Dimensional Global Core Etf Market Value
| DFGP Etf | 53.94 0.06 0.11% |
| Symbol | Dimensional |
The market value of Dimensional Global Core 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 Global's value that differs from its market value or its book value, called intrinsic value, which is Dimensional Global'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 Global's market value can be influenced by many factors that don't directly affect Dimensional Global'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 Global's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dimensional Global is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dimensional Global'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 Global '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 Global'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 Global.
| 12/28/2022 |
| 12/17/2024 |
If you would invest 0.00 in Dimensional Global on December 28, 2022 and sell it all today you would earn a total of 0.00 from holding Dimensional Global Core or generate 0.0% return on investment in Dimensional Global over 720 days. Dimensional Global is related to or competes with Vanguard Total, Vanguard Total, Vanguard Emerging, Vanguard Short, and Vanguard FTSE. Dimensional Global is entity of United States More
Dimensional Global 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 Global'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 Global Core upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.38) | |||
| Maximum Drawdown | 1.23 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.407 |
Dimensional Global Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Global's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Global's standard deviation. In reality, there are many statistical measures that can use Dimensional Global historical prices to predict the future Dimensional Global's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.44) |
Dimensional Global Core Backtested Returns
Dimensional Global Core secures Sharpe Ratio (or Efficiency) of -0.0439, which denotes the etf had a -0.0439% return per unit of risk over the last 3 months. Dimensional Global Core exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dimensional Global's Standard Deviation of 0.253, mean deviation of 0.1817, and Variance of 0.064 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.0453, which means not very significant fluctuations relative to the market. As returns on the market increase, Dimensional Global's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dimensional Global is expected to be smaller as well.
Auto-correlation | -0.25 |
Weak reverse predictability
Dimensional Global Core has weak reverse predictability. Overlapping area represents the amount of predictability between Dimensional Global time series from 28th of December 2022 to 23rd of December 2023 and 23rd of December 2023 to 17th of December 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 Global Core price movement. The serial correlation of -0.25 indicates that over 25.0% of current Dimensional Global price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Dimensional Global Core lagged returns against current returns
Autocorrelation, which is Dimensional Global 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 Global's etf expected returns. We can calculate the autocorrelation of Dimensional Global returns to help us make a trade decision. For example, suppose you find that Dimensional Global 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 Global 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 Global etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional Global etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dimensional Global etf over time.
Current vs Lagged Prices |
| Timeline |
Dimensional Global Lagged Returns
When evaluating Dimensional Global's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional Global etf have on its future price. Dimensional Global 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 Global autocorrelation shows the relationship between Dimensional Global etf current value and its past values and can show if there is a momentum factor associated with investing in Dimensional Global Core.
Regressed Prices |
| Timeline |
Pair Trading with Dimensional Global
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 Global 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 Global will appreciate offsetting losses from the drop in the long position's value.Moving together with Dimensional Etf
| 0.68 | IAGG | iShares Core Interna | PairCorr |
| 0.98 | BNDW | Vanguard Total World | PairCorr |
| 0.9 | BGRN | iShares USD Green | PairCorr |
| 0.74 | FLIA | Franklin Liberty Int | PairCorr |
| 0.8 | PMBS | PIMCO Mortgage Backed | PairCorr |
The ability to find closely correlated positions to Dimensional Global 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 Global 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 Global - 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 Global Core to buy it.
The correlation of Dimensional Global 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 Global moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dimensional Global Core 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 Global 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 Global Correlation, Dimensional Global Volatility and Dimensional Global Alpha and Beta module to complement your research on Dimensional Global. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Dimensional Global 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.