Dunham Emerging Markets Fund Technical Analysis
| DNEMX Fund | USD 19.53 0.27 1.40% |
As of the 3rd of February, Dunham Emerging shows the Downside Deviation of 0.9311, mean deviation of 0.762, and Coefficient Of Variation of 647.88. Dunham Emerging Markets 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.
Dunham 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 Dunham, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DunhamDunham |
Dunham 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 Dunham 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 Dunham Emerging.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Dunham Emerging on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Dunham Emerging Markets or generate 0.0% return on investment in Dunham Emerging over 90 days. Dunham Emerging is related to or competes with Eventide Healthcare, Blackrock Health, Live Oak, Alger Health, Deutsche Health, Alger Health, and Alphacentric Lifesci. The fund invests primarily in emerging market equity securities traded on foreign stock exchanges More
Dunham 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 Dunham 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 Dunham Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9311 | |||
| Information Ratio | 0.097 | |||
| Maximum Drawdown | 4.69 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.69 |
Dunham Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dunham Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dunham Emerging's standard deviation. In reality, there are many statistical measures that can use Dunham Emerging historical prices to predict the future Dunham Emerging's volatility.| Risk Adjusted Performance | 0.1156 | |||
| Jensen Alpha | 0.1082 | |||
| Total Risk Alpha | 0.0793 | |||
| Sortino Ratio | 0.1012 | |||
| Treynor Ratio | 0.2019 |
Dunham Emerging February 3, 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 | 0.1156 | |||
| Market Risk Adjusted Performance | 0.2119 | |||
| Mean Deviation | 0.762 | |||
| Semi Deviation | 0.7774 | |||
| Downside Deviation | 0.9311 | |||
| Coefficient Of Variation | 647.88 | |||
| Standard Deviation | 0.9715 | |||
| Variance | 0.9437 | |||
| Information Ratio | 0.097 | |||
| Jensen Alpha | 0.1082 | |||
| Total Risk Alpha | 0.0793 | |||
| Sortino Ratio | 0.1012 | |||
| Treynor Ratio | 0.2019 | |||
| Maximum Drawdown | 4.69 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.69 | |||
| Downside Variance | 0.8669 | |||
| Semi Variance | 0.6043 | |||
| Expected Short fall | (0.89) | |||
| Skewness | (0.08) | |||
| Kurtosis | 0.2673 |
Dunham Emerging Markets Backtested Returns
At this stage we consider Dunham Mutual Fund to be very steady. Dunham Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.19, which denotes the fund had a 0.19 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Dunham Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Dunham Emerging's Mean Deviation of 0.762, coefficient of variation of 647.88, and Downside Deviation of 0.9311 to check if the risk estimate we provide is consistent with the expected return of 0.18%. The fund shows a Beta (market volatility) of 0.69, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dunham Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dunham Emerging is expected to be smaller as well.
Auto-correlation | -0.33 |
Poor reverse predictability
Dunham Emerging Markets has poor reverse predictability. Overlapping area represents the amount of predictability between Dunham Emerging time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 Dunham Emerging Markets price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Dunham Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.52 |
Dunham 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.
Dunham Emerging Markets Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Dunham Emerging Markets across different markets.
About Dunham 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 Dunham 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 Dunham Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dunham Emerging Markets price pattern first instead of the macroeconomic environment surrounding Dunham Emerging Markets. By analyzing Dunham 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 Dunham 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 Dunham Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dunham Emerging February 3, 2026 Technical Indicators
Most technical analysis of Dunham 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 Dunham from various momentum indicators to cycle indicators. When you analyze Dunham 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 | 0.1156 | |||
| Market Risk Adjusted Performance | 0.2119 | |||
| Mean Deviation | 0.762 | |||
| Semi Deviation | 0.7774 | |||
| Downside Deviation | 0.9311 | |||
| Coefficient Of Variation | 647.88 | |||
| Standard Deviation | 0.9715 | |||
| Variance | 0.9437 | |||
| Information Ratio | 0.097 | |||
| Jensen Alpha | 0.1082 | |||
| Total Risk Alpha | 0.0793 | |||
| Sortino Ratio | 0.1012 | |||
| Treynor Ratio | 0.2019 | |||
| Maximum Drawdown | 4.69 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.69 | |||
| Downside Variance | 0.8669 | |||
| Semi Variance | 0.6043 | |||
| Expected Short fall | (0.89) | |||
| Skewness | (0.08) | |||
| Kurtosis | 0.2673 |
Dunham Emerging February 3, 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 Dunham 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 | 1.01 | ||
| Day Median Price | 19.53 | ||
| Day Typical Price | 19.53 | ||
| Price Action Indicator | 0.13 |
Other Information on Investing in Dunham Mutual Fund
Dunham Emerging financial ratios help investors to determine whether Dunham 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 Dunham with respect to the benefits of owning Dunham Emerging security.
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