DBA Sempra Stock Forecast - 8 Period Moving Average

SREA Stock  USD 24.25  0.13  0.54%   
The 8 Period Moving Average forecasted value of DBA Sempra 5750 on the next trading day is expected to be 24.21 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 7.80. DBA Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast DBA Sempra stock prices and determine the direction of DBA Sempra 5750's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of DBA Sempra's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, DBA Sempra's Receivables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Asset Turnover is expected to grow to 0.36, whereas Inventory Turnover is forecasted to decline to 13.70. . As of November 25, 2024, Common Stock Shares Outstanding is expected to decline to about 320.8 M. In addition to that, Net Income Applicable To Common Shares is expected to decline to about 1.3 B.
An 8-period moving average forecast model for DBA Sempra is based on an artificially constructed time series of DBA Sempra daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

DBA Sempra 8 Period Moving Average Price Forecast For the 26th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of DBA Sempra 5750 on the next trading day is expected to be 24.21 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.05, and the sum of the absolute errors of 7.80.
Please note that although there have been many attempts to predict DBA Stock 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 DBA Sempra's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DBA Sempra Stock Forecast Pattern

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DBA Sempra Forecasted Value

In the context of forecasting DBA Sempra's Stock 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. DBA Sempra's downside and upside margins for the forecasting period are 23.65 and 24.77, respectively. We have considered DBA Sempra'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
24.25
24.21
Expected Value
24.77
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of DBA Sempra stock data series using in forecasting. Note that when a statistical model is used to represent DBA Sempra stock, 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 Criteria100.3267
BiasArithmetic mean of the errors 0.0448
MADMean absolute deviation0.1471
MAPEMean absolute percentage error0.006
SAESum of the absolute errors7.7962
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. DBA Sempra 5750 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for DBA Sempra

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DBA Sempra 5750. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DBA Sempra'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
23.5624.1224.68
Details
Intrinsic
Valuation
LowRealHigh
23.7824.3424.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
23.7224.3825.03
Details

Other Forecasting Options for DBA Sempra

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

DBA Sempra 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 DBA Sempra stock to make a market-neutral strategy. Peer analysis of DBA Sempra could also be used in its relative valuation, which is a method of valuing DBA Sempra by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

DBA Sempra 5750 Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of DBA Sempra's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of DBA Sempra's current price.

DBA Sempra Market Strength Events

Market strength indicators help investors to evaluate how DBA Sempra stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading DBA Sempra shares will generate the highest return on investment. By undertsting and applying DBA Sempra stock market strength indicators, traders can identify DBA Sempra 5750 entry and exit signals to maximize returns.

DBA Sempra Risk Indicators

The analysis of DBA Sempra'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 DBA Sempra's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dba stock 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether DBA Sempra 5750 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DBA Sempra's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Dba Sempra 5750 Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Dba Sempra 5750 Stock:
Check out Historical Fundamental Analysis of DBA Sempra to cross-verify your projections.
You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Is Diversified Capital Markets space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of DBA Sempra. If investors know DBA will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about DBA Sempra listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of DBA Sempra 5750 is measured differently than its book value, which is the value of DBA that is recorded on the company's balance sheet. Investors also form their own opinion of DBA Sempra's value that differs from its market value or its book value, called intrinsic value, which is DBA Sempra'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 DBA Sempra's market value can be influenced by many factors that don't directly affect DBA Sempra'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 DBA Sempra's value and its price as these two are different measures arrived at by different means. Investors typically determine if DBA Sempra is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DBA Sempra'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.