Emerging Markets Small Fund Market Value
| DEMSX Fund | USD 23.03 0.12 0.52% |
| 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.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Emerging Markets on March 26, 2024 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 30 days. Emerging Markets is related to or competes with Amana Income, Amana Growth, Amana Participation, HUMANA, Barloworld, Morningstar Unconstrained, and High Yield. 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 | 0.6286 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 0.8826 |
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 | 0.0652 | |||
| Jensen Alpha | 0.0142 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.117 |
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
We consider Emerging Markets very steady. Emerging Markets Small secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the fund had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Emerging Markets Small, which you can use to evaluate the volatility of the entity. Please confirm Emerging Markets' Mean Deviation of 0.4738, downside deviation of 0.6286, and Coefficient Of Variation of 948.27 to check if the risk estimate we provide is consistent with the expected return of 0.066%. The fund shows a Beta (market volatility) of 0.45, 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 | -0.61 |
Very good reverse predictability
Emerging Markets Small has very good reverse predictability. Overlapping area represents the amount of predictability between Emerging Markets 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 Emerging Markets Small price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Emerging Markets price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
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 |
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 Emerging Markets 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, Emerging Markets' short interest history, or implied volatility extrapolated from Emerging Markets options trading.
Pair Trading with Emerging Markets
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 Emerging Markets 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 Emerging Markets will appreciate offsetting losses from the drop in the long position's value.Moving together with Emerging Mutual Fund
| 0.85 | DIHRX | Intal High Relative | PairCorr |
| 0.75 | DILRX | Dfa International | PairCorr |
| 0.88 | DISVX | Dfa International Small | PairCorr |
| 0.75 | DISMX | Dfa International | PairCorr |
The ability to find closely correlated positions to Emerging Markets could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Emerging Markets 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 Emerging Markets - 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 Emerging Markets Small to buy it.
The correlation of Emerging Markets 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 Emerging Markets moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Emerging Markets Small 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 Emerging Markets 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 Emerging Markets Correlation, Emerging Markets Volatility and Emerging Markets Alpha and Beta module to complement your research on Emerging Markets. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Emerging Markets 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.