Dimensional 2040 Target Fund Market Value
| DRIHX Fund | USD 15.14 0.16 1.07% |
| Symbol | Dimensional |
Dimensional 2040 '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 2040'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 2040.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Dimensional 2040 on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Dimensional 2040 Target or generate 0.0% return on investment in Dimensional 2040 over 30 days. Dimensional 2040 is related to or competes with Dimensional 2035, Dimensional 2025, Dimensional 2030, Dimensional 2050, and Dimensional 2020. To achieve its investment objective, the Portfolio allocates its assets to other mutual funds managed by the Advisor acc... More
Dimensional 2040 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 2040'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 2040 Target upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5459 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.48 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.8202 |
Dimensional 2040 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional 2040's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional 2040's standard deviation. In reality, there are many statistical measures that can use Dimensional 2040 historical prices to predict the future Dimensional 2040's volatility.| Risk Adjusted Performance | 0.062 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0565 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional 2040'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 2040 Target Backtested Returns
We consider Dimensional 2040 very steady. Dimensional 2040 Target secures Sharpe Ratio (or Efficiency) of 0.0867, which denotes the fund had a 0.0867% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dimensional 2040 Target, which you can use to evaluate the volatility of the entity. Please confirm Dimensional 2040's Downside Deviation of 0.5459, mean deviation of 0.4201, and Coefficient Of Variation of 990.99 to check if the risk estimate we provide is consistent with the expected return of 0.0461%. The fund shows a Beta (market volatility) of 0.79, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dimensional 2040's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional 2040 is expected to be smaller as well.
Auto-correlation | -0.5 |
Modest reverse predictability
Dimensional 2040 Target has modest reverse predictability. Overlapping area represents the amount of predictability between Dimensional 2040 time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th of May 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 Dimensional 2040 Target price movement. The serial correlation of -0.5 indicates that about 50.0% of current Dimensional 2040 price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Dimensional 2040 Target lagged returns against current returns
Autocorrelation, which is Dimensional 2040 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 2040's mutual fund expected returns. We can calculate the autocorrelation of Dimensional 2040 returns to help us make a trade decision. For example, suppose you find that Dimensional 2040 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 2040 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 2040 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional 2040 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 2040 mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dimensional 2040 Lagged Returns
When evaluating Dimensional 2040's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional 2040 mutual fund have on its future price. Dimensional 2040 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 2040 autocorrelation shows the relationship between Dimensional 2040 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dimensional 2040 Target.
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 Dimensional 2040 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, Dimensional 2040's short interest history, or implied volatility extrapolated from Dimensional 2040 options trading.
Pair Trading with Dimensional 2040
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 Dimensional 2040 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 Dimensional 2040 will appreciate offsetting losses from the drop in the long position's value.Moving together with Dimensional Mutual Fund
| 0.96 | DIHRX | Intal High Relative | PairCorr |
| 0.9 | DILRX | Dfa International | PairCorr |
| 0.75 | DISVX | Dfa International Small | PairCorr |
| 0.92 | DISMX | Dfa International | PairCorr |
The ability to find closely correlated positions to Dimensional 2040 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dimensional 2040 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 Dimensional 2040 - 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 Dimensional 2040 Target to buy it.
The correlation of Dimensional 2040 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 Dimensional 2040 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dimensional 2040 Target 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 Dimensional 2040 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 Dimensional 2040 Correlation, Dimensional 2040 Volatility and Dimensional 2040 Alpha and Beta module to complement your research on Dimensional 2040. Note that the Dimensional 2040 Target information on this page should be used as a complementary analysis to other Dimensional 2040's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Dimensional 2040 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.