Dimensional Small Cap Etf Market Value
| DFAS Etf | USD 60.14 1.33 2.26% |
| Symbol | Dimensional |
The market value of Dimensional Small Cap is measured differently than its book value, which is the value of Dimensional that is recorded on the company's balance sheet. Investors also form their own opinion of Dimensional Small's value that differs from its market value or its book value, called intrinsic value, which is Dimensional Small's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Dimensional Small's market value can be influenced by many factors that don't directly affect Dimensional Small's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Dimensional Small's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dimensional Small is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dimensional Small's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Dimensional 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 Dimensional Small's etf 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 Small.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Dimensional Small on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Dimensional Small Cap or generate 0.0% return on investment in Dimensional Small over 90 days. Dimensional Small is related to or competes with Dimensional Targeted, Dimensional Equity, Dimensional Core, Dimensional International, and Dimensional Emerging. The fund, using a market capitalization weighted approach, is designed to generally purchase a broad and diverse group o... More
Dimensional 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 Dimensional Small's etf 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 Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 4.53 | |||
| Value At Risk | (2.34) | |||
| Potential Upside | 1.41 |
Dimensional Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Small's standard deviation. In reality, there are many statistical measures that can use Dimensional Small historical prices to predict the future Dimensional Small's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.24) |
Dimensional Small Cap Backtested Returns
Dimensional Small Cap secures Sharpe Ratio (or Efficiency) of -0.18, which denotes the etf had a -0.18 % return per unit of risk over the last 3 months. Dimensional Small Cap exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dimensional Small's Standard Deviation of 1.1, variance of 1.22, and Mean Deviation of 0.8359 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.94, which means possible diversification benefits within a given portfolio. Dimensional Small returns are very sensitive to returns on the market. As the market goes up or down, Dimensional Small is expected to follow.
Auto-correlation | -0.58 |
Good reverse predictability
Dimensional Small Cap has good reverse predictability. Overlapping area represents the amount of predictability between Dimensional Small time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Small Cap price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Dimensional Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 7.92 |
Dimensional Small Cap lagged returns against current returns
Autocorrelation, which is Dimensional Small etf'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 Small's etf expected returns. We can calculate the autocorrelation of Dimensional Small returns to help us make a trade decision. For example, suppose you find that Dimensional Small has exhibited high autocorrelation historically, and you observe that the etf 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 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 Dimensional Small etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional Small etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dimensional Small etf over time.
Current vs Lagged Prices |
| Timeline |
Dimensional Small Lagged Returns
When evaluating Dimensional Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional Small etf have on its future price. Dimensional 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, Dimensional Small autocorrelation shows the relationship between Dimensional Small etf current value and its past values and can show if there is a momentum factor associated with investing in Dimensional Small Cap.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Dimensional Small Correlation, Dimensional Small Volatility and Dimensional Small Alpha and Beta module to complement your research on Dimensional Small. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
Dimensional Small technical etf 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, etf market cycles, or different charting patterns.