Aspen Insurance Holdings Limited (AHL-PE.US)

10-Year Study

AHL-PE.US · Financial Services · Preferred Stock

About Aspen Insurance Holdings Limited (AHL-PE.US)

Financial Services

Aspen Insurance Holdings Limited, together with its subsidiaries, engages in the insurance and reinsurance businesses in Australia, Asia, the United Kingdom, Ireland, rest of Europe, the United States, Canada, and internationally. It offers various reinsurance and retrocession products, including property catastrophe reinsurance, other property reinsurance, casualty reinsurance, and specialty reinsurance; and various insurance products, such as first party insurance, specialty insurance, casualty insurance, financial and professional lines insurance, and other insurance....

Source: EODHD Financial Datasets
Fundamentals updated: Feb 24, 2026

Fundamental Snapshot

Aspen Insurance Holdings Limited (AHL-PE.US) operates in the Financial Services market. Detailed fundamentals are summarized below as reported in trailing financial disclosures.

Executive Summary: Aspen Insurance Holdings Limited has compounded at -0.3% annually over the last 10 years, with a maximum drawdown of 31.6% and an annualized volatility of 30.4%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-17.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-0.4%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-3.1%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-0.3%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2019-08-01$10,000
2019-09-01$9,986
2019-10-01$10,208
2019-11-01$9,990
2019-12-01$10,419
2020-01-01$10,395
2020-02-01$9,847
2020-03-01$8,007
2020-04-01$9,520
2020-05-01$9,868
2020-06-01$8,939
2020-07-01$10,297
2020-08-01$9,838
2020-09-01$10,232
2020-10-01$10,327
2020-11-01$10,694
2020-12-01$10,972
2021-01-01$10,813
2021-02-01$10,738
2021-03-01$11,098
2021-04-01$11,013
2021-05-01$10,983
2021-06-01$11,535
2021-07-01$11,561
2021-08-01$11,535
2021-09-01$11,419
2021-10-01$11,506
2021-11-01$11,301
2021-12-01$11,374
2022-01-01$11,105
2022-02-01$10,330
2022-03-01$11,074
2022-04-01$10,354
2022-05-01$10,774
2022-06-01$10,023
2022-07-01$10,564
2022-08-01$9,619
2022-09-01$9,272
2022-10-01$8,778
2022-11-01$9,207
2022-12-01$8,477
2023-01-01$10,383
2023-02-01$9,898
2023-03-01$9,147
2023-04-01$9,838
2023-05-01$8,778
2023-06-01$8,699
2023-07-01$8,948
2023-08-01$8,894
2023-09-01$9,053
2023-10-01$7,902
2023-11-01$9,706
2023-12-01$9,912
2024-01-01$10,592
2024-02-01$10,739
2024-03-01$10,553
2024-04-01$9,939
2024-05-01$10,171
2024-06-01$10,233
2024-07-01$10,411
2024-08-01$10,731
2024-09-01$11,107
2024-10-01$11,171
2024-11-01$11,513
2024-12-01$10,479
2025-01-01$10,815
2025-02-01$10,913
2025-03-01$10,879
2025-04-01$10,233
2025-05-01$10,813
2025-06-01$11,281
2025-07-01$11,444
2025-08-01$12,265
2025-09-01$12,247
2025-10-01$12,081
2025-11-01$11,687
2025-12-01$11,562
2026-01-01$11,509
2026-02-01$12,172
2026-03-01$12,114
2026-04-01$12,457
2026-05-01$11,754
2026-06-01$10,742
2026-07-01$10,992
2026-08-01$10,811
2026-09-01$10,323
2026-10-01$9,788
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
31.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.10
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.16
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
22.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +16.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -25.5%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
71%

