Dimensional Retirement Income Fund Market Value
| TDIFX Fund | USD 11.36 0.05 0.44% |
| Symbol | Dimensional |
Dimensional Retirement '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 Retirement'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 Retirement.
| 05/01/2024 |
| 05/31/2024 |
If you would invest 0.00 in Dimensional Retirement on May 1, 2024 and sell it all today you would earn a total of 0.00 from holding Dimensional Retirement Income or generate 0.0% return on investment in Dimensional Retirement over 30 days. Dimensional Retirement is related to or competes with Vanguard Target, Jpmorgan Smartretirement, HUMANA, Barloworld, Morningstar Unconstrained, Thrivent High, and High-yield Municipal. To achieve its investment objective, the Portfolios allocates its assets to other mutual funds managed by the Advisor ac... More
Dimensional Retirement 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 Retirement'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 Retirement Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2582 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 0.9801 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.3594 |
Dimensional Retirement Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Retirement's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Retirement's standard deviation. In reality, there are many statistical measures that can use Dimensional Retirement historical prices to predict the future Dimensional Retirement's volatility.| Risk Adjusted Performance | 0.042 | |||
| Jensen Alpha | 0.0113 | |||
| Total Risk Alpha | 0.0069 | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.2984 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Retirement'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 Retirement Backtested Returns
We consider Dimensional Retirement very steady. Dimensional Retirement secures Sharpe Ratio (or Efficiency) of 0.0703, which denotes the fund had a 0.0703% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dimensional Retirement Income, which you can use to evaluate the volatility of the entity. Please confirm Dimensional Retirement's Coefficient Of Variation of 1027.49, mean deviation of 0.1741, and Downside Deviation of 0.2582 to check if the risk estimate we provide is consistent with the expected return of 0.016%. The fund shows a Beta (market volatility) of 0.0398, which means not very significant fluctuations relative to the market. As returns on the market increase, Dimensional Retirement's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional Retirement is expected to be smaller as well.
Auto-correlation | -0.26 |
Weak reverse predictability
Dimensional Retirement Income has weak reverse predictability. Overlapping area represents the amount of predictability between Dimensional Retirement time series from 1st of May 2024 to 16th of May 2024 and 16th of May 2024 to 31st 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 Retirement price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Dimensional Retirement price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dimensional Retirement lagged returns against current returns
Autocorrelation, which is Dimensional Retirement 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 Retirement's mutual fund expected returns. We can calculate the autocorrelation of Dimensional Retirement returns to help us make a trade decision. For example, suppose you find that Dimensional Retirement 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 Retirement 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 Retirement mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional Retirement 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 Retirement mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dimensional Retirement Lagged Returns
When evaluating Dimensional Retirement's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional Retirement mutual fund have on its future price. Dimensional Retirement 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 Retirement autocorrelation shows the relationship between Dimensional Retirement mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dimensional Retirement Income.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Dimensional Retirement Correlation, Dimensional Retirement Volatility and Dimensional Retirement Alpha and Beta module to complement your research on Dimensional Retirement. Note that the Dimensional Retirement information on this page should be used as a complementary analysis to other Dimensional Retirement'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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Dimensional Retirement 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.