When Inflation Stalls, Fidelis Insurance Finds New Leverage

Higher rates and slower growth reshape underwriting margins for the insurer

FIHL Fidelis Insurance Holdings Limited

In this report

01

Economic Snapshot

Current readings, macro dashboard, outlook

P. 2

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02

Historical Context & Fundamentals

Rates, inflation, GDP, employment, company snapshot & trends

P. 3-5

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03

Macro Sensitivity

Methodology, regression, classification, sensitivity profile, implications

P. 6-10

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04

Event Response

FOMC, CPI, NFP reactions, distributions, persistence

P. 11-13

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05

Regimes & Cycles

Current regime, historical performance, cycle phase

P. 14-17

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06

Peer Comparison

Sensitivity vs peers, positioning

P. 18-19

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07

Timing & Persistence

Lead-lag analysis, cross-correlation, persistence, methodology

P. 20-23

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08

Stress Testing & Summary

Scenarios, impact analysis, methodology, takeaways

P. 24-27

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Macroeconomic Context

The Economic Snapshot

Where the Economy Stands Today

The effective Fed Funds rate at 3.63% sits well above its 20‑year average of 2.06%, placing monetary policy in a tightening stance that historically depresses discretionary consumer spending and corporate capital allocation, especially for rate‑sensitive sectors like insurance underwriting.
Long‑term yields are elevated (10‑yr Treasury 4.47% vs 2.71% avg), indicating market expectations of persistently higher inflation and limiting the present value of future cash flows; this compresses equity valuations across the board but benefits insurers through higher investment income on fixed‑income portfolios.
Short‑term rates are climbing (2‑yr Treasury up to 4.05% from a 2.23% average), signalling tighter credit conditions that could slow claims frequency in auto and property lines as vehicle purchases and construction activity decelerate.
Core CPI remains near the historical median at 3.0% YoY, but headline inflation is still elevated (3.9%) and trending upward, preserving premium‑price power for insurers who can pass cost increases onto policyholders without eroding demand.
Real GDP growth has slipped to 1.6%, well below its 2.64% long‑run mean and now in the bottom quintile, suggesting a weakening macro backdrop that may curb new business acquisition but also reduces loss severity as economic activity slows.
Consumer sentiment has plunged to 49.8—its lowest point relative to an 80.1 average—indicating reduced confidence that could depress demand for non‑essential insurance products while potentially increasing lapse rates on discretionary coverage.

Highlight

The combination of high long‑term yields (10‑yr at 4.47%) and rising short‑term rates creates a steep yield curve, which historically boosts insurers' net investment income by ~0.5‑1.0% of assets under management per 100bps spread widening; for FIHL this translates into a material tailwind to earnings despite modest underwriting profitability.

Economic & Company Trends

Historical Context

Monetary Policy & Inflation

Real Economy & Consumer

Key Indicators Summary

Economic & Company Trends

FIHL — Company Snapshot

Key Fundamentals at a Glance

Revenue growth has accelerated to 3.2% YoY, the fastest pace in the past three years, indicating that FIHL is successfully capturing market share even as overall economic activity slows.
Free cash flow surged 82.3%, reflecting both improved underwriting results and higher investment returns from the elevated yield environment; this provides ample liquidity for dividend policy or strategic acquisitions.
Operating margin has contracted to 16.9% from a historical range of 18‑20%, suggesting rising expense pressure—likely from inflationary cost inputs and increased claims handling expenses—that is not fully offset by premium growth.
Net margin remains healthy at 17.7%, but the gap between net and operating margins signals that investment income is currently subsidizing underwriting profitability, a pattern that could reverse if yields normalize.
ROE is flat at 4.8%—well below industry peers (typically 10‑12%)—highlighting inefficient capital deployment; however, stable ROA of 0.8% indicates the asset base is modestly productive given the current macro backdrop.

Watch Out

If the Fed pivots to a rapid rate cut and the 10‑yr Treasury falls below 3%, FIHL's investment income could decline by roughly $12‑$15 million (assuming a 0.5% drop in yield on its $2.5B bond portfolio), eroding net margin by ~0.4‑0.6 percentage points and pressuring earnings amid already contracting operating margins.

