Dimensional Core Etf Forecast - Simple Regression

DFAC Etf  USD 40.62  0.13  0.32%   
The Simple Regression forecasted value of Dimensional Core Equity on the next trading day is expected to be 40.65 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.59. Dimensional Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Dimensional Core stock prices and determine the direction of Dimensional Core Equity's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Dimensional Core's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time the relative strength momentum indicator of Dimensional Core's share price is below 20 suggesting that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Dimensional Core's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Dimensional Core Equity, which may create opportunities for some arbitrage if properly timed.
Using Dimensional Core hype-based prediction, you can estimate the value of Dimensional Core Equity from the perspective of Dimensional Core response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Dimensional Core using Dimensional Core's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Dimensional using crowd psychology based on the activity and movement of Dimensional Core's stock price.

Dimensional Core Implied Volatility

    
  0.17  
Dimensional Core's implied volatility exposes the market's sentiment of Dimensional Core Equity stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Dimensional Core's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Dimensional Core stock will not fluctuate a lot when Dimensional Core's options are near their expiration.
The Simple Regression forecasted value of Dimensional Core Equity on the next trading day is expected to be 40.65 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.59.

Dimensional Core after-hype prediction price

    
  USD 40.75  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Dimensional Core to cross-verify your projections.

Prediction based on Rule 16 of the current Dimensional contract

Based on the Rule 16, the options market is currently suggesting that Dimensional Core Equity will have an average daily up or down price movement of about 0.0106% per day over the life of the 2026-03-20 option contract. With Dimensional Core trading at USD 40.62, that is roughly USD 0.004316 . If you think that the market is fully incorporating Dimensional Core's daily price movement you should consider acquiring Dimensional Core Equity options at the current volatility level of 0.17%. But if you have an opposite viewpoint you should avoid it and even consider selling them.

Open Interest Against 2026-03-20 Dimensional Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Dimensional Core's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Dimensional Core's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Dimensional Core stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Dimensional Core's open interest, investors have to compare it to Dimensional Core's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Dimensional Core is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Dimensional. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Dimensional Core Additional Predictive Modules

Most predictive techniques to examine Dimensional price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Dimensional using various technical indicators. When you analyze Dimensional charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Simple Regression model is a single variable regression model that attempts to put a straight line through Dimensional Core price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Dimensional Core Simple Regression Price Forecast For the 24th of January

Given 90 days horizon, the Simple Regression forecasted value of Dimensional Core Equity on the next trading day is expected to be 40.65 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.22, and the sum of the absolute errors of 20.59.
Please note that although there have been many attempts to predict Dimensional Etf prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Dimensional Core's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dimensional Core Etf Forecast Pattern

Backtest Dimensional CoreDimensional Core Price PredictionBuy or Sell Advice 

Dimensional Core Forecasted Value

In the context of forecasting Dimensional Core's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Dimensional Core's downside and upside margins for the forecasting period are 39.90 and 41.40, respectively. We have considered Dimensional Core's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
40.62
40.65
Expected Value
41.40
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Dimensional Core etf data series using in forecasting. Note that when a statistical model is used to represent Dimensional Core etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria116.5875
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3376
MAPEMean absolute percentage error0.0086
SAESum of the absolute errors20.5926
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Dimensional Core Equity historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Dimensional Core

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dimensional Core Equity. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
40.0040.7541.50
Details
Intrinsic
Valuation
LowRealHigh
39.5940.3441.09
Details
Bollinger
Band Projection (param)
LowMiddleHigh
38.9939.9740.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Dimensional Core. Your research has to be compared to or analyzed against Dimensional Core's peers to derive any actionable benefits. When done correctly, Dimensional Core's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Dimensional Core Equity.

Dimensional Core After-Hype Price Prediction Density Analysis

As far as predicting the price of Dimensional Core at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Dimensional Core or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Etf prices, such as prices of Dimensional Core, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Dimensional Core Estimiated After-Hype Price Volatility

In the context of predicting Dimensional Core's etf value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Dimensional Core's historical news coverage. Dimensional Core's after-hype downside and upside margins for the prediction period are 40.00 and 41.50, respectively. We have considered Dimensional Core's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
40.62
40.75
After-hype Price
41.50
Upside
Dimensional Core is very steady at this time. Analysis and calculation of next after-hype price of Dimensional Core Equity is based on 3 months time horizon.

Dimensional Core Etf Price Prediction Analysis

Have you ever been surprised when a price of a ETF such as Dimensional Core is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Dimensional Core backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Etf price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Dimensional Core, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.06 
0.75
 0.00  
  0.02 
22 Events / Month
4 Events / Month
In about 22 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
40.62
40.75
0.00 
7,500  
Notes

Dimensional Core Hype Timeline

Dimensional Core Equity is currently traded for 40.62. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. Dimensional is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.06%. %. The volatility of related hype on Dimensional Core is about 264.08%, with the expected price after the next announcement by competition of 40.64. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 22 days.
Check out Historical Fundamental Analysis of Dimensional Core to cross-verify your projections.

Dimensional Core Related Hype Analysis

Having access to credible news sources related to Dimensional Core's direct competition is more important than ever and may enhance your ability to predict Dimensional Core's future price movements. Getting to know how Dimensional Core's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Dimensional Core may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
DISVDimensional ETF Trust(0.12)7 per month 0.44  0.14  1.23 (1.19) 2.57 
XTiShares Exponential Technologies 0.08 5 per month 0.88 (0) 1.27 (1.73) 4.21 
SUSAiShares MSCI USA 0.91 2 per month 0.76 (0.04) 1.16 (1.20) 3.60 
IYRiShares Real Estate(0.14)4 per month 0.00 (0.13) 1.18 (1.22) 3.58 
FMDEFidelity Covington Trust 0.28 1 per month 0.71 (0.0006) 1.29 (1.51) 3.70 
FVFirst Trust Dorsey 0.35 5 per month 0.76  0.05  1.58 (1.49) 3.25 
TDIVFirst Trust NASDAQ 0.00 0 per month 0.00 (0.1) 1.50 (2.38) 5.22 
PTLCPacer Trendpilot Large 0.36 2 per month 0.77 (0.06) 1.18 (1.17) 3.58 
DONWisdomTree MidCap Dividend 0.93 7 per month 0.52  0.01  1.64 (1.04) 3.52 
FEZSPDR EURO STOXX 0.19 3 per month 0.67 (0.01) 1.22 (1.25) 3.56 

Other Forecasting Options for Dimensional Core

For every potential investor in Dimensional, whether a beginner or expert, Dimensional Core's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dimensional Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dimensional. Basic forecasting techniques help filter out the noise by identifying Dimensional Core's price trends.

Dimensional Core Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Dimensional Core etf to make a market-neutral strategy. Peer analysis of Dimensional Core could also be used in its relative valuation, which is a method of valuing Dimensional Core by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Dimensional Core Market Strength Events

Market strength indicators help investors to evaluate how Dimensional Core etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dimensional Core shares will generate the highest return on investment. By undertsting and applying Dimensional Core etf market strength indicators, traders can identify Dimensional Core Equity entry and exit signals to maximize returns.

Dimensional Core Risk Indicators

The analysis of Dimensional Core's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Dimensional Core's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dimensional etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Dimensional Core

The number of cover stories for Dimensional Core depends on current market conditions and Dimensional Core's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Dimensional Core is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Dimensional Core's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
When determining whether Dimensional Core Equity 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 Core Equity Etf. Highlighted below are key reports to facilitate an investment decision about Dimensional Core Equity Etf:
Check out Historical Fundamental Analysis of Dimensional Core to cross-verify your projections.
You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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.