Dfa Emerging Markets Fund Market Value
| DFESX Fund | USD 17.10 0.21 1.24% |
| Symbol | Dfa |
Dfa 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 Dfa 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 Dfa Emerging.
| 04/25/2025 |
| 07/24/2025 |
If you would invest 0.00 in Dfa Emerging on April 25, 2025 and sell it all today you would earn a total of 0.00 from holding Dfa Emerging Markets or generate 0.0% return on investment in Dfa Emerging over 90 days. Dfa Emerging is related to or competes with Ambrus Core, Versatile Bond, Rbc Ultra-short, Calvert Bond, Bbh Intermediate, Ab Bond, and Intermediate-term. The fund will invest at least 80 percent of its net assets in emerging markets equity securities that are defined in the... More
Dfa 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 Dfa 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 Dfa Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6976 | |||
| Information Ratio | 0.0996 | |||
| Maximum Drawdown | 4.13 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 1.34 |
Dfa Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dfa Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dfa Emerging's standard deviation. In reality, there are many statistical measures that can use Dfa Emerging historical prices to predict the future Dfa Emerging's volatility.| Risk Adjusted Performance | 0.3563 | |||
| Jensen Alpha | 0.1843 | |||
| Total Risk Alpha | 0.1122 | |||
| Sortino Ratio | 0.1015 | |||
| Treynor Ratio | 0.6168 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dfa 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.
Dfa Emerging Markets Backtested Returns
Dfa Emerging appears to be very steady, given 3 months investment horizon. Dfa Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.37, which denotes the fund had a 0.37 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Dfa Emerging Markets, which you can use to evaluate the volatility of the entity. Please utilize Dfa Emerging's Coefficient Of Variation of 248.05, downside deviation of 0.6976, and Mean Deviation of 0.4762 to check if our risk estimates are consistent with your expectations. 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, Dfa Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dfa Emerging is expected to be smaller as well.
Auto-correlation | 0.86 |
Very good predictability
Dfa Emerging Markets has very good predictability. Overlapping area represents the amount of predictability between Dfa Emerging time series from 25th of April 2025 to 9th of June 2025 and 9th of June 2025 to 24th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Dfa Emerging Markets price movement. The serial correlation of 0.86 indicates that approximately 86.0% of current Dfa Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Dfa Emerging Markets lagged returns against current returns
Autocorrelation, which is Dfa 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 Dfa Emerging's mutual fund expected returns. We can calculate the autocorrelation of Dfa Emerging returns to help us make a trade decision. For example, suppose you find that Dfa 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 |
Dfa 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 Dfa Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dfa 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 Dfa Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dfa Emerging Lagged Returns
When evaluating Dfa Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dfa Emerging mutual fund have on its future price. Dfa 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, Dfa Emerging autocorrelation shows the relationship between Dfa Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dfa Emerging Markets.
Regressed Prices |
| Timeline |
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Other Information on Investing in Dfa Mutual Fund
Dfa Emerging financial ratios help investors to determine whether Dfa 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 Dfa with respect to the benefits of owning Dfa Emerging security.
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