Global X Aging Population ETF (AGNG.US)

10-Year Study

AGNG.US · US · ETF

Fundamental Snapshot

Global X Aging Population ETF (AGNG.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: Global X Aging Population ETF has compounded at 9.3% annually over the last 10 years, with a maximum drawdown of 23.4% and an annualized volatility of 15.3%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.7%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+4.4%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+9.3%

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
2016-06-01$10,000
2016-07-01$10,000
2016-08-01$10,785
2016-09-01$10,913
2016-10-01$9,747
2016-11-01$9,906
2016-12-01$10,056
2017-01-01$10,278
2017-02-01$10,926
2017-03-01$11,111
2017-04-01$11,560
2017-05-01$11,721
2017-06-01$12,403
2017-07-01$12,336
2017-08-01$12,646
2017-09-01$12,718
2017-10-01$12,743
2017-11-01$12,823
2017-12-01$12,889
2018-01-01$13,771
2018-02-01$13,401
2018-03-01$12,982
2018-04-01$12,936
2018-05-01$13,500
2018-06-01$13,781
2018-07-01$14,142
2018-08-01$14,761
2018-09-01$14,963
2018-10-01$13,062
2018-11-01$13,585
2018-12-01$12,702
2019-01-01$13,912
2019-02-01$14,394
2019-03-01$14,373
2019-04-01$13,843
2019-05-01$13,556
2019-06-01$14,277
2019-07-01$14,475
2019-08-01$14,357
2019-09-01$14,269
2019-10-01$15,108
2019-11-01$15,927
2019-12-01$15,909
2020-01-01$15,812
2020-02-01$15,146
2020-03-01$13,579
2020-04-01$15,301
2020-05-01$16,378
2020-06-01$16,543
2020-07-01$17,095
2020-08-01$17,380
2020-09-01$17,386
2020-10-01$16,568
2020-11-01$18,161
2020-12-01$18,925
2021-01-01$19,116
2021-02-01$18,851
2021-03-01$18,810
2021-04-01$19,640
2021-05-01$19,786
2021-06-01$20,719
2021-07-01$20,717
2021-08-01$21,022
2021-09-01$19,842
2021-10-01$20,195
2021-11-01$18,654
2021-12-01$19,666
2022-01-01$18,207
2022-02-01$18,459
2022-03-01$19,565
2022-04-01$18,200
2022-05-01$17,886
2022-06-01$17,341
2022-07-01$17,999
2022-08-01$16,803
2022-09-01$16,104
2022-10-01$17,069
2022-11-01$18,229
2022-12-01$17,972
2023-01-01$18,459
2023-02-01$17,963
2023-03-01$18,380
2023-04-01$19,342
2023-05-01$18,611
2023-06-01$19,181
2023-07-01$19,244
2023-08-01$18,801
2023-09-01$17,947
2023-10-01$17,194
2023-11-01$18,511
2023-12-01$19,706
2024-01-01$19,588
2024-02-01$20,434
2024-03-01$20,863
2024-04-01$19,893
2024-05-01$20,586
2024-06-01$20,914
2024-07-01$21,623
2024-08-01$23,063
2024-09-01$22,828
2024-10-01$22,256
2024-11-01$22,217
2024-12-01$21,092
2025-01-01$22,077
2025-02-01$22,552
2025-03-01$21,867
2025-04-01$21,979
2025-05-01$21,902
2025-06-01$22,393
2025-07-01$22,373
2025-08-01$23,327
2025-09-01$23,485
2025-10-01$23,741
2025-11-01$25,848
2025-12-01$25,311
2026-01-01$26,040
2026-02-01$27,041
2026-03-01$25,102
2026-04-01$24,849
2026-05-01$24,751
2026-06-01$25,395
2026-07-01$26,016
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
23.4%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.44
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.62
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
15.2%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2017 · +28.2%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -8.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
80%

