SSgA SPDR MSCI ACWI (ACWE.PA)

10-Year Study

ACWE.PA · FR · ETF

About SSgA SPDR MSCI ACWI (ACWE.PA)

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Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

SSgA SPDR MSCI ACWI (ACWE.PA) charges an annual expense ratio of 12.00%, manages approximately $4.2B in net assets, and maintains a portfolio of 10 holdings. At the portfolio level, its underlying basket trades at 2.69x sales and 3.36x book value.

Executive Summary: SSgA SPDR MSCI ACWI has compounded at 12.0% annually over the last 10 years, with a maximum drawdown of 18.8% and an annualized volatility of 13.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+22.6%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+18.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+11.6%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.0%

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
2016-07-01$10,000
2016-08-01$9,882
2016-09-01$9,935
2016-10-01$10,079
2016-11-01$10,515
2016-12-01$10,797
2017-01-01$10,853
2017-02-01$11,311
2017-03-01$11,342
2017-04-01$11,287
2017-05-01$11,213
2017-06-01$11,022
2017-07-01$10,977
2017-08-01$10,818
2017-09-01$11,181
2017-10-01$11,599
2017-11-01$11,585
2017-12-01$11,724
2018-01-01$11,904
2018-02-01$11,665
2018-03-01$11,109
2018-04-01$11,675
2018-05-01$12,027
2018-06-01$12,001
2018-07-01$12,275
2018-08-01$12,397
2018-09-01$12,525
2018-10-01$11,591
2018-11-01$11,757
2018-12-01$11,103
2019-01-01$11,935
2019-02-01$12,333
2019-03-01$12,635
2019-04-01$13,068
2019-05-01$12,434
2019-06-01$12,917
2019-07-01$13,349
2019-08-01$13,072
2019-09-01$13,503
2019-10-01$13,504
2019-11-01$14,077
2019-12-01$14,237
2020-01-01$14,278
2020-02-01$13,110
2020-03-01$11,598
2020-04-01$12,704
2020-05-01$12,947
2020-06-01$13,279
2020-07-01$13,281
2020-08-01$13,970
2020-09-01$13,849
2020-10-01$13,558
2020-11-01$14,769
2020-12-01$15,094
2021-01-01$15,268
2021-02-01$15,700
2021-03-01$16,582
2021-04-01$16,846
2021-05-01$16,820
2021-06-01$17,585
2021-07-01$17,714
2021-08-01$18,215
2021-09-01$17,865
2021-10-01$18,717
2021-11-01$18,784
2021-12-01$19,442
2022-01-01$18,569
2022-02-01$18,165
2022-03-01$18,917
2022-04-01$18,452
2022-05-01$17,859
2022-06-01$16,789
2022-07-01$18,321
2022-08-01$18,006
2022-09-01$16,965
2022-10-01$17,562
2022-11-01$17,728
2022-12-01$16,756
2023-01-01$17,590
2023-02-01$17,689
2023-03-01$17,591
2023-04-01$17,630
2023-05-01$18,120
2023-06-01$18,578
2023-07-01$19,240
2023-08-01$19,040
2023-09-01$18,738
2023-10-01$18,059
2023-11-01$19,109
2023-12-01$19,774
2024-01-01$20,441
2024-02-01$21,212
2024-03-01$21,944
2024-04-01$21,555
2024-05-01$21,782
2024-06-01$22,876
2024-07-01$22,890
2024-08-01$22,797
2024-09-01$23,226
2024-10-01$23,465
2024-11-01$25,026
2024-12-01$24,867
2025-01-01$25,824
2025-02-01$25,207
2025-03-01$23,360
2025-04-01$22,449
2025-05-01$23,863
2025-06-01$24,112
2025-07-01$25,260
2025-08-01$25,180
2025-09-01$25,921
2025-10-01$27,104
2025-11-01$26,961
2025-12-01$27,034
2026-01-01$27,372
2026-02-01$27,857
2026-03-01$26,380
2026-04-01$28,667
2026-05-01$30,342
2026-06-01$30,797
2026-07-01$30,332
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
18.8%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.63
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.89
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
12.9%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2021 · +28.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -13.8%
% 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
20178.6%
2018-5.3%
201928.2%
20206.0%
202128.8%
2022-13.8%
202318.0%
202425.8%
20258.7%
202612.2%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20261.31.8-5.38.75.81.5-1.512.2%
20253.8-2.4-7.3-3.96.31.04.8-0.32.94.6-0.50.38.7%
20243.43.83.5-1.81.15.00.1-0.41.91.06.7-0.625.8%
20235.00.6-0.60.22.82.53.6-1.0-1.6-3.65.83.518.0%
2022-4.5-2.24.1-2.5-3.2-6.09.1-1.7-5.83.50.9-5.5-13.8%
20211.22.85.61.6-0.24.60.72.8-1.94.80.43.528.8%
20200.3-8.2-11.59.51.92.60.05.2-0.9-2.18.92.26.0%
20197.53.32.43.4-4.93.93.3-2.13.30.04.21.128.2%
20181.5-2.0-4.85.13.0-0.22.31.01.0-7.51.4-5.6-5.3%
20170.54.20.3-0.5-0.7-1.7-0.4-1.53.43.7-0.11.28.6%
2016-1.20.51.44.32.78.0%