Annual Returns

View full annual returns data
YearReturn
20205.3%
20213.7%
2022-25.5%
202316.9%
20245.7%
202510.3%
2026-15.3%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.55.8-0.52.8-5.6-8.62.3-1.6-4.5-5.2——-15.3%
20253.20.9-0.3-5.95.74.31.47.2-0.1-1.4-3.3-1.110.3%
20246.91.4-1.7-5.82.30.61.73.13.50.63.1-9.05.7%
202322.5-4.7-7.67.6-10.8-0.92.9-0.61.8-12.722.82.116.9%
2022-2.4-7.07.2-6.54.1-7.05.4-9.0-3.6-5.34.9-7.9-25.5%
2021-1.4-0.73.4-0.8-0.35.00.2-0.2-1.00.8-1.80.63.7%
2020-0.2-5.3-18.718.93.7-9.415.2-4.54.00.93.62.65.3%
2019————————-0.12.2-2.14.34.2%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
30.4%
View full factor risk breakdown
FactorRisk Exposure
VTI.US36.1%
VEA.US3.4%
VWO.US-0.9%
QQQ.US-10.3%
VTV.US-6.4%
IJR.US3.1%
QUAL.US-3.6%
SHV.US1.9%
TLT.US-0.7%
LQD.US36.6%
HYG.US-1.2%
GLD.US-0.2%
USO.US0.3%
VNQ.US7.8%
BTC-USD.CC0.1%
CPER.US0.6%
VIX.INDX0.1%
UUP.US-1.0%
TIP.US15.1%
Idiosyncratic19.2%

Aspen Insurance Holdings Limited Business Fundamentals

Company financial statements are not available for AHL-PE.US from our data provider. Return, risk, and factor analysis above are computed independently from daily price history.

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$613
Avg Yield on Cost
6.13%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$613.386.13%—

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-5.2%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-13.1%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
21.4% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
-0.58
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Death Cross
Bearish — 50 SMA below 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
36
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-14.2%
50.0% retracement-11.7%
61.8% retracement-9.1%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

AHL-PE.US — 10-Year Return & Risk Profile

Aspen Insurance Holdings Limited (AHL-PE.US) has delivered negative annualized growth of 0.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $9,705, representing a total return of 3%. Over this period, AHL-PE.US generated positive annual returns in 7 out of 10 calendar years (71%).

The best single calendar year for AHL-PE.US was 2023, with a return of +16.9%. The worst year was 2022, when the asset declined 25.5%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of -0.10 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

AHL-PE.US — Drawdown, Volatility & Downside Risk

AHL-PE.US's annualized volatility of 22.8% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in AHL-PE.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 31.6% — a significant bear-market drawdown. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 32% drawdown, for example, requires a 46% gain just to break even.

When evaluating AHL-PE.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

AHL-PE.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 36.6% of AHL-PE.US's return variance to Investment-Grade Corporate Credit. This means that when Investment-Grade Corporate Credit rises or falls sharply, AHL-PE.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their AHL-PE.US allocation.

The second-largest macro driver is US Equity (broad market), contributing 36.1% of variance. 19.2% of AHL-PE.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding AHL-PE.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AHL-PE.US alongside assets with low correlation to Investment-Grade Corporate Credit — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Aspen Insurance Holdings Limited a high-risk investment?

Aspen Insurance Holdings Limited (AHL-PE.US) has an annualized volatility of 30.4% and experienced a maximum drawdown of 31.6% over the last 10 years. Its primary macro risk driver is LQD.US.

What is the 10-year return of AHL-PE.US?

Over the past 10 years, AHL-PE.US has generated a Compound Annual Growth Rate (CAGR) of -0.3%. A $10,000 investment would have grown to approximately $9,705. It has had a positive return in 71% of calendar years.

What is AHL-PE.US's Sharpe ratio?

AHL-PE.US has a Sharpe ratio of -0.10 and a Sortino ratio of -0.16 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is AHL-PE.US's dividend yield?

AHL-PE.US does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

Is AHL-PE.US above its 200-day moving average?

AHL-PE.US is currently below its 200-day moving average by 13.1%. The current trend signal is: Bearish — 50 SMA below 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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