-on-1 demo.