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.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
13.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US50.0%
VEA.US15.4%
VWO.US2.3%
QQQ.US-1.5%
VTV.US0.2%
IJR.US-1.7%
QUAL.US-1.5%
SHV.US9.2%
TLT.US0.1%
LQD.US2.2%
HYG.US-1.6%
GLD.US-0.0%
USO.US-0.0%
VNQ.US-0.8%
BTC-USD.CC0.9%
CPER.US1.2%
VIX.INDX-0.9%
UUP.US21.1%
TIP.US1.7%
Idiosyncratic3.7%

SSgA SPDR MSCI ACWI ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
12.00%
87th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
77th pct
larger than 77% of 1,446 ETFs we track
Holdings Count10
Distribution Yield
2.6%
61st pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E18.37x
Portfolio Price-to-Sales2.69x
Portfolio Price-to-Book3.36x

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
$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 →
-0.6%
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 →
+7.4%
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 →
2.3% 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 →
0.00
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 →
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+5.8%
50.0% retracement+8.6%
61.8% retracement+11.6%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

ACWE.PA — 10-Year Return & Risk Profile

SSgA SPDR MSCI ACWI (ACWE.PA) has delivered strong annualized growth of 12.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $31,129, representing a total return of 211%. Over this period, ACWE.PA generated positive annual returns in 8 out of 10 calendar years (80%).

The best single calendar year for ACWE.PA was 2021, with a return of +28.8%. The worst year was 2022, when the asset declined 13.8%. 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 0.63 is considered acceptable 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.

ACWE.PA — Drawdown, Volatility & Downside Risk

ACWE.PA's annualized volatility of 12.9% is classified as low relative to the long-run US equity benchmark of approximately 15%. This below-average volatility profile suggests the asset has historically experienced smaller day-to-day price swings than the broad market, which may appeal to risk-conscious or income-oriented investors.

The asset's maximum peak-to-trough decline over the study period was 18.8% — a notable pullback. 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 19% drawdown, for example, requires a 23% gain just to break even.

When evaluating ACWE.PA 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.

ACWE.PA — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 50.0% of ACWE.PA's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, ACWE.PA 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 ACWE.PA allocation.

The second-largest macro driver is US Dollar Strength, contributing 21.1% of variance. 3.7% of ACWE.PA'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 ACWE.PA's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding ACWE.PA alongside assets with low correlation to US Equity (broad market) — 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 SSgA SPDR MSCI ACWI a high-risk investment?

SSgA SPDR MSCI ACWI (ACWE.PA) has an annualized volatility of 13.5% and experienced a maximum drawdown of 18.8% over the last 10 years. Its primary macro risk driver is VTI.US.

What is the 10-year return of ACWE.PA?

Over the past 10 years, ACWE.PA has generated a Compound Annual Growth Rate (CAGR) of 12.0%. A $10,000 investment would have grown to approximately $31,129. It has had a positive return in 80% of calendar years.

What is ACWE.PA's Sharpe ratio?

ACWE.PA has a Sharpe ratio of 0.63 and a Sortino ratio of 0.89 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 ACWE.PA's dividend yield?

ACWE.PA has an average trailing dividend yield of 2.63%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is ACWE.PA above its 200-day moving average?

ACWE.PA is currently above its 200-day moving average by 7.4%. The current trend signal is: Bullish — 50 SMA above 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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