Dimensional Core Equity Etf Market Value
| DFAC Etf | USD 30.37 0.28 0.93% |
| Symbol | Dimensional |
The market value of Dimensional Core Equity 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 Core's value that differs from its market value or its book value, called intrinsic value, which is Dimensional Core'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 Core's market value can be influenced by many factors that don't directly affect Dimensional Core'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 Core's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dimensional Core is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dimensional Core'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 Core '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 Core'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 Core.
| 01/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Dimensional Core on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding Dimensional Core Equity or generate 0.0% return on investment in Dimensional Core over 90 days. Dimensional Core is related to or competes with Dimensional Targeted, Dimensional World, Dimensional Small, Dimensional Core, and Dimensional Equity. The fund is designed to purchase a broad and diverse group of securities of U.S More
Dimensional Core 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 Core'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 Core Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7903 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.13 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 1.18 |
Dimensional Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Core's standard deviation. In reality, there are many statistical measures that can use Dimensional Core historical prices to predict the future Dimensional Core's volatility.| Risk Adjusted Performance | 0.0712 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0658 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Core'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 Core Equity Backtested Returns
We consider Dimensional Core very steady. Dimensional Core Equity secures Sharpe Ratio (or Efficiency) of 0.0805, which denotes the etf had a 0.0805% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dimensional Core Equity, which you can use to evaluate the volatility of the entity. Please confirm Dimensional Core's Coefficient Of Variation of 885.4, mean deviation of 0.5909, and Downside Deviation of 0.7903 to check if the risk estimate we provide is consistent with the expected return of 0.0601%. The etf shows a Beta (market volatility) of 1.12, which means a somewhat significant risk relative to the market. Dimensional Core returns are very sensitive to returns on the market. As the market goes up or down, Dimensional Core is expected to follow.
Auto-correlation | -0.55 |
Good reverse predictability
Dimensional Core Equity has good reverse predictability. Overlapping area represents the amount of predictability between Dimensional Core time series from 24th of January 2024 to 9th of March 2024 and 9th of March 2024 to 23rd 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 Dimensional Core Equity price movement. The serial correlation of -0.55 indicates that about 55.0% of current Dimensional Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.28 |
Dimensional Core Equity lagged returns against current returns
Autocorrelation, which is Dimensional Core 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 Core's etf expected returns. We can calculate the autocorrelation of Dimensional Core returns to help us make a trade decision. For example, suppose you find that Dimensional Core 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 Core 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 Core etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional Core etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dimensional Core etf over time.
Current vs Lagged Prices |
| Timeline |
Dimensional Core Lagged Returns
When evaluating Dimensional Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional Core etf have on its future price. Dimensional Core 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 Core autocorrelation shows the relationship between Dimensional Core etf current value and its past values and can show if there is a momentum factor associated with investing in Dimensional Core Equity.
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 Core 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 Core's short interest history, or implied volatility extrapolated from Dimensional Core options trading.
Pair Trading with Dimensional Core
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 Core 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 Core will appreciate offsetting losses from the drop in the long position's value.Moving together with Dimensional Etf
| 1.0 | VTI | Vanguard Total Stock | PairCorr |
| 0.96 | SPY | SPDR SP 500 | PairCorr |
| 0.99 | IVV | iShares Core SP | PairCorr |
| 0.92 | VIG | Vanguard Dividend | PairCorr |
| 0.96 | VV | Vanguard Large Cap | PairCorr |
The ability to find closely correlated positions to Dimensional Core 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 Core 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 Core - 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 Core Equity to buy it.
The correlation of Dimensional Core 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 Core moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dimensional Core Equity 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 Core 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 Core Correlation, Dimensional Core Volatility and Dimensional Core Alpha and Beta module to complement your research on Dimensional Core. Note that the Dimensional Core Equity information on this page should be used as a complementary analysis to other Dimensional Core'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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Dimensional Core 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.