Dfa Small Fund Market Value
| DSCGX Fund | USD 29.12 0.39 1.36% |
| Symbol | Dfa |
Dfa Small '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 Small'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 Small.
| 01/16/2023 |
| 01/05/2025 |
If you would invest 0.00 in Dfa Small on January 16, 2023 and sell it all today you would earn a total of 0.00 from holding Dfa Small or generate 0.0% return on investment in Dfa Small over 720 days. Dfa Small is related to or competes with Dfa -, Dfa -, Dfa -, Us Large, and Dfa Real. The Portfolio, using a market capitalization weighted approach, purchases a broad and diverse group of readily marketabl... More
Dfa Small 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 Small'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 Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.0071 | |||
| Maximum Drawdown | 8.41 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 1.68 |
Dfa Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dfa Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dfa Small's standard deviation. In reality, there are many statistical measures that can use Dfa Small historical prices to predict the future Dfa Small's volatility.| Risk Adjusted Performance | 0.0247 | |||
| Jensen Alpha | 0.0159 | |||
| Total Risk Alpha | 0.0033 | |||
| Sortino Ratio | 0.0076 | |||
| Treynor Ratio | 0.0569 |
Dfa Small Backtested Returns
At this stage we consider Dfa Mutual Fund to be very steady. Dfa Small secures Sharpe Ratio (or Efficiency) of 0.034, which denotes the fund had a 0.034% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Dfa Small, which you can use to evaluate the volatility of the entity. Please confirm Dfa Small's Downside Deviation of 1.04, mean deviation of 0.7848, and Semi Deviation of 1.01 to check if the risk estimate we provide is consistent with the expected return of 0.0381%. The fund shows a Beta (market volatility) of 0.36, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dfa Small's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dfa Small is expected to be smaller as well.
Auto-correlation | 0.28 |
Poor predictability
Dfa Small has poor predictability. Overlapping area represents the amount of predictability between Dfa Small time series from 16th of January 2023 to 11th of January 2024 and 11th of January 2024 to 5th 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 Dfa Small price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Dfa Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.28 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 2.68 |
Dfa Small lagged returns against current returns
Autocorrelation, which is Dfa Small 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 Small's mutual fund expected returns. We can calculate the autocorrelation of Dfa Small returns to help us make a trade decision. For example, suppose you find that Dfa Small 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 Small 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 Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dfa Small 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 Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dfa Small Lagged Returns
When evaluating Dfa Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dfa Small mutual fund have on its future price. Dfa Small 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 Small autocorrelation shows the relationship between Dfa Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dfa Small.
Regressed Prices |
| Timeline |
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Other Information on Investing in Dfa Mutual Fund
Dfa Small 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 Small security.
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