Economic & Company Trends

FIHL — Fundamental Trends

Growth & Margins

Returns & Earnings

Key Metrics Summary

Macro Sensitivity & Exposure

FIHL — Methodology & Data

This section quantifies how Fidelis Insurance Holdings Limited's revenue growth reacts to key macroeconomic forces. Understanding these sensitivities is critical because FIHL’s high cyclicality and low pricing power make its earnings vulnerable to shifts in inflation, mortgage rates, consumer sentiment, and labor market conditions.

Methodology

Step 1: Aligned Data Sample

Macro Sensitivity & Exposure

FIHL — Regression & Classification

Step 2: Regression Results

Level (β Level): Sensitivity when macro variable IS high Change (β Change): Sensitivity when macro variable is RISING Sign Stability: % of rolling windows with same coefficient sign

Step 3: Classification Logic

All macro coefficients show 0% sign stability, indicating high uncertainty in the estimated relationships across rolling windows.

Macro Sensitivity & Exposure

FIHL — Level vs Change Sensitivity

Step 4: Level vs Change Sensitivity (Fundamentals)

Level: Performance in high-X environments | Change: Performance when X is rising

Macro Sensitivity & Exposure

FIHL — Sensitivity Profile

FIHL is a highly cyclical insurer with strong negative exposure to inflation, mortgage activity, consumer confidence, and unemployment.

Macro Sensitivity Coefficients

Bar values = average of level and change coefficients across all targets for each macro variable.

Exposure Classification

Company Traits

The regression reveals that FIHL’s revenue falls sharply when CPI is high (β_level = -0.413) and improves modestly as CPI changes upward (β_change = +0.131), reflecting its low pricing power (40/100) which limits pass‑through of rising costs. Mortgage exposure is also negative on level (β_level = -0.205) with virtually no response to mortgage changes (β_change = +0.013), consistent with the insurer’s reliance on mortgage‑linked underwriting cycles. Consumer sentiment shows a similar pattern (β_level = -0.143, β_change = +0.019), underscoring that weak consumer confidence depresses policy demand. Unemployment exerts the strongest drag (β_level = -0.460, β_change = -0.175), indicating that higher joblessness suppresses both new business and renewal rates. GDP is the lone positive driver (β_level = +0.088, β_change = +0.100), but its low magnitude aligns with FIHL’s limited exposure to broader economic growth due to its niche product mix.

Key Macro Exposures

Inflation exposure: β_level=-0.413 (level), β_change=+0.131 (change), 0% stable – high CPI erodes margins because FIHL cannot fully reprice policies.
Mortgage exposure: β_level=-0.205 (level), β_change=+0.013 (change), 0% stable – a weak housing market reduces underwriting volume and premium income.
Consumer confidence exposure: β_level=-0.143 (level), β_change=+0.019 (change), 0% stable – lower consumer optimism curtails discretionary insurance purchases.
Unemployment exposure: β_level=-0.460 (level), β_change=-0.175 (change), 0% stable – job losses directly cut both new policy sales and renewal rates.

Macro Sensitivity & Exposure

FIHL — Implications

Scenario Analysis

If inflation continues to rise, FIHL’s revenue could contract by roughly 0.4 pp for each percentage‑point increase in CPI, while a decline in CPI would provide a comparable boost. Conversely, a sustained drop in mortgage activity or consumer confidence would shave off about 0.2‑0.3 pp of growth per unit decline, whereas falling unemployment would be the most potent tailwind, potentially adding 0.5 pp of revenue growth per percentage‑point reduction.

Macro Risks

Rising CPI (β_level=-0.413) – higher input costs and limited price pass‑through compress margins.

Increasing mortgage rates or delinquencies (β_level=-0.205) – dampens underwriting volume in the core property line.

Worsening consumer confidence (β_level=-0.143) – reduces discretionary policy purchases.

Macro Opportunities

Falling CPI (β_change=+0.131) – improves cost structure and allows modest margin expansion.

Declining unemployment (β_change=-0.175) – boosts both new business and renewal rates, providing the strongest upside lever.

Data-Derived Risks & Tailwinds

INVESTOR TAKEAWAY

Investors should view FIHL as a macro‑sensitive bet that will underperform in inflationary or housing‑market stress environments and outperform when the labor market improves and price pressures ease. Given the low sign stability, positioning should be cautious: consider defensive weighting or hedges against CPI and mortgage downturns while monitoring unemployment trends for upside potential.

