Excelerate Energy Stock Forecast - Simple Regression

EE Stock  USD 30.42  0.93  3.15%   
The Simple Regression forecasted value of Excelerate Energy on the next trading day is expected to be 28.38 with a mean absolute deviation of 0.88 and the sum of the absolute errors of 53.51. Excelerate Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Excelerate Energy stock prices and determine the direction of Excelerate Energy's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Excelerate Energy's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Excelerate Energy's Payables Turnover is projected to increase significantly based on the last few years of reporting. The current year's Fixed Asset Turnover is expected to grow to 1.26, whereas Receivables Turnover is forecasted to decline to 8.96. . The current year's Common Stock Shares Outstanding is expected to grow to about 33.7 M, whereas Net Income Applicable To Common Shares is forecasted to decline to about 11.4 M.
Simple Regression model is a single variable regression model that attempts to put a straight line through Excelerate Energy 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.

Excelerate Energy Simple Regression Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Regression forecasted value of Excelerate Energy on the next trading day is expected to be 28.38 with a mean absolute deviation of 0.88, mean absolute percentage error of 1.16, and the sum of the absolute errors of 53.51.
Please note that although there have been many attempts to predict Excelerate 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 Excelerate Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Excelerate Energy Stock Forecast Pattern

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Excelerate Energy Forecasted Value

In the context of forecasting Excelerate Energy'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. Excelerate Energy's downside and upside margins for the forecasting period are 25.45 and 31.32, respectively. We have considered Excelerate Energy'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
30.42
28.38
Expected Value
31.32
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 Excelerate Energy stock data series using in forecasting. Note that when a statistical model is used to represent Excelerate Energy 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 Criteria118.2587
BiasArithmetic mean of the errors None
MADMean absolute deviation0.8773
MAPEMean absolute percentage error0.0376
SAESum of the absolute errors53.5141
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 Excelerate Energy 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 Excelerate Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Excelerate Energy. 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 Excelerate Energy'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
27.4830.4233.36
Details
Intrinsic
Valuation
LowRealHigh
19.9822.9233.46
Details
Bollinger
Band Projection (param)
LowMiddleHigh
20.9125.9430.96
Details
10 Analysts
Consensus
LowTargetHigh
25.7828.3331.45
Details

Other Forecasting Options for Excelerate Energy

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

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

Excelerate Energy 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 Excelerate Energy'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 Excelerate Energy's current price.

Excelerate Energy Market Strength Events

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

Excelerate Energy Risk Indicators

The analysis of Excelerate Energy'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 Excelerate Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting excelerate 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.
Check out Historical Fundamental Analysis of Excelerate Energy to cross-verify your projections.
For information on how to trade Excelerate Stock refer to our How to Trade Excelerate Stock guide.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Is Oil & Gas Storage & Transportation 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 Excelerate Energy. If investors know Excelerate 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 Excelerate Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.13)
Dividend Share
0.135
Earnings Share
1
Revenue Per Share
31.848
Quarterly Revenue Growth
(0.30)
The market value of Excelerate Energy is measured differently than its book value, which is the value of Excelerate that is recorded on the company's balance sheet. Investors also form their own opinion of Excelerate Energy's value that differs from its market value or its book value, called intrinsic value, which is Excelerate Energy'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 Excelerate Energy's market value can be influenced by many factors that don't directly affect Excelerate Energy'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 Excelerate Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Excelerate Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Excelerate Energy'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.