SPDR MSCI Emerging Etf Performance

QEMM Etf  USD 68.64  -0.05  -0.07%   
The etf owns a Beta (Systematic Risk) of 0.93, which signifies possible diversification benefits within a given portfolio. SPDR MSCI tracks the broader market closely, rising and falling roughly in step with the benchmark.
Risk-Adjusted Performance
Contained
 
Weak
 
Strong
Compared with the broader market, risk-adjusted returns on SPDR MSCI Emerging rank lower than 5% of all global equities and portfolios over the last 90 days. This score becomes more useful when investors compare it with downside risk, Sharpe Ratio, and current trend stability. In spite of very healthy primary indicators, SPDR MSCI is not utilizing all of its potential. The recent price disarray may contribute to short-term losses for investors. Learn More

Relative Risk vs. Return Landscape

If you had invested $ 6,530 in SPDR MSCI Emerging on December 13, 2025 and sold it today you would have earned a total of $ 334.21 from holding SPDR MSCI Emerging or generated 5.12% return on investment over 90 days. SPDR MSCI Emerging is currently generating a 0.0893% daily expected return and carries 1.2223% risk (volatility on return distribution) over a 90-day horizon. In different words, 10% of etfs are less volatile than SPDR, and 99% of all traded equity instruments are projected to make higher returns than the ETF over the 90 days investment horizon.
  Expected Return   
       Risk  
This benchmark view frames the instrument through return capture and volatility trade-offs. It keeps the emphasis on benchmark context, not just standalone performance. Given the investment horizon of 90 days SPDR MSCI is expected to generate 1.54 times more return on investment than the market. However, the ETF is 1.54 times more volatile than its market benchmark. It trades about 0.07 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.08 per unit of risk.

Historical Prices of SPDR MSCI Emerging

Below is the normalized historical share price chart for SPDR MSCI Emerging extending back to June 05, 2014. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of SPDR MSCI stands at 68.64, as last reported on the 13th of March 2026, with the highest price reaching 69.02 and the lowest price hitting 68.64 during the day.
Macro event markers
 
Yuan Drop
 
Covid
 
Interest Hikes

Target Price Odds to finish over Current Price

Prices of ETFs like SPDR Etf tend to oscillate around a central value over time, a phenomenon known as mean reversion. Although this tendency is a useful forecasting input, some instruments remain persistently underpriced or overpriced before the market corrects the discrepancy.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
68.64 90 days 68.64
about 61.01
Under a normal probability framework, the likelihood of SPDR MSCI moving above the current price in 90 days from now is about 61.01 (The distribution above models the probability of SPDR Etf reaching different price points within 90 days).
Given the investment horizon of 90 days SPDR MSCI has a beta of 0.93 indicating SPDR MSCI Emerging market returns are highly reactive to returns on the market. As the market goes up or down, SPDR MSCI is expected to follow. Additionally, SPDR MSCI Emerging has an alpha of 0.1071, implying that it can generate a 0.1071 percent excess return over Dow Jones Industrial after adjusting for the inherent market risk (beta).
   SPDR MSCI Price Density   
       Price  

Predictive Modules for SPDR MSCI

The challenge of forecasting SPDR MSCI Emerging mirrors the broader difficulty of predicting ETF market movements. No single technique offers reliable accuracy, but investors who apply multiple methods and compare the results are better positioned to identify potential outcomes and manage risk effectively.
While mean reversion in SPDR MSCI is a statistically observable tendency, it operates on uncertain timelines. Positions sized too aggressively against the trend can suffer sustained losses before reversion occurs.
Hype
Prediction
LowEstimatedHigh
67.7368.9670.19
Details
Intrinsic
Valuation
LowRealHigh
62.1272.9974.22
Details
Naive
Forecast
LowNextHigh
65.9467.1768.40
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
68.1872.1176.04
Details
To derive maximum value from SPDR MSCI analysis, compare SPDR MSCI's metrics against peers. This cross-sectional approach separates idiosyncratic performance from sector-level trends.

Primary Risk Indicators

The etf market has been marked by significant volatility in the last 10-20 years, and SPDR MSCI has not been spared. Both sharp declines and strong rallies have tested investor discipline. A hedging strategy built around SPDR MSCI's risk indicators can help those holding SPDR MSCI Emerging manage downside risk more effectively.
α
Alpha over Dow Jones
0.11
β
Beta against Dow Jones0.93
σ
Overall volatility
3.04
Ir
Information ratio 0.09

Investor Alerts and Insights

Investors who use alerts for SPDR MSCI can respond more quickly to important ETF events. Notifications for SPDR MSCI Emerging highlight significant technical and fundamental shifts that may create new opportunities or signal emerging risks.
Latest headline from news.google.com: Responsive Playbooks and the QEMM Inflection - Stock Traders Daily
The fund maintains 98.17% of its assets in stocks

SPDR MSCI Fundamentals Growth

Investor sentiment toward SPDR Etf is largely driven by SPDR MSCI's fundamental metrics. Revenue growth rates, earnings per share trends, profit margin changes, and leverage ratios are among the most impactful factors determining SPDR Etf market behavior.

Performance Metrics & Calculation Methodology

SPDR MSCI performance is typically evaluated relative to its benchmark and tracking difference over time. Benchmark comparison clarifies whether outcomes reflect exposure or implementation effects.

Data shown for SPDR MSCI Emerging is aggregated from fund disclosures and market reference feeds and normalized across reporting formats. Source publication cadence can introduce delays. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Rifka Kats - Member of Macroaxis Editorial Board