Aspen Insurance Holdings Limited

10-Year Study

AHL-PF.US · · US · Common Stock

Executive Summary: Aspen Insurance Holdings Limited has compounded at 3.4% annually over the last 10 years, with a maximum drawdown of 7.8% and an annualized volatility of 41.1%.

1Y CAGR
+9.5%
3Y CAGR
+3.4%
5Y CAGR
+3.4%
10Y CAGR
+3.4%

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

Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
7.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.08
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.11
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
8.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +2.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2026 · 0.4%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
100%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-0.41.00.40.0-0.6———————0.4%
2025-0.30.9-2.1-5.94.9-2.54.22.81.0-0.2-0.40.62.7%
2024———————————2.02.0%

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.

Risk Profile Insight: This asset has an estimated annualized volatility of 41.1%. The dominant macroeconomic risk driver is LQD.US, accounting for 42.8% of variance. Idiosyncratic stock-specific factors contribute 1.0%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2024-11-0110000
2024-12-0110204.636047426817
2025-01-0110172.51885139767
2025-02-0110264.850500588182
2025-03-0110052.174575367508
2025-04-019462.259121029781
2025-05-019927.768045294133
2025-06-019684.202063286531
2025-07-0110092.839430945913
2025-08-0110378.847504675823
2025-09-0110480.953952657814
2025-10-0110464.324100168415
2025-11-0110422.770626518055
2025-12-0110481.461734413215
2026-01-0110439.146588129755
2026-02-0110544.934453838408
2026-03-0110583.01808549352
2026-04-0110583.01808549352
2026-05-0110519.54536606833
Annual Return Matrix
YearAnnual Return
20250.027127443418837327
20260.0036334275333063104
Total Factor Risk
0.4109619145043379
VTI.US Exposure
-0.07603430269419843
VEA.US Exposure
0.04174715738998895
VWO.US Exposure
-0.008544694976232394
QQQ.US Exposure
0.24617381466215646
VTV.US Exposure
-0.002291043332302819
IJR.US Exposure
0.03447395518418597
QUAL.US Exposure
0.08035034543976395
SHV.US Exposure
0.002006925627810134
TLT.US Exposure
-0.0501236237550822
LQD.US Exposure
0.42787557748359756
HYG.US Exposure
0.1426817001768985
GLD.US Exposure
0.013478271588050775
USO.US Exposure
0.006547171295710981
VNQ.US Exposure
0.042954843990141156
BTC-USD.CC Exposure
0.0023539828743307924
CPER.US Exposure
-0.0024764587210423902
VIX.INDX Exposure
0.004389514700654694
UUP.US Exposure
0.07956697676628804
TIP.US Exposure
0.00514987892867005
Idiosyncratic Exposure
0.009720007370610458
Value Score
50
Growth Score
50
Profit Score
37.5
Health Score
23.6
Yield Score
0
Moat Score
40

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
41.1%

FundamentalsiCompany financial health metrics: P/E valuation, dividend yield, Piotroski F-Score (9-point profitability signal), Altman Z-Score (bankruptcy risk proxy), and a radar chart across 6 fundamental dimensions. Note: ETFs may show N/A for some metrics.

Fundamental Dimensions

Core Valuation

P/E Ratio (TTM)P/E RatioPrice-to-Earnings ratio — the market price of a stock divided by its earnings per share, a key valuation measure.Click for full definition →N/A
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →No estimate availableN/A
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →0.00%
Squeeze RiskShort Squeeze RiskA situation where a sharp rise in the price of a stock forces short sellers to buy shares to cover their positions, further driving up the price.Click for full definition →Low
Market Cap$0
Piotroski F-ScorePiotroski F-ScoreA 9-point scoring system evaluating a company's financial strength across profitability, leverage, and operating efficiency.Click for full definition →
9-point profitability signal
0.0/ 9
Weak
Altman Z-ScoreAltman Z-ScoreA bankruptcy prediction model that combines 5 financial ratios into a single score indicating financial distress risk.Click for full definition →
Bankruptcy risk proxy
1.18
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

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 →
-0.5%
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 →
+0.6%
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 →
1.4% 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 →
1.00
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 →
✦ Golden Cross
Bullish — 50 SMA above 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 →
45
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+2.2%
50.0% retracement+3.4%
61.8% retracement+4.6%
% distance of current price from each 52-week Fibonacci support level.

Frequently Asked Questions & Methodology

Is Aspen Insurance Holdings Limited a high-risk investment?

Aspen Insurance Holdings Limited (AHL-PF.US) has an annualized volatility of 41.1% and experienced a maximum drawdown of 7.8% over the last 10 years. Its primary macro risk driver is LQD.US.

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

Over the past 10 years, AHL-PF.US has generated a Compound Annual Growth Rate (CAGR) of 3.4%. It has had a positive return in 100% of the years measured.

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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