Mfs Emerging Markets Fund Technical Analysis
| EMLIX Fund | USD 6.12 0.02 0.33% |
As of the 5th of February, Mfs Emerging secures the Risk Adjusted Performance of 0.1758, coefficient of variation of 385.51, and Mean Deviation of 0.2204. Mfs Emerging Markets technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the fund's future prices.
Mfs Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mfs, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MfsMfs |
Mfs Emerging 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Mfs Emerging's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Mfs Emerging.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Mfs Emerging on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Mfs Emerging Markets or generate 0.0% return on investment in Mfs Emerging over 90 days. Mfs Emerging is related to or competes with Dunham Large, American Mutual, Dana Large, Pace Large, Guidemark Large, Transamerica Large, and Cb Large. The fund normally invests at least 80 percent of its net assets in debt instruments of issuers that are tied economicall... More
Mfs Emerging Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Mfs Emerging's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Mfs Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3931 | |||
| Information Ratio | 0.0402 | |||
| Maximum Drawdown | 1.81 | |||
| Value At Risk | (0.34) | |||
| Potential Upside | 0.5093 |
Mfs Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mfs Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mfs Emerging's standard deviation. In reality, there are many statistical measures that can use Mfs Emerging historical prices to predict the future Mfs Emerging's volatility.| Risk Adjusted Performance | 0.1758 | |||
| Jensen Alpha | 0.0668 | |||
| Total Risk Alpha | 0.0445 | |||
| Sortino Ratio | 0.0301 | |||
| Treynor Ratio | (7.54) |
Mfs Emerging February 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1758 | |||
| Market Risk Adjusted Performance | (7.53) | |||
| Mean Deviation | 0.2204 | |||
| Downside Deviation | 0.3931 | |||
| Coefficient Of Variation | 385.51 | |||
| Standard Deviation | 0.2944 | |||
| Variance | 0.0866 | |||
| Information Ratio | 0.0402 | |||
| Jensen Alpha | 0.0668 | |||
| Total Risk Alpha | 0.0445 | |||
| Sortino Ratio | 0.0301 | |||
| Treynor Ratio | (7.54) | |||
| Maximum Drawdown | 1.81 | |||
| Value At Risk | (0.34) | |||
| Potential Upside | 0.5093 | |||
| Downside Variance | 0.1545 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.32) | |||
| Skewness | (0.27) | |||
| Kurtosis | 2.04 |
Mfs Emerging Markets Backtested Returns
At this stage we consider Mfs Mutual Fund to be very steady. Mfs Emerging Markets has Sharpe Ratio of 0.25, which conveys that the entity had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Mfs Emerging, which you can use to evaluate the volatility of the fund. Please verify Mfs Emerging's Coefficient Of Variation of 385.51, risk adjusted performance of 0.1758, and Mean Deviation of 0.2204 to check out if the risk estimate we provide is consistent with the expected return of 0.0757%. The fund secures a Beta (Market Risk) of -0.0088, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Mfs Emerging are expected to decrease at a much lower rate. During the bear market, Mfs Emerging is likely to outperform the market.
Auto-correlation | 0.60 |
Good predictability
Mfs Emerging Markets has good predictability. Overlapping area represents the amount of predictability between Mfs Emerging time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Mfs Emerging Markets price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Mfs Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Mfs Emerging technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Mfs Emerging Markets Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Mfs Emerging Markets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Mfs Emerging Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Mfs Emerging Markets on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Mfs Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Mfs Emerging Markets price pattern first instead of the macroeconomic environment surrounding Mfs Emerging Markets. By analyzing Mfs Emerging's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Mfs Emerging's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Mfs Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Mfs Emerging February 5, 2026 Technical Indicators
Most technical analysis of Mfs help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Mfs from various momentum indicators to cycle indicators. When you analyze Mfs charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1758 | |||
| Market Risk Adjusted Performance | (7.53) | |||
| Mean Deviation | 0.2204 | |||
| Downside Deviation | 0.3931 | |||
| Coefficient Of Variation | 385.51 | |||
| Standard Deviation | 0.2944 | |||
| Variance | 0.0866 | |||
| Information Ratio | 0.0402 | |||
| Jensen Alpha | 0.0668 | |||
| Total Risk Alpha | 0.0445 | |||
| Sortino Ratio | 0.0301 | |||
| Treynor Ratio | (7.54) | |||
| Maximum Drawdown | 1.81 | |||
| Value At Risk | (0.34) | |||
| Potential Upside | 0.5093 | |||
| Downside Variance | 0.1545 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.32) | |||
| Skewness | (0.27) | |||
| Kurtosis | 2.04 |
Mfs Emerging February 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Mfs stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 6.12 | ||
| Day Typical Price | 6.12 | ||
| Price Action Indicator | (0.01) |
Other Information on Investing in Mfs Mutual Fund
Mfs Emerging financial ratios help investors to determine whether Mfs Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Mfs with respect to the benefits of owning Mfs Emerging security.
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