Dws Emerging Markets Fund Market Value
| SEKRX Fund | USD 17.12 0.25 1.48% |
| Symbol | Dws |
Dws 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 Dws 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 Dws Emerging.
| 01/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Dws Emerging on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding Dws Emerging Markets or generate 0.0% return on investment in Dws Emerging over 90 days. Dws Emerging is related to or competes with Fidelity Advisor, Franklin Biotechnology, Icon Information, Specialized Technology, Hennessy Technology, and Invesco Technology. Under normal circumstances, the fund invests at least 80 percent of net assets, plus the amount of any borrowings for in... More
Dws 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 Dws 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 Dws Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9002 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.81 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.32 |
Dws Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dws Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dws Emerging's standard deviation. In reality, there are many statistical measures that can use Dws Emerging historical prices to predict the future Dws Emerging's volatility.| Risk Adjusted Performance | 0.0389 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0466 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dws 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.
Dws Emerging Markets Backtested Returns
We consider Dws Emerging very steady. Dws Emerging Markets 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. We have found twenty-eight technical indicators for Dws Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Dws Emerging's Downside Deviation of 0.9002, coefficient of variation of 1687.52, and Mean Deviation of 0.5745 to check if the risk estimate we provide is consistent with the expected return of 0.0459%. The fund shows a Beta (market volatility) of 0.77, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dws Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dws Emerging is expected to be smaller as well.
Auto-correlation | -0.27 |
Weak reverse predictability
Dws Emerging Markets has weak reverse predictability. Overlapping area represents the amount of predictability between Dws Emerging time series from 25th of January 2024 to 10th of March 2024 and 10th of March 2024 to 24th 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 Dws Emerging Markets price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Dws Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Dws Emerging Markets lagged returns against current returns
Autocorrelation, which is Dws 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 Dws Emerging's mutual fund expected returns. We can calculate the autocorrelation of Dws Emerging returns to help us make a trade decision. For example, suppose you find that Dws 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 |
Dws 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 Dws Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dws 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 Dws Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dws Emerging Lagged Returns
When evaluating Dws Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dws Emerging mutual fund have on its future price. Dws 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, Dws Emerging autocorrelation shows the relationship between Dws Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dws Emerging Markets.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Dws Emerging Correlation, Dws Emerging Volatility and Dws Emerging Alpha and Beta module to complement your research on Dws Emerging. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Dws 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.