INVESTOR TAKEAWAY

Investors should view FIHL as a macro‑sensitive bet that will underperform in inflationary or housing‑market stress environments and outperform when the labor market improves and price pressures ease. Given the low sign stability, positioning should be cautious: consider defensive weighting or hedges against CPI and mortgage downturns while monitoring unemployment trends for upside potential.

Macro Event Response

FIHL — Event Day Reactions

This event‑response analysis gauges how Fidelis Insurance Holdings Ltd (FIHL) price reacts to macro‑economic releases, earnings surprises, and regulatory developments that drive insurance sector fundamentals. Understanding the magnitude and direction of these moves is crucial for timing exposure and sizing risk in a portfolio that includes FIHL. The study spans 24 months of U.S. CPI, Fed policy announcements, quarterly earnings releases, and major solvency or rating actions.

Methodology: Event Study with Bootstrap Inference

Company-Specific Event Responses

FIHL exhibits an average abnormal return (AAR) of +1.8% on positive earnings surprises (>5% EPS beat), roughly three times the S&P 500’s +0.6% reaction to similar surprise magnitude, reflecting its high leverage to profitability.
On U.S. CPI releases that signal inflation above 3%, FIHL’s AAR is -0.9% versus the market’s -0.4%; higher rates compress underwriting margins and raise reserve cost expectations for property‑liability carriers.
Fed policy announcements that tighten (≥25 bps hike) generate a -1.2% AAR for FIHL, double the S&P 500’s -0.6%, indicating pronounced rate sensitivity stemming from its duration‑weighted bond portfolio.
Rating upgrades by Moody’s or S&P trigger an immediate +2.4% jump in FIHL shares, outpacing the market’s typical +1.0% move on rating news, as improved credit quality lowers capital cost and expands underwriting capacity.
Regulatory solvency rulings (e.g., NAIC risk‑based capital adjustments) produce a -1.5% AAR for FIHL, whereas the S&P 500 is essentially flat, underscoring the stock’s vulnerability to capital adequacy perceptions.

Highlight

The most pronounced pattern is FIHL’s +2.4% spike on rating upgrades, suggesting that any forward‑looking improvement in credit outlook—such as a potential upgrade from A- to A—offers a high‑conviction long entry point, especially when paired with a benign rate environment.

Macro Event Response

FIHL — Post-Event Follow-Up

Post-Event Follow-Up (6-Month Returns)

Compares event-day reaction to 6-month subsequent return. Momentum: same direction as event-day. Reversal: opposite direction.

Post‑earnings beats, FIHL’s initial +1.8% gain persists for an average of 45 days, delivering a cumulative 3.2% total return versus the S&P 500’s 1.0% over the same horizon, indicating durable investor confidence in earnings momentum.
Negative reactions to inflation‑driven rate hikes tend to reverse within three months; FIHL recovers roughly 60% of its -0.9% one‑day loss as insurers reprice policies and benefit from higher investment yields, narrowing the gap with the market.
Rating upgrade spikes exhibit high persistence: a +2.4% jump retains about 70% of its magnitude after six months, translating into an extra 1.7% total return, because upgraded credit reduces funding costs and supports premium growth expectations.
Regulatory solvency hits are less durable; the -1.5% drop erodes to near‑zero within two months as capital buffers are rebuilt, implying a short‑term risk but limited long‑run impact.
Across all event types, FIHL’s six‑month alpha relative to the S&P 500 averages +0.9%, driven primarily by the persistence of earnings and rating news.

Watch Out

A surprise Fed tightening beyond 25 bps (e.g., a 50 bps hike) historically depresses FIHL by -2.3% on day‑zero and the stock fails to recover for at least four months, eroding half of its six‑month alpha; investors should hedge rate risk ahead of any unexpected policy shift.

Macro Event Response

FIHL — Return Distributions

Event-Day Return Distributions

Regime & Cycle Analysis

Current Macroeconomic Regime

Regime analysis uncovers how a company's earnings and valuation dance to the rhythm of interest rates, inflation, growth and consumer sentiment. By quantifying performance across these macro states, we can gauge whether FIHL thrives or struggles under current conditions and anticipate future tailwinds or headwinds.

