Dunham Dynamic Macro Fund Market Value
| DNAVX Fund | USD 12.53 0.05 0.40% |
| Symbol | Dunham |
Dunham Dynamic '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 Dynamic'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 Dynamic.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Dunham Dynamic on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Dunham Dynamic Macro or generate 0.0% return on investment in Dunham Dynamic over 30 days. Dunham Dynamic is related to or competes with Dunham Appreciation, Dunham Corporate/govern, Dunham Small, Dunham Emerging, Dunham Focused, and Dunham Floating. The fund may invest in or seek exposure to a wide range of asset classes including, without limitation, equity , fixed-i... More
Dunham Dynamic 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 Dynamic'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 Dynamic Macro upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4429 | |||
| Information Ratio | (0.30) | |||
| Maximum Drawdown | 2.02 | |||
| Value At Risk | (0.65) | |||
| Potential Upside | 0.6536 |
Dunham Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dunham Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dunham Dynamic's standard deviation. In reality, there are many statistical measures that can use Dunham Dynamic historical prices to predict the future Dunham Dynamic's volatility.| Risk Adjusted Performance | 0.0272 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.27) | |||
| Treynor Ratio | 0.0269 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dunham Dynamic'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 Dynamic Macro Backtested Returns
At this stage we consider Dunham Mutual Fund to be very steady. Dunham Dynamic Macro secures Sharpe Ratio (or Efficiency) of 0.064, which denotes the fund had a 0.064% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Dunham Dynamic Macro, which you can use to evaluate the volatility of the entity. Please confirm Dunham Dynamic's Mean Deviation of 0.2875, downside deviation of 0.4429, and Coefficient Of Variation of 2110.32 to check if the risk estimate we provide is consistent with the expected return of 0.025%. The fund shows a Beta (market volatility) of 0.34, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dunham Dynamic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dunham Dynamic is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
Dunham Dynamic Macro has good predictability. Overlapping area represents the amount of predictability between Dunham Dynamic time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Dynamic Macro price movement. The serial correlation of 0.66 indicates that around 66.0% of current Dunham Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dunham Dynamic Macro lagged returns against current returns
Autocorrelation, which is Dunham Dynamic 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 Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Dunham Dynamic returns to help us make a trade decision. For example, suppose you find that Dunham Dynamic 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 Dynamic 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 Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dunham Dynamic 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 Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dunham Dynamic Lagged Returns
When evaluating Dunham Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dunham Dynamic mutual fund have on its future price. Dunham Dynamic 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 Dynamic autocorrelation shows the relationship between Dunham Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dunham Dynamic Macro.
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 Dynamic 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 Dynamic security.
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