Dunham Monthly Distribution Fund Technical Analysis
| DNMDX Fund | USD 29.11 0.02 0.07% |
As of the 29th of January, Dunham Monthly shows the Coefficient Of Variation of 265.71, mean deviation of 0.0542, and Standard Deviation of 0.0726. Dunham Monthly Distr 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 Monthly 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 Monthly '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 Monthly'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 Monthly.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Dunham Monthly on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Dunham Monthly Distribution or generate 0.0% return on investment in Dunham Monthly over 90 days. Dunham Monthly is related to or competes with Hennessy Small, Templeton Emerging, Morgan Stanley, Mairs Power, T Rowe, RiverNorthDoubleLine, and Cohen. The sub-adviser seeks to achieve attractive absolute returns by utilizing an event driven strategy across a diversified ... More
Dunham Monthly 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 Monthly'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 Monthly Distribution upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0872 | |||
| Information Ratio | (0.47) | |||
| Maximum Drawdown | 0.3136 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1392 |
Dunham Monthly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dunham Monthly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dunham Monthly's standard deviation. In reality, there are many statistical measures that can use Dunham Monthly historical prices to predict the future Dunham Monthly's volatility.| Risk Adjusted Performance | 0.1833 | |||
| Jensen Alpha | 0.0157 | |||
| Total Risk Alpha | 0.0122 | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.5303 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dunham Monthly's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Dunham Monthly January 29, 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 | 0.1833 | |||
| Market Risk Adjusted Performance | 0.5403 | |||
| Mean Deviation | 0.0542 | |||
| Downside Deviation | 0.0872 | |||
| Coefficient Of Variation | 265.71 | |||
| Standard Deviation | 0.0726 | |||
| Variance | 0.0053 | |||
| Information Ratio | (0.47) | |||
| Jensen Alpha | 0.0157 | |||
| Total Risk Alpha | 0.0122 | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.5303 | |||
| Maximum Drawdown | 0.3136 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1392 | |||
| Downside Variance | 0.0076 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.08) | |||
| Skewness | 0.0994 | |||
| Kurtosis | 0.5336 |
Dunham Monthly Distr Backtested Returns
At this stage we consider Dunham Mutual Fund to be very steady. Dunham Monthly Distr secures Sharpe Ratio (or Efficiency) of 0.39, which denotes the fund had a 0.39 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Dunham Monthly Distribution, which you can use to evaluate the volatility of the entity. Please confirm Dunham Monthly's Mean Deviation of 0.0542, coefficient of variation of 265.71, and Standard Deviation of 0.0726 to check if the risk estimate we provide is consistent with the expected return of 0.0284%. The fund shows a Beta (market volatility) of 0.0327, which means not very significant fluctuations relative to the market. As returns on the market increase, Dunham Monthly's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dunham Monthly is expected to be smaller as well.
Auto-correlation | 0.84 |
Very good predictability
Dunham Monthly Distribution has very good predictability. Overlapping area represents the amount of predictability between Dunham Monthly time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 Dunham Monthly Distr price movement. The serial correlation of 0.84 indicates that around 84.0% of current Dunham Monthly price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.89 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dunham Monthly 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 Monthly Distr Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Dunham Monthly Distr volatility developed by Welles Wilder.
About Dunham Monthly 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 Monthly Distribution 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 Monthly Distribution based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dunham Monthly Distr price pattern first instead of the macroeconomic environment surrounding Dunham Monthly Distr. By analyzing Dunham Monthly'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 Monthly'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 Monthly specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dunham Monthly January 29, 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 | 0.1833 | |||
| Market Risk Adjusted Performance | 0.5403 | |||
| Mean Deviation | 0.0542 | |||
| Downside Deviation | 0.0872 | |||
| Coefficient Of Variation | 265.71 | |||
| Standard Deviation | 0.0726 | |||
| Variance | 0.0053 | |||
| Information Ratio | (0.47) | |||
| Jensen Alpha | 0.0157 | |||
| Total Risk Alpha | 0.0122 | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.5303 | |||
| Maximum Drawdown | 0.3136 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1392 | |||
| Downside Variance | 0.0076 | |||
| Semi Variance | (0.03) | |||
| Expected Short fall | (0.08) | |||
| Skewness | 0.0994 | |||
| Kurtosis | 0.5336 |
Dunham Monthly January 29, 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 | 1.00 | ||
| Day Median Price | 29.11 | ||
| Day Typical Price | 29.11 | ||
| Price Action Indicator | (0.01) |
Other Information on Investing in Dunham Mutual Fund
Dunham Monthly 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 Monthly security.
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