Emerging Markets Targeted Fund Technical Analysis
| DEMGX Fund | USD 13.84 0.01 0.07% |
As of the 25th of January, Emerging Markets shows the Mean Deviation of 0.466, coefficient of variation of 557.04, and Downside Deviation of 0.6896. Emerging Markets Targeted technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Emerging Markets Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Emerging, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EmergingEmerging |
Emerging Markets '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 Emerging Markets' 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 Emerging Markets.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Emerging Markets on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Emerging Markets Targeted or generate 0.0% return on investment in Emerging Markets over 90 days. Emerging Markets is related to or competes with 1919 Financial, Transamerica Financial, Prudential Financial, Icon Financial, and John Hancock. The portfolio is designed to provide exposure to a broad and diverse portfolio of securities, with a focus on small and ... More
Emerging Markets 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 Emerging Markets' 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 Emerging Markets Targeted upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6896 | |||
| Information Ratio | 0.0526 | |||
| Maximum Drawdown | 2.73 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.2 |
Emerging Markets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerging Markets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerging Markets' standard deviation. In reality, there are many statistical measures that can use Emerging Markets historical prices to predict the future Emerging Markets' volatility.| Risk Adjusted Performance | 0.1296 | |||
| Jensen Alpha | 0.0733 | |||
| Total Risk Alpha | 0.0432 | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 0.2498 |
Emerging Markets January 25, 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 | 0.1296 | |||
| Market Risk Adjusted Performance | 0.2598 | |||
| Mean Deviation | 0.466 | |||
| Semi Deviation | 0.4566 | |||
| Downside Deviation | 0.6896 | |||
| Coefficient Of Variation | 557.04 | |||
| Standard Deviation | 0.6175 | |||
| Variance | 0.3813 | |||
| Information Ratio | 0.0526 | |||
| Jensen Alpha | 0.0733 | |||
| Total Risk Alpha | 0.0432 | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 0.2498 | |||
| Maximum Drawdown | 2.73 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.2 | |||
| Downside Variance | 0.4756 | |||
| Semi Variance | 0.2085 | |||
| Expected Short fall | (0.51) | |||
| Skewness | (0.15) | |||
| Kurtosis | 0.1738 |
Emerging Markets Targeted Backtested Returns
At this stage we consider Emerging Mutual Fund to be very steady. Emerging Markets Targeted secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the fund had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Emerging Markets Targeted, which you can use to evaluate the volatility of the entity. Please confirm Emerging Markets' Mean Deviation of 0.466, coefficient of variation of 557.04, and Downside Deviation of 0.6896 to check if the risk estimate we provide is consistent with the expected return of 0.0992%. The fund shows a Beta (market volatility) of 0.4, which means possible diversification benefits within a given portfolio. As returns on the market increase, Emerging Markets' returns are expected to increase less than the market. However, during the bear market, the loss of holding Emerging Markets is expected to be smaller as well.
Auto-correlation | -0.55 |
Good reverse predictability
Emerging Markets Targeted has good reverse predictability. Overlapping area represents the amount of predictability between Emerging Markets time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 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 Emerging Markets Targeted price movement. The serial correlation of -0.55 indicates that about 55.0% of current Emerging Markets price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Emerging Markets 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.
Emerging Markets Targeted Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Emerging Markets Targeted volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Emerging Markets 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 Emerging Markets Targeted 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 Emerging Markets Targeted based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Emerging Markets Targeted price pattern first instead of the macroeconomic environment surrounding Emerging Markets Targeted. By analyzing Emerging Markets'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 Emerging Markets'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 Emerging Markets specific price patterns or momentum indicators. Please read more on our technical analysis page.
Emerging Markets January 25, 2026 Technical Indicators
Most technical analysis of Emerging 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 Emerging from various momentum indicators to cycle indicators. When you analyze Emerging 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 | 0.1296 | |||
| Market Risk Adjusted Performance | 0.2598 | |||
| Mean Deviation | 0.466 | |||
| Semi Deviation | 0.4566 | |||
| Downside Deviation | 0.6896 | |||
| Coefficient Of Variation | 557.04 | |||
| Standard Deviation | 0.6175 | |||
| Variance | 0.3813 | |||
| Information Ratio | 0.0526 | |||
| Jensen Alpha | 0.0733 | |||
| Total Risk Alpha | 0.0432 | |||
| Sortino Ratio | 0.0471 | |||
| Treynor Ratio | 0.2498 | |||
| Maximum Drawdown | 2.73 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.2 | |||
| Downside Variance | 0.4756 | |||
| Semi Variance | 0.2085 | |||
| Expected Short fall | (0.51) | |||
| Skewness | (0.15) | |||
| Kurtosis | 0.1738 |
Emerging Markets January 25, 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 Emerging 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 | 13.84 | ||
| Day Typical Price | 13.84 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Emerging Mutual Fund
Emerging Markets financial ratios help investors to determine whether Emerging 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 Emerging with respect to the benefits of owning Emerging Markets security.
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