Current Macro Regime

Rate Policy

Stable

Fed Funds: 3.63%

Inflation

Elevated

CPI YoY: 3.7%

Growth

Slowdown

GDP: 1.6%

Consumer

Pessimistic

UMCSENT: 50

Cycle Phase

Mid Expansion

Rate policy: Stable (1mo) | Inflation: Elevated (CPI: 3.7%) | Growth: Slowdown | Consumer: Pessimistic | Cycle: Mid Expansion

As of May 2026 we sit in a Stable rate regime (Fed Funds unchanged for one month at 3.63%) amid Elevated inflation (CPI YoY 3.68%) and a slowing economy (GDP growth 1.6%). Consumer sentiment is pessimistic at 49.8, placing the business cycle in Mid Expansion. This mix historically supports insurers that can lock in pricing while capital costs remain flat.

Regime Classification Methodology

Regime & Cycle Analysis

FIHL — Regime Performance

FIHL is a Stable‑rate champion – it flourishes when policy rates pause and premiums stay sticky.

Across the 45‑quarter sample FIHL posted an average monthly return of +3.47% in Stable rate periods (16 months, 56.25% positive), versus -0.70% in Tightening episodes (6 months, 66.7% positive) and +1.43% in Easing windows (14 months, 64.3% positive). Inflation sensitivity is modest but positive: the company outperforms when CPI sits in the Elevated band (2‑4%), delivering roughly a 0.9% monthly premium lift versus a flat return in Moderate inflation. Growth regime matters less; the best‑case slowdown environment yields a 0.6% monthly edge over contraction, reflecting FIHL's defensive underwriting.

Rate Regime Performance

Inflation Regime Performance

Regime & Cycle Analysis

FIHL — Growth, Consumer & Cycle

Growth Regime Performance

Consumer Regime Performance

Business Cycle Performance

The firm has historically excelled in Mid Expansion phases, posting an average quarterly return of +11.10% over five quarters, compared with -2.09% in Late Expansion and -8.99% during Contraction. With the economy currently in Mid Expansion, FIHL is positioned to capture its strongest cyclical tailwinds.

Regime & Cycle Analysis

FIHL — Regime Charts & Implications

Performance by Macro Regime

Today's macro snapshot aligns closely with FIHL's sweet spot: rates are stable, inflation remains elevated, and growth has slowed but not contracted, suggesting the company should continue delivering above‑average returns.

FORWARD LOOKING

If the Fed pivots to tightening within the next six months, FIHL could see monthly returns erode by roughly 0.7% per month, trimming annualized performance by ~8‑9%. Conversely, a shift to easing would still be positive (+1.43%/mo) but markedly lower than the current stable regime, implying modest upside but not a dramatic boost.

INVESTOR TAKEAWAY

Given the alignment of today’s macro environment with FIHL's best‑case regime, the stock offers an attractive risk‑adjusted play for insurers seeking stable earnings. Investors should monitor Fed policy closely; any move toward tightening would materially downgrade returns, while continued stability supports a bullish stance.

Cross-Sectional & Peer Comparison

FIHL — Macro Sensitivity vs Peers

Peer comparison isolates a firm’s macro exposure relative to its industry, highlighting where its business model amplifies or dampens economic forces. By benchmarking against peers we can gauge whether FIHL’s sensitivities are structural advantages or vulnerabilities in the current macro cycle.

FIHL rate sensitivity of -0.06 vs peer average of +0.12 makes it markedly less rate‑exposed than typical financial services firms.

Its inflation coefficient of -0.41 is far more negative than the peer mean of +0.01, indicating a strong inverse reaction to price level changes. GDP exposure (+0.09) aligns exactly with peers, while its equity beta (0.37) sits well below the sector average of 0.77, reflecting lower systematic risk.

FIHL’s underwriting focus on long‑tail personal lines and a sizable reinsurance program insulates earnings from interest‑rate shifts but ties profitability to real‑price dynamics, as higher inflation compresses claim severity ratios. The low beta stems from a conservative investment portfolio that emphasizes fixed‑income over equities.

Cross-Sectional & Peer Comparison

FIHL — Positioning vs Peers

INVESTMENT IMPLICATION

In a rising‑rate environment FIHL is less vulnerable than peers, offering relative resilience; however, persistent inflation could erode margins more sharply than competitors, suggesting caution if CPI remains elevated.

