Dunham Monthly Distribution Fund Market Value
| DAMDX Fund | USD 27.28 0.01 0.04% |
| 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.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Dunham Monthly on March 26, 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 The Merger, Vivaldi Merger, Vivaldi Merger, Arbitrage Fund, and Arbitrage Fund. 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.
| Information Ratio | (0.52) | |||
| Maximum Drawdown | 1.52 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.2188 |
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 | (0.05) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.41) |
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
Dunham Monthly Distr secures Sharpe Ratio (or Efficiency) of -0.0593, which denotes the fund had a -0.0593% return per unit of risk over the last 3 months. Dunham Monthly Distribution exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dunham Monthly's Variance of 0.0402, standard deviation of 0.2004, and Mean Deviation of 0.1282 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0469, 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 | 0.58 |
Modest predictability
Dunham Monthly Distribution has modest predictability. Overlapping area represents the amount of predictability between Dunham Monthly time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 0.58 indicates that roughly 58.0% of current Dunham Monthly price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 |
Pair Trading with Dunham Monthly
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Dunham Monthly position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Dunham Monthly will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Dunham Monthly could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dunham Monthly when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Dunham Monthly - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Dunham Monthly Distribution to buy it.
The correlation of Dunham Monthly is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Dunham Monthly moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dunham Monthly Distr moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Dunham Monthly can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Dunham Monthly Correlation, Dunham Monthly Volatility and Dunham Monthly Alpha and Beta module to complement your research on Dunham Monthly. Note that the Dunham Monthly Distr information on this page should be used as a complementary analysis to other Dunham Monthly's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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.