Dunham Emerging Markets Fund Market Value
| DNEMX Fund | USD 13.17 0.02 0.15% |
| Symbol | Dunham |
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.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Dunham Emerging on March 20, 2024 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 30 days. Dunham Emerging is related to or competes with Dunham Dynamic, Dunham Appreciation, Dunham Porategovernment, Dunham Small, Dunham Focused, and Dunham Floating. 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 | 0.8785 | |||
| Information Ratio | 0.0051 | |||
| Maximum Drawdown | 4.5 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 1.38 |
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 | 0.0572 | |||
| Jensen Alpha | 0.0113 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0048 | |||
| Treynor Ratio | 0.0714 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dunham Emerging'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 Emerging Markets Backtested Returns
We consider Dunham Emerging very steady. Dunham Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0908, which denotes the fund had a 0.0908% 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 Downside Deviation of 0.8785, coefficient of variation of 1129.09, and Mean Deviation of 0.6226 to check if the risk estimate we provide is consistent with the expected return of 0.0693%. The fund shows a Beta (market volatility) of 0.88, which means possible diversification benefits within a given portfolio. Dunham Emerging returns are very sensitive to returns on the market. As the market goes up or down, Dunham Emerging is expected to follow.
Auto-correlation | -0.95 |
Near perfect reversele predictability
Dunham Emerging Markets has near perfect reversele predictability. Overlapping area represents the amount of predictability between Dunham Emerging time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Emerging Markets price movement. The serial correlation of -0.95 indicates that approximately 95.0% of current Dunham Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.95 | |
| Spearman Rank Test | -0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Dunham Emerging Markets lagged returns against current returns
Autocorrelation, which is Dunham Emerging 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 Emerging's mutual fund expected returns. We can calculate the autocorrelation of Dunham Emerging returns to help us make a trade decision. For example, suppose you find that Dunham Emerging 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 Emerging 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 Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dunham Emerging 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 Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dunham Emerging Lagged Returns
When evaluating Dunham Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dunham Emerging mutual fund have on its future price. Dunham Emerging 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 Emerging autocorrelation shows the relationship between Dunham Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dunham Emerging Markets.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Dunham Emerging in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Dunham Emerging's short interest history, or implied volatility extrapolated from Dunham Emerging options trading.
Pair Trading with Dunham Emerging
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 Emerging 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 Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Dunham Mutual Fund
| 0.75 | DNAVX | Dunham Dynamic Macro | PairCorr |
| 0.74 | DNDGX | Dunham Small Cap | PairCorr |
The ability to find closely correlated positions to Dunham Emerging 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 Emerging 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 Emerging - 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 Emerging Markets to buy it.
The correlation of Dunham Emerging 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 Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dunham Emerging Markets 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 Emerging 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 Emerging Correlation, Dunham Emerging Volatility and Dunham Emerging Alpha and Beta module to complement your research on Dunham Emerging. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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.