Annual Returns

View full annual returns data
YearReturn
201728.2%
2018-1.4%
201925.2%
202019.0%
20213.9%
2022-8.6%
20239.6%
20247.0%
202520.0%
20262.8%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.93.8-7.2-1.0-0.42.62.42.8%
20254.72.2-3.00.5-0.32.2-0.14.30.71.18.9-2.120.0%
2024-0.64.32.1-4.63.51.63.46.7-1.0-2.5-0.2-5.17.0%
20232.7-2.72.35.2-3.83.10.3-2.3-4.5-4.27.76.59.6%
2022-7.41.46.0-7.0-1.7-3.03.8-6.6-4.26.06.8-1.4-8.6%
20211.0-1.4-0.24.40.74.7-0.01.5-5.61.8-7.65.43.9%
2020-0.6-4.2-10.312.77.01.03.31.70.0-4.79.64.219.0%
20199.53.5-0.1-3.7-2.15.31.4-0.8-0.65.95.4-0.125.2%
20186.8-2.7-3.1-0.44.42.12.64.41.4-12.74.0-6.5-1.4%
20172.26.31.74.01.45.8-0.52.50.60.20.60.528.2%
20160.07.91.2-10.71.61.50.6%

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
15.3%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-3.8%
VEA.US54.9%
VWO.US-7.3%
QQQ.US-15.7%
VTV.US-8.6%
IJR.US-6.2%
QUAL.US32.6%
SHV.US0.4%
TLT.US5.3%
LQD.US-5.1%
HYG.US12.6%
GLD.US2.9%
USO.US0.1%
VNQ.US21.5%
BTC-USD.CC-0.5%
CPER.US-2.1%
VIX.INDX7.3%
UUP.US-1.2%
TIP.US-0.6%
Idiosyncratic13.5%

Global X Aging Population ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Distribution Yield
0.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio18.91x
Portfolio Forward P/E18.91x
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

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
$110
Avg Yield on Cost
1.10%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$1101.10%Weak

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 →
+3.6%
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 →
+3.1%
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 →
4.0% 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 →
0.62
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 →
49
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+2.9%
50.0% retracement+5.2%
61.8% retracement+7.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

AGNG.US — 10-Year Return & Risk Profile

Global X Aging Population ETF (AGNG.US) has delivered solid annualized growth of 9.3% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $24,308, representing a total return of 143%. Over this period, AGNG.US generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for AGNG.US was 2017, with a return of +28.2%. The worst year was 2022, when the asset declined 8.6%. 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 0.44 is considered weak 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.

AGNG.US — Drawdown, Volatility & Downside Risk

AGNG.US's annualized volatility of 15.2% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in AGNG.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 23.4% — 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 23% drawdown, for example, requires a 31% gain just to break even.

When evaluating AGNG.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.

AGNG.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 54.9% of AGNG.US's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, AGNG.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 AGNG.US allocation.

The second-largest macro driver is US Quality Factor, contributing 32.6% of variance. 13.5% of AGNG.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 AGNG.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding AGNG.US alongside assets with low correlation to Developed Market Equities (ex-US) — 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 Global X Aging Population ETF a high-risk investment?

Global X Aging Population ETF (AGNG.US) has an annualized volatility of 15.3% and experienced a maximum drawdown of 23.4% over the last 10 years. Its primary macro risk driver is VEA.US.

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

Over the past 10 years, AGNG.US has generated a Compound Annual Growth Rate (CAGR) of 9.3%. A $10,000 investment would have grown to approximately $24,308. It has had a positive return in 80% of calendar years.

What is AGNG.US's Sharpe ratio?

AGNG.US has a Sharpe ratio of 0.44 and a Sortino ratio of 0.62 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 AGNG.US's dividend yield?

AGNG.US has an average trailing dividend yield of 0.91%. On a $10,000 initial investment, it generated approximately $110 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is AGNG.US above its 200-day moving average?

AGNG.US is currently above its 200-day moving average by 3.1%. 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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