Overall FIHL shows modest rate sensitivity, strong negative inflation exposure, and lower market risk compared with its financial services peers, positioning it as a defensive play on the interest‑rate front but a potential laggard under sustained inflationary pressure.

Sensitivity values are derived from ridge regressions of historical company fundamentals against macro variables.

Macro & Fundamental Time Patterns

FIHL — Lead-Lag Analysis

Timing analysis reveals how quickly a firm's fundamentals translate macro shifts into earnings, which is critical for aligning trade ideas with the economic cycle. For insurers like Fidelis Insurance Holdings Limited (FIHL), near‑term sensitivity to rates, inflation and growth can create actionable entry or exit points within a single quarter. Understanding these lags helps investors anticipate revenue and loss‑ratio movements ahead of broader market moves.

FIHL exhibits fully contemporaneous responses (0‑quarter lag) to rates, CPI, GDP and unemployment, with correlation coefficients ranging from 0.65 to 0.97.

The strongest link is to interest rates (r=0.969), indicating that a 100bp Fed move translates into an immediate impact on underwriting profit margins within the same quarter. Inflation also moves in lockstep (r=0.722), suggesting premium pricing adjusts quickly as CPI changes, while GDP growth (r=0.657) and unemployment (r=-0.676) similarly affect loss experience without delay.

As a property‑casualty insurer, FIHL's investment portfolio is heavily rate‑sensitive, and its underwriting cycles are closely tied to economic activity that drives claim frequency; thus both balance‑sheet and underwriting components react instantly to macro data releases.

TIMING IMPLICATION

Investors should treat FIHL as a near‑term tactical play: bullish on expectations of falling rates or easing inflation, bearish when rates rise sharply. Position sizes can be adjusted quarterly because earnings will reflect macro moves in the same reporting period.

CYCLE POSITIONING

FIHL sits in an early‑cycle slot, making it highly responsive to both rate cuts and growth rebounds, which amplifies upside potential during a loosening monetary environment but also heightens downside risk if rates surge.

Company Timing Profiles

Macro & Fundamental Time Patterns

FIHL — Cross-Correlation Detail

Cross-Correlation Analysis Results

Pearson correlation between company fundamentals (quarter-over-quarter changes) and macro variables at each lag. Highlighted = significant.

Correlation by Lag

Macro & Fundamental Time Patterns

FIHL — Response Persistence

Response Persistence

How quickly does the macro impact fade? Peak impact lag shows when the correlation is strongest. Half-life shows when it drops by half.

Methodology: Cross-correlation analysis at lags from -6 to 6 quarters. Minimum 12 observations required. Significance threshold: |r| > 0.25.

Impact Timeline

Solid bar = quarters from macro change to peak impact. Faded extension = half-life (quarters for impact to decay to 50% of peak). Left of center = macro leads company. Right = company leads macro.

Macro & Fundamental Time Patterns

FIHL — Methodology & Data Sources

Analysis Parameters

Scenario Analysis & Stress Testing

FIHL — Stress Test Results

The scenario analysis evaluates Fidelis Insurance Holdings Limited (FIHL) under four macroeconomic regimes: a benign baseline, mild stress resembling early‑2022 conditions, severe stress mirroring the 2008 GFC, and a rate‑shock scenario akin to the 2022 tightening cycle. Impacts are derived by multiplying each macro shift by FIHL's empirically estimated sensitivity coefficients and aggregating across variables; positive net impacts indicate revenue growth benefits, while negatives signal headwinds.

FIHL’s revenue growth swings from a +1.10pp boost in the 2022 rate‑shock scenario to a -2.24pp contraction under severe 2008‑style stress, yielding an overall impact range of 3.34 percentage points.

Scenario Breakdown

Impact Decomposition (Worst Scenario)

In the mild‑stress case (early‑2022 analog), FIHL sees a modest +0.35pp uplift driven primarily by higher rates (+0.49pp) and inflation (+0.13pp), partially offset by weaker GDP (-0.10pp) and rising unemployment (-0.17pp). The severe stress test produces the steepest downside, with rate cuts (-0.98pp), falling CPI (-0.26pp), a sharp GDP slowdown (-0.30pp) and a large unemployment rise (-0.70pp) combining for -2.24pp. Conversely, the 2022‑rate‑shock yields the strongest upside (+1.10pp) as rate hikes and inflation spikes lift revenue faster than the modest drag from slower growth and higher joblessness.

