Dimensional 2030 Target Fund Market Value
| DRIWX Fund | USD 11.78 0.01 0.09% |
| Symbol | Dimensional |
Dimensional 2030 '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 Dimensional 2030'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 Dimensional 2030.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in Dimensional 2030 on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding Dimensional 2030 Target or generate 0.0% return on investment in Dimensional 2030 over 30 days. Dimensional 2030 is related to or competes with Intal High, Dfa -, Dfa Inflation, Dfa International, Dfa -, Dfa Mn, and Dfa Municipal. To achieve its investment objective, the Portfolio allocates its assets to other mutual funds managed by the Advisor acc... More
Dimensional 2030 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 Dimensional 2030'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 Dimensional 2030 Target upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 5.09 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 0.6294 |
Dimensional 2030 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional 2030's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional 2030's standard deviation. In reality, there are many statistical measures that can use Dimensional 2030 historical prices to predict the future Dimensional 2030's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | (1.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional 2030'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.
Dimensional 2030 Target Backtested Returns
Dimensional 2030 Target secures Sharpe Ratio (or Efficiency) of -0.17, which denotes the fund had a -0.17% return per unit of risk over the last 3 months. Dimensional 2030 Target exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dimensional 2030's Variance of 0.471, standard deviation of 0.6863, and Mean Deviation of 0.4332 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.12, which means not very significant fluctuations relative to the market. As returns on the market increase, Dimensional 2030's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional 2030 is expected to be smaller as well.
Auto-correlation | 0.81 |
Very good predictability
Dimensional 2030 Target has very good predictability. Overlapping area represents the amount of predictability between Dimensional 2030 time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 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 Dimensional 2030 Target price movement. The serial correlation of 0.81 indicates that around 81.0% of current Dimensional 2030 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dimensional 2030 Target lagged returns against current returns
Autocorrelation, which is Dimensional 2030 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 Dimensional 2030's mutual fund expected returns. We can calculate the autocorrelation of Dimensional 2030 returns to help us make a trade decision. For example, suppose you find that Dimensional 2030 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 |
Dimensional 2030 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 Dimensional 2030 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional 2030 mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dimensional 2030 mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dimensional 2030 Lagged Returns
When evaluating Dimensional 2030's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional 2030 mutual fund have on its future price. Dimensional 2030 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, Dimensional 2030 autocorrelation shows the relationship between Dimensional 2030 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dimensional 2030 Target.
Regressed Prices |
| Timeline |
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Other Information on Investing in Dimensional Mutual Fund
Dimensional 2030 financial ratios help investors to determine whether Dimensional 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 Dimensional with respect to the benefits of owning Dimensional 2030 security.
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