Dimensional Sustainability Core Etf Market Value

DFSU Etf  USD 39.07  0.25  0.64%   
Dimensional Sustainability's market value is the price at which a share of Dimensional Sustainability trades on a public exchange. It measures the collective expectations of Dimensional Sustainability Core investors about its performance. Dimensional Sustainability is selling for under 39.07 as of the 24th of November 2024; that is 0.64 percent increase since the beginning of the trading day. The etf's last reported lowest price was 38.87.
With this module, you can estimate the performance of a buy and hold strategy of Dimensional Sustainability Core and determine expected loss or profit from investing in Dimensional Sustainability over a given investment horizon. Check out Dimensional Sustainability Correlation, Dimensional Sustainability Volatility and Dimensional Sustainability Alpha and Beta module to complement your research on Dimensional Sustainability.
Symbol

The market value of Dimensional Sustainability 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 Sustainability's value that differs from its market value or its book value, called intrinsic value, which is Dimensional Sustainability'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 Sustainability's market value can be influenced by many factors that don't directly affect Dimensional Sustainability'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 Sustainability's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dimensional Sustainability is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dimensional Sustainability'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 Sustainability '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 Sustainability'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 Sustainability.
0.00
08/02/2023
No Change 0.00  0.0 
In 1 year 3 months and 25 days
11/24/2024
0.00
If you would invest  0.00  in Dimensional Sustainability on August 2, 2023 and sell it all today you would earn a total of 0.00 from holding Dimensional Sustainability Core or generate 0.0% return on investment in Dimensional Sustainability over 480 days. Dimensional Sustainability is related to or competes with Morningstar Unconstrained, High-yield Municipal, Via Renewables, Knife River, Klckner Co, CarMax, and SEI Investments. Dimensional Sustainability is entity of United States More

Dimensional Sustainability 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 Sustainability'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 Sustainability Core upside and downside potential and time the market with a certain degree of confidence.

Dimensional Sustainability Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Dimensional Sustainability's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dimensional Sustainability's standard deviation. In reality, there are many statistical measures that can use Dimensional Sustainability historical prices to predict the future Dimensional Sustainability's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dimensional Sustainability'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.
Hype
Prediction
LowEstimatedHigh
38.2039.0439.88
Details
Intrinsic
Valuation
LowRealHigh
37.7238.5639.40
Details
Naive
Forecast
LowNextHigh
37.6938.5339.36
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
38.7538.9939.22
Details

Dimensional Sustainability Backtested Returns

Currently, Dimensional Sustainability Core is very steady. Dimensional Sustainability secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the etf had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Dimensional Sustainability Core, which you can use to evaluate the volatility of the entity. Please confirm Dimensional Sustainability's Coefficient Of Variation of 644.54, mean deviation of 0.6063, and Downside Deviation of 0.8166 to check if the risk estimate we provide is consistent with the expected return of 0.11%. The etf shows a Beta (market volatility) of 1.0, which means possible diversification benefits within a given portfolio. Dimensional Sustainability returns are very sensitive to returns on the market. As the market goes up or down, Dimensional Sustainability is expected to follow.

Auto-correlation

    
  0.84  

Very good predictability

Dimensional Sustainability Core has very good predictability. Overlapping area represents the amount of predictability between Dimensional Sustainability time series from 2nd of August 2023 to 29th of March 2024 and 29th of March 2024 to 24th of November 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 Sustainability price movement. The serial correlation of 0.84 indicates that around 84.0% of current Dimensional Sustainability price fluctuation can be explain by its past prices.
Correlation Coefficient0.84
Spearman Rank Test0.79
Residual Average0.0
Price Variance3.18

Dimensional Sustainability lagged returns against current returns

Autocorrelation, which is Dimensional Sustainability 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 Sustainability's etf expected returns. We can calculate the autocorrelation of Dimensional Sustainability returns to help us make a trade decision. For example, suppose you find that Dimensional Sustainability 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 Sustainability 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 Sustainability etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dimensional Sustainability etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dimensional Sustainability etf over time.
   Current vs Lagged Prices   
       Timeline  

Dimensional Sustainability Lagged Returns

When evaluating Dimensional Sustainability's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dimensional Sustainability etf have on its future price. Dimensional Sustainability 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 Sustainability autocorrelation shows the relationship between Dimensional Sustainability etf current value and its past values and can show if there is a momentum factor associated with investing in Dimensional Sustainability Core.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Dimensional Sustainability is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Dimensional Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Dimensional Sustainability Core Etf. Highlighted below are key reports to facilitate an investment decision about Dimensional Sustainability Core Etf:
Check out Dimensional Sustainability Correlation, Dimensional Sustainability Volatility and Dimensional Sustainability Alpha and Beta module to complement your research on Dimensional Sustainability.
You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Dimensional Sustainability 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.
A focus of Dimensional Sustainability technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Dimensional Sustainability trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...