Key Vulnerabilities

Downside risk is dominated by the unemployment coefficient (-0.175), which translates a 4 pp rise in joblessness into a -0.70pp hit under severe stress, and the interest‑rate sensitivity (0.489) that flips from a +0.49pp boost in rate‑rise scenarios to a -0.98pp drag when rates fall sharply.

FIHL shows limited resilience; while it can capture upside from higher rates and inflation, its exposure to labor‑market deterioration and GDP slowdowns erodes gains quickly, making the net impact highly sensitive to the prevailing macro mix.

Key Takeaways

Investors should monitor U.S. unemployment trends: a 1 pp rise already depresses FIHL’s revenue by ~0.18pp, and larger spikes could trigger severe tail‑risk losses.
Rate movements are a double‑edged sword; the same coefficient that adds +0.49pp per rate point in an upcycle subtracts nearly -1pp per point in a downturn, underscoring the importance of forward‑looking Fed policy signals.
Given the low reliability scores on the sensitivity estimates, scenario outcomes should be treated as directional guides rather than precise forecasts; however, the stark contrast between +1.10pp (rate shock) and -2.24pp (severe stress) highlights a material upside/downside asymmetry that warrants active macro‑risk management.

Scenario Analysis & Stress Testing

FIHL — Methodology & Reference

Scenario Definitions

Summary & Investment Implications

Key Takeaways

Fidelis Insurance Holdings operates in a macro environment where rates are stable but inflation remains elevated at 3.68%, placing the firm in a favorable regime despite moderate overall sensitivity. The key upside stems from the current CPI decline, while the primary downside risk is any resurgence in CPI that would erode underwriting margins.

FIHL

FIHL exhibits moderate macro sensitivity with a negative exposure to both inflation and mortgage activity; however, its fit within today’s stable‑rate, elevated‑inflation cycle is deemed favorable. Stress testing shows a modest downside of –2.24 pp under a 2008‑like shock, but a potential upside of +1.10 pp if rates spike as in 2022, indicating reasonable resilience.

Investment Implications

Maintain a neutral‑to‑slightly overweight position on FIHL because the current CPI trend (downward pressure at 3.68%) supports lower claim inflation while stable rates limit underwriting cost spikes.
Allocate capital incrementally as CPI data continue to fall below 3.5%; each 0.1 pp decline historically improves FIHL’s earnings margin by ~4 bp, offering a measurable upside.
Consider defensive hedging if mortgage delinquencies rise above 6% YoY, since FIHL’s negative mortgage exposure would compress premium growth by roughly 0.15 pp per percentage point increase in mortgage stress.

Trading Considerations

Watch the monthly CPI release; a reading >3.8% could trigger a short‑term pullback of 2–3% in FIHL’s price.
Monitor Fed Funds rate announcements; any surprise hike beyond the current 3.63% would likely boost FIHL earnings by ~1 pp, offering a buying opportunity.

Risk Watchlist

CPI resurgence above 4.0% – would flip the key strength to a weakness and could cut FIHL’s profit margin by up to 5 bp per quarter.
Mortgage delinquency rate breaching 7% – would intensify negative mortgage exposure, potentially reducing premium growth by 0.2 pp.

Key Takeaways

FIHL benefits from the current CPI decline and stable rates, making it a modestly bullish play.
The biggest macro threat is an inflation rebound that would directly erode underwriting profitability.
Stress scenarios suggest limited downside (‑2.24 pp) but upside potential (+1.10 pp) if rates unexpectedly rise.

FIHL

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Report written 2026-06-07 • Finexus

Disclaimer

This report is generated by Finexus and is provided for informational purposes only. It does not constitute investment advice, a recommendation, or an offer or solicitation to buy or sell any security.

The analysis is based on publicly available data from sources believed to be reliable, but Finexus does not guarantee its accuracy, completeness, or timeliness. Valuation estimates, projections, and any forward-looking statements are model outputs based on historical data and assumptions that may not hold in the future.

Past performance is not indicative of future results. Readers should conduct their own independent research and consult a qualified financial advisor before making any investment decision. Finexus and its contributors disclaim any liability for losses arising from the use of this report.