Dfa Short Term Government Fund Market Value
| DFFGX Fund | USD 9.96 0.01 0.10% |
| Symbol | Dfa |
Dfa Short '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 Short'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 Short.
| 03/30/2024 |
| 04/29/2024 |
If you would invest 0.00 in Dfa Short on March 30, 2024 and sell it all today you would earn a total of 0.00 from holding Dfa Short Term Government or generate 0.0% return on investment in Dfa Short over 30 days. Dfa Short is related to or competes with Prudential Jennison, Franklin Mutual, Gabelli Global, John Hancock, Icon Financial, and Transamerica Financial. The fund seeks to maximize total returns from a universe of obligations of the U.S More
Dfa Short 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 Short'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 Short Term Government upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.63) | |||
| Maximum Drawdown | 0.1018 | |||
| Potential Upside | 0.1015 |
Dfa Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dfa Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dfa Short's standard deviation. In reality, there are many statistical measures that can use Dfa Short historical prices to predict the future Dfa Short's volatility.| Risk Adjusted Performance | 0.1816 | |||
| Jensen Alpha | 0.0123 | |||
| Total Risk Alpha | 0.0062 | |||
| Treynor Ratio | (1.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dfa Short'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 Short Term Backtested Returns
We consider Dfa Short very steady. Dfa Short Term secures Sharpe Ratio (or Efficiency) of 0.51, which denotes the fund had a 0.51% return per unit of standard deviation over the last 3 months. We have found twenty technical indicators for Dfa Short Term Government, which you can use to evaluate the volatility of the entity. Please confirm Dfa Short's Mean Deviation of 0.0338, coefficient of variation of 194.2, and Standard Deviation of 0.0417 to check if the risk estimate we provide is consistent with the expected return of 0.0209%. The fund shows a Beta (market volatility) of -0.0112, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Dfa Short are expected to decrease at a much lower rate. During the bear market, Dfa Short is likely to outperform the market.
Auto-correlation | 0.76 |
Good predictability
Dfa Short Term Government has good predictability. Overlapping area represents the amount of predictability between Dfa Short time series from 30th of March 2024 to 14th of April 2024 and 14th of April 2024 to 29th 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 Dfa Short Term price movement. The serial correlation of 0.76 indicates that around 76.0% of current Dfa Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dfa Short Term lagged returns against current returns
Autocorrelation, which is Dfa Short 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 Short's mutual fund expected returns. We can calculate the autocorrelation of Dfa Short returns to help us make a trade decision. For example, suppose you find that Dfa Short 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 Short 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 Short mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dfa Short 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 Short mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dfa Short Lagged Returns
When evaluating Dfa Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dfa Short mutual fund have on its future price. Dfa Short 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 Short autocorrelation shows the relationship between Dfa Short mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dfa Short Term Government.
Regressed Prices |
| Timeline |
Pair Trading with Dfa Short
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 Dfa Short 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 Dfa Short will appreciate offsetting losses from the drop in the long position's value.Moving together with Dfa Mutual Fund
| 0.84 | DISVX | Dfa International Small | PairCorr |
Moving against Dfa Mutual Fund
| 0.59 | DOGMX | Dfa Oregon Municipal | PairCorr |
The ability to find closely correlated positions to Dfa Short could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dfa Short 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 Dfa Short - 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 Dfa Short Term Government to buy it.
The correlation of Dfa Short 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 Dfa Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dfa Short Term 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 Dfa Short 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 Dfa Short Correlation, Dfa Short Volatility and Dfa Short Alpha and Beta module to complement your research on Dfa Short. Note that the Dfa Short Term information on this page should be used as a complementary analysis to other Dfa Short'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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Dfa Short 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.