Xtrackers MSCI Emerging Markets Climate Selection ETF (EMCS.US)

10-Year Study

EMCS.US · US · ETF

About Xtrackers MSCI Emerging Markets Climate Selection ETF (EMCS.US)

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The underlying index represents an emerging markets subset of the MSCI ACWI Select Climate 500 Index (the "parent index"), which is designed to track the performance of approximately 500 stocks of companies. The fund will invest at least 80% of its total assets (but typically far more) in component securities (including depositary receipts in respect of such securities) of the underlying index....

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

Fundamental Snapshot

Xtrackers MSCI Emerging Markets Climate Selection ETF (EMCS.US) charges an annual expense ratio of 0.15%, manages approximately $989.3M in net assets, and maintains a portfolio of 48 holdings. At the portfolio level, its underlying basket trades at 3.09x sales and 2.22x book value.

Executive Summary: Xtrackers MSCI Emerging Markets Climate Selection ETF has compounded at 10.6% annually over the last 10 years, with a maximum drawdown of 40.9% and an annualized volatility of 21.2%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+46.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+28.2%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.8%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+10.6%

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

View full price history data
DateValue
2018-12-01$10,000
2019-01-01$11,039
2019-02-01$10,839
2019-03-01$11,003
2019-04-01$11,317
2019-05-01$10,452
2019-06-01$11,029
2019-07-01$10,866
2019-08-01$10,458
2019-09-01$10,586
2019-10-01$11,014
2019-11-01$11,122
2019-12-01$11,954
2020-01-01$11,286
2020-02-01$10,840
2020-03-01$9,227
2020-04-01$10,013
2020-05-01$10,318
2020-06-01$11,100
2020-07-01$12,220
2020-08-01$12,649
2020-09-01$12,580
2020-10-01$12,910
2020-11-01$13,753
2020-12-01$14,312
2021-01-01$15,282
2021-02-01$15,170
2021-03-01$15,115
2021-04-01$15,338
2021-05-01$15,442
2021-06-01$15,751
2021-07-01$14,642
2021-08-01$14,929
2021-09-01$14,243
2021-10-01$14,529
2021-11-01$13,775
2021-12-01$14,023
2022-01-01$13,969
2022-02-01$13,204
2022-03-01$12,784
2022-04-01$11,927
2022-05-01$11,980
2022-06-01$11,313
2022-07-01$11,101
2022-08-01$10,991
2022-09-01$9,624
2022-10-01$9,305
2022-11-01$11,004
2022-12-01$10,716
2023-01-01$11,821
2023-02-01$10,897
2023-03-01$11,297
2023-04-01$11,026
2023-05-01$10,769
2023-06-01$11,225
2023-07-01$11,836
2023-08-01$11,100
2023-09-01$10,598
2023-10-01$10,281
2023-11-01$11,003
2023-12-01$11,325
2024-01-01$10,837
2024-02-01$11,222
2024-03-01$11,554
2024-04-01$11,591
2024-05-01$11,905
2024-06-01$12,264
2024-07-01$12,401
2024-08-01$12,614
2024-09-01$13,528
2024-10-01$13,078
2024-11-01$12,581
2024-12-01$12,471
2025-01-01$12,836
2025-02-01$13,211
2025-03-01$13,368
2025-04-01$13,251
2025-05-01$13,907
2025-06-01$14,970
2025-07-01$14,898
2025-08-01$15,114
2025-09-01$16,577
2025-10-01$17,184
2025-11-01$16,784
2025-12-01$17,300
2026-01-01$18,807
2026-02-01$19,958
2026-03-01$18,276
2026-07-01$21,399
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
40.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.43
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.75
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
19.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2025 · +38.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -23.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
75%

Annual Returns

View full annual returns data
YearReturn
201919.5%
202019.7%
2021-2.0%
2022-23.6%
20235.7%
202410.1%
202538.7%
202623.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20268.76.1-8.417.123.7%
20252.92.91.2-0.94.97.6-0.51.59.73.7-2.33.138.7%
2024-4.33.53.00.32.73.01.11.77.2-3.3-3.8-0.910.1%
202310.3-7.83.7-2.4-2.34.25.4-6.2-4.5-3.07.02.95.7%
2022-0.4-5.5-3.2-6.70.4-5.6-1.9-1.0-12.4-3.318.3-2.6-23.6%
20216.8-0.7-0.41.50.72.0-7.02.0-4.62.0-5.21.8-2.0%
2020-5.6-4.0-14.98.53.07.610.13.5-0.52.66.54.119.7%
201910.4-1.81.52.9-7.75.5-1.5-3.81.24.01.07.519.5%

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
21.2%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-12.8%
VEA.US-1.3%
VWO.US53.0%
QQQ.US5.7%
VTV.US7.6%
IJR.US-0.3%
QUAL.US5.8%
SHV.US36.4%
TLT.US2.5%
LQD.US1.1%
HYG.US-0.3%
GLD.US2.1%
USO.US0.1%
VNQ.US-0.9%
BTC-USD.CC-0.1%
CPER.US-0.1%
VIX.INDX-0.2%
UUP.US-0.2%
TIP.US-0.6%
Idiosyncratic2.7%

Xtrackers MSCI Emerging Markets Climate Selection ETF ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.15%
18th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
53rd pct
larger than 53% of 1,446 ETFs we track
Holdings Count48
Distribution Yield
1.5%
43rd pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E12.25x
Portfolio Price-to-Sales3.09x
Portfolio Price-to-Book2.22x

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 →
+7.1%
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 →
+22.4%
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 →
4.3% 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 →
1.18
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 →
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+14.0%
50.0% retracement+21.1%
61.8% retracement+29.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

EMCS.US — 10-Year Return & Risk Profile

Xtrackers MSCI Emerging Markets Climate Selection ETF (EMCS.US) has delivered solid annualized growth of 10.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $27,277, representing a total return of 173%. Over this period, EMCS.US generated positive annual returns in 8 out of 10 calendar years (75%).

The best single calendar year for EMCS.US was 2025, with a return of +38.7%. The worst year was 2022, when the asset declined 23.6%. 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 0.43 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.

EMCS.US — Drawdown, Volatility & Downside Risk

EMCS.US's annualized volatility of 19.6% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in EMCS.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 40.9% — a severe bear-market collapse. 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 41% drawdown, for example, requires a 69% gain just to break even.

When evaluating EMCS.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.

EMCS.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 53.0% of EMCS.US's return variance to Emerging Market Equities. This means that when Emerging Market Equities rises or falls sharply, EMCS.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 EMCS.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 36.4% of variance. 2.7% of EMCS.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 EMCS.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding EMCS.US alongside assets with low correlation to Emerging Market Equities — 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 Xtrackers MSCI Emerging Markets Climate Selection ETF a high-risk investment?

Xtrackers MSCI Emerging Markets Climate Selection ETF (EMCS.US) has an annualized volatility of 21.2% and experienced a maximum drawdown of 40.9% over the last 10 years. Its primary macro risk driver is VWO.US.

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

Over the past 10 years, EMCS.US has generated a Compound Annual Growth Rate (CAGR) of 10.6%. A $10,000 investment would have grown to approximately $27,277. It has had a positive return in 75% of calendar years.

What is EMCS.US's Sharpe ratio?

EMCS.US has a Sharpe ratio of 0.43 and a Sortino ratio of 0.75 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 EMCS.US's dividend yield?

EMCS.US has an average trailing dividend yield of 1.46%. 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 EMCS.US above its 200-day moving average?

EMCS.US is currently above its 200-day moving average by 22.4%. 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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