Mfs Emerging Markets Fund Quote

Mutual Funds . USA . 
Fund . Mfs Emerging Markets
EMLCX Fund  USD 6.02  0.02  0.33%   
The investment seeks total return with an emphasis on high current income, but also considering capital appreciation. MFS Emerging is traded on NASDAQ Exchange in the United States. It is managed by MFS in the Emerging-Markets Local-Currency Bond category. Volume of about 1 shares indicates limited liquidity. Maximum drawdown of 2.71% indicates contained downside risk.
Performance
0High
0 · Weak
NAV Risk Level
HighLow
22 · Below Average
As of May 8, 2026, MFS EMERGING is priced at $6.02, reflecting a 0.33% increase today after opening at $6.0. Current risk models assign MFS EMERGING a 22% probability of significant NAV decline, reflecting a moderate probability within its current risk profile. Return data over the last 90 trading days classifies MFS EMERGING as weak in terms of performance. The performance scores are based on the time frame from February 7, 2026 to May 8, 2026. Learn more.
Moving together with MFS EMERGING Mutual Fund
  0.84PLMPX PIMCO Emerging MarketsPairCorr
  0.89PLMIX PIMCO Emerging MarketsPairCorr
  0.99PELPX PIMCO Emerging LocalPairCorr
  1.0PELBX PIMCO Emerging LocalPairCorr
  0.96PELAX PIMCO Emerging LocalPairCorr
  0.96PELCX PIMCO Emerging LocalPairCorr
Mfs Emerging Markets [EMLCX] is traded in USA. The fund is listed under the Emerging-Markets Local-Currency Bond category and is part of the MFS family. This fund currently has accumulated $542 million in assets under management (AUM) with no minimum investment requirements. Mfs Emerging Markets is currently producing a year-to-date (YTD) return of 0.39%, while the total return for the last 3 years is 5.93%. MFS EMERGING is an operator in the emerging-markets local-currency bond segment where revenue is driven by core operating activity and end-market demand.
MFS EMERGING financial stability analysis

Instrument Allocation

Mutual Fund Notable Updates

Legal NameMFS EMERGING MARKETS DEBT LOCAL CURRENCY FUND C
Fund ConcentrationEmerging-Markets Local-Currency Bond, MFS, (View all Sectors)

MFS EMERGING MARKETS DEBT LOCAL CURRENCY FUND C NAV Analysis

Aligned With Model
Today
6.02
This estimate for Mfs Emerging Markets is driven by the aggregate performance of its underlying assets across a 3 months time horizon. Pricing gaps often arise from short-term dislocations between fund value and underlying asset movements.
5.40
Downside
6.01
Intrinsic Value
6.62
Upside
Current intrinsic value estimate framed by downside and upside probability thresholds.
Target Odds

Common Risk Profiles

Mean Deviation0.4373
Standard Deviation0.5964
Variance0.3557
Risk Adjusted Performance-0.05

Mfs Emerging Markets Against Markets

EMLCX  0.33   
0%
28.0%
NYA  1.17   
100.0%
0%
 Competition   Compare Correlations

Investor Insights and Alerts

Monitoring MFS EMERGING from the family catches shifts in fund behavior before they affect returns. Shareholder alerts carry extra weight during periods of broad market stress, when fund-level risks can compound quickly. MFS EMERGING at 1 volume: the practical benefit is catching fund-level changes early, before they compound across the portfolio.
Mfs Emerging Markets generated a negative expected return over the last 90 days

Predictive Daily Indicators

Intraday indicators for Mfs Emerging Markets provide a tighter decision loop for shareholders managing active fund positions. For Emerging-Markets Local-Currency Bond mutual funds like MFS EMERGING, these indicators aid timing but merit evaluation against the fund's stated mandate. Short-horizon signals work best when the broader market has a clear directional trend. In range-bound conditions, noise increases.
Rate Of Daily Change1.0
Day Median Price6.02
Day Typical Price6.02
Price Action Indicator0.01
Period Momentum Indicator0.02
Relative Strength Index50.87

Forecast Models

For MFS EMERGING with inception on 2011-09-15, forecast models complement prospectus analysis by showing where NAV patterns support the thesis. Over three years, EMERGING returned 5.9%. The practical edge is understanding when the confidence interval around the fund's NAV forecast is narrow versus wide. MFS EMERGING returned 1.8% over five years. Tracking error between forecast and actual NAV helps calibrate model reliability for the fund.
Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression
Simple Moving Average
4 Period Moving Average
8 Period Moving Average
20 Period Moving Average

Mutual Fund Overview, Methodology & Data Sources

Fund analysis emphasizes diversification, manager constraints, and fee drag. The five-year return stands at 2.0%.

Methodology

Unless otherwise specified, data for Mfs Emerging Markets is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Mfs Emerging Markets market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. Assumptions: This report references public fund disclosures, holdings reports, and market data feeds and institutional disclosures, including U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain datasets may update with delay depending on source availability. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

Mfs Emerging Markets may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

Editorial review and methodology oversight provided by: Rifka Kats, Member of Macroaxis Editorial Board
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