Dunham Monthly Distribution Fund Market Value
| DCMDX Fund | USD 18.46 0.02 0.11% |
| Symbol | Dunham |
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.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Dunham Monthly on October 30, 2024 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 30 days. Dunham Monthly is related to or competes with Dunham Monthly, Sierra Strategic, Nuveen Symphony, Thrivent High, Morningstar Unconstrained, High-yield Municipal, and Via Renewables. 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 | 0.275 | |||
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 1.7 | |||
| Value At Risk | (0.38) | |||
| Potential Upside | 0.4355 |
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 | 0.0709 | |||
| Jensen Alpha | 0.0036 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.33) | |||
| Treynor Ratio | 0.1361 |
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 Distr Backtested Returns
At this stage we consider Dunham Mutual Fund to be very steady. Dunham Monthly Distr secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dunham Monthly Distribution, which you can use to evaluate the volatility of the entity. Please confirm Dunham Monthly's Downside Deviation of 0.275, mean deviation of 0.2072, and Coefficient Of Variation of 884.76 to check if the risk estimate we provide is consistent with the expected return of 0.0405%. The fund shows a Beta (market volatility) of 0.17, 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 | 0.82 |
Very good predictability
Dunham Monthly Distribution has very good predictability. Overlapping area represents the amount of predictability between Dunham Monthly time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 2024. 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 0.82 indicates that around 82.0% of current Dunham Monthly price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dunham Monthly Distr lagged returns against current returns
Autocorrelation, which is Dunham Monthly mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Dunham Monthly's mutual fund expected returns. We can calculate the autocorrelation of Dunham Monthly returns to help us make a trade decision. For example, suppose you find that Dunham Monthly has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Dunham Monthly regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Dunham Monthly mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dunham Monthly mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dunham Monthly mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dunham Monthly Lagged Returns
When evaluating Dunham Monthly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dunham Monthly mutual fund have on its future price. Dunham Monthly autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Dunham Monthly autocorrelation shows the relationship between Dunham Monthly mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dunham Monthly Distribution.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |