Emerging Markets Small Fund Market Value
| DEMSX Fund | USD 23.85 0.15 0.63% |
| Symbol | Emerging |
Emerging Markets '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 Emerging Markets' 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 Emerging Markets.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Emerging Markets on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Emerging Markets Small or generate 0.0% return on investment in Emerging Markets over 720 days. Emerging Markets is related to or competes with Dunham Real, Vanguard Reit, Fidelity Real, Goldman Sachs, Deutsche Real, Prudential Real, and Virtus Real. The Portfolio is a Feeder Portfolio and pursues its objective by investing substantially all of its assets in its corres... More
Emerging Markets 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 Emerging Markets' 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 Emerging Markets Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8658 | |||
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 3.18 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.16 |
Emerging Markets Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerging Markets' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerging Markets' standard deviation. In reality, there are many statistical measures that can use Emerging Markets historical prices to predict the future Emerging Markets' volatility.| Risk Adjusted Performance | 0.0112 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.0032 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerging Markets' 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.
Emerging Markets Small Backtested Returns
At this stage we consider Emerging Mutual Fund to be very steady. Emerging Markets Small secures Sharpe Ratio (or Efficiency) of 0.0274, which denotes the fund had a 0.0274% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Emerging Markets Small, which you can use to evaluate the volatility of the entity. Please confirm Emerging Markets' Coefficient Of Variation of 6858.4, mean deviation of 0.6034, and Downside Deviation of 0.8658 to check if the risk estimate we provide is consistent with the expected return of 0.0206%. The fund shows a Beta (market volatility) of 0.37, which means possible diversification benefits within a given portfolio. As returns on the market increase, Emerging Markets' returns are expected to increase less than the market. However, during the bear market, the loss of holding Emerging Markets is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Emerging Markets Small has modest predictability. Overlapping area represents the amount of predictability between Emerging Markets time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd of December 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 Emerging Markets Small price movement. The serial correlation of 0.52 indicates that about 52.0% of current Emerging Markets price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.88 |
Emerging Markets Small lagged returns against current returns
Autocorrelation, which is Emerging Markets 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 Emerging Markets' mutual fund expected returns. We can calculate the autocorrelation of Emerging Markets returns to help us make a trade decision. For example, suppose you find that Emerging Markets 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 |
Emerging Markets 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 Emerging Markets mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Emerging Markets mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Emerging Markets mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Emerging Markets Lagged Returns
When evaluating Emerging Markets' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Emerging Markets mutual fund have on its future price. Emerging Markets 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, Emerging Markets autocorrelation shows the relationship between Emerging Markets mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Emerging Markets Small.
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 Emerging Mutual Fund
Emerging Markets financial ratios help investors to determine whether Emerging 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 Emerging with respect to the benefits of owning Emerging Markets security.
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