Aena S.M.E. S.A

10-Year Study

ANYYY.US · Industrials · US · Common Stock

Executive Summary: Aena S.M.E. S.A has compounded at 14.6% annually over the last 10 years, with a maximum drawdown of 41.6% and an annualized volatility of 41.0%.

1Y CAGR
+4.1%
3Y CAGR
+26.2%
5Y CAGR
+15.9%
10Y CAGR
+14.6%

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 →
41.6%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.53
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.91
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
26.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +51.3%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -19.5%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
60%

Annual Returns

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20268.72.5-5.8-10.06.1-2.7-2.4%
20256.51.95.613.95.6-1.31.36.8-4.7-1.10.15.446.6%
2024-3.37.43.6-4.214.23.7-7.05.210.11.2-2.7-5.722.2%
202319.73.45.54.0-4.93.30.4-2.9-3.9-3.819.65.251.3%
20224.80.01.8-14.28.2-16.9-2.0-2.2-15.413.110.6-3.6-19.5%
202110.0-1.0-5.5-3.6-0.48.8-4.5-12.06.6-3.7%

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 41.0%. The dominant macroeconomic risk driver is SHV.US, accounting for 69.7% of variance. Idiosyncratic stock-specific factors contribute 10.2%.

10-Year Historical Price Series (Growth of $10,000)
DateSimulated Value
2021-03-0110000
2021-04-0111002.540120692442
2021-05-0110890.510520210846
2021-06-0110286.461009881508
2021-07-019919.09789008472
2021-08-019881.803632519419
2021-09-0110747.206601377246
2021-10-0110261.500286314182
2021-11-019028.734197659565
2021-12-019627.057424346984
2022-01-0110093.382471698944
2022-02-0110093.382471698944
2022-03-0110273.980648097848
2022-04-018820.091914193843
2022-05-019539.254408504266
2022-06-017926.498010483505
2022-07-017770.86055765193
2022-08-017596.575976037706
2022-09-016425.918040730027
2022-10-017266.507113806217
2022-11-018038.674438750789
2022-12-017749.130045369787
2023-01-019277.754122190085
2023-02-019589.029027853232
2023-03-0110118.343195266272
2023-04-0110523.147400414055
2023-05-0110009.984289426931
2023-06-0110337.410251515998
2023-07-0110382.486381722878
2023-08-0110080.6084543439
2023-09-019682.558327337865
2023-10-019316.516657612287
2023-11-0111140.117755884125
2023-12-0111724.345515145287
2024-01-0111339.069405494296
2024-02-0112180.245789713246
2024-03-0112616.911624355793
2024-04-0112090.387184870868
2024-05-0113811.355660945277
2024-06-0114317.471038219273
2024-07-0113319.776234454608
2024-08-0114014.858971911846
2024-09-0115434.68365953573
2024-10-0115622.770053004831
2024-11-0115201.521135859752
2024-12-0114330.832366717079
2025-01-0115268.180950563084
2025-02-0115556.110238301495
2025-03-0116433.8467411573
2025-04-0118720.54267549591
2025-05-0119770.361343180586
2025-06-0119513.412718222797
2025-07-0119763.019953896077
2025-08-0121113.835582245585
2025-09-0120130.08941812149
2025-10-0119909.847739586243
2025-11-0119939.213296724272
2025-12-0121011.05613226247
2026-01-0122846.40345338952
2026-02-0123419.03181758116
2026-03-0122053.533410662632
2026-04-0119851.116625310173
2026-05-0121069.787246538537
2026-06-0120497.1588823469
Annual Return Matrix
YearAnnual Return
2022-0.1950676407339058
20230.5129886124637626
20240.222314059936632
20250.4661434587051627
2026-0.024458420684835724
Total Factor Risk
0.410416538087153
VTI.US Exposure
-0.051797204692690425
VEA.US Exposure
0.17377450243716797
VWO.US Exposure
0.013026791243436468
QQQ.US Exposure
-0.012582529340605783
VTV.US Exposure
0.008046111829709513
IJR.US Exposure
0.010131255912989157
QUAL.US Exposure
0.049979878327020416
SHV.US Exposure
0.696818501019822
TLT.US Exposure
-0.009640664506858824
LQD.US Exposure
0.011301907494475802
HYG.US Exposure
0.014713738045303001
GLD.US Exposure
-0.009362133196507371
USO.US Exposure
-0.0000015874010676538323
VNQ.US Exposure
0.001593577506438228
BTC-USD.CC Exposure
0.0030275958135032766
CPER.US Exposure
-0.005257152590155054
VIX.INDX Exposure
0.000005858030988894206
UUP.US Exposure
-0.00564219253495967
TIP.US Exposure
0.009729059631722237
Idiosyncratic Exposure
0.10213468697026787
Value Score
27.3
Growth Score
55.9
Profit Score
62.5
Health Score
35.3
Yield Score
53.4
Moat Score
100

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
41.0%

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 →17.1x
Forward P/EForward P/E RatioA valuation metric that compares the current stock price to estimated future earnings per share.Click for full definition →Fairly Valued15.9x
Dividend YieldDividend YieldAnnual dividend paid per share divided by the current share price — expressed as a percentage income return.Click for full definition →4.45%
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$43.1B
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
4.0/ 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
1.76
Distress Zone
Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$944
Avg Yield on Cost
9.44%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$944.19.44%Solid

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 →
-2.8%
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 →
-2.6%
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 →
18.0% 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 →
0.76
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 →
54
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-9.2%
50.0% retracement-6.1%
61.8% retracement-2.8%
% distance of current price from each 52-week Fibonacci support level.

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

Frequently Asked Questions & Methodology

Is Aena S.M.E. S.A a high-risk investment?

Aena S.M.E. S.A (ANYYY.US) has an annualized volatility of 41.0% and experienced a maximum drawdown of 41.6% over the last 10 years. Its primary macro risk driver is SHV.US.

What is the 10-year return of ANYYY.US?

Over the past 10 years, ANYYY.US has generated a Compound Annual Growth Rate (CAGR) of 14.6%. It has had a positive return in 60% 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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