Exelon Stock Forecast - Simple Regression

EXC Stock  USD 39.42  0.08  0.20%   
The Simple Regression forecasted value of Exelon on the next trading day is expected to be 37.39 with a mean absolute deviation of 0.71 and the sum of the absolute errors of 43.42. Exelon Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Exelon stock prices and determine the direction of Exelon's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Exelon's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Exelon's Receivables Turnover is projected to drop slightly based on the last few years of reporting. The current year's Fixed Asset Turnover is expected to grow to 0.67, whereas Inventory Turnover is forecasted to decline to 8.78. . As of January 18, 2025, Common Stock Shares Outstanding is expected to decline to about 710.4 M. In addition to that, Net Income Applicable To Common Shares is expected to decline to about 2.1 B.

Open Interest Against 2025-04-17 Exelon Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Exelon'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 Exelon's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Exelon 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 Exelon's open interest, investors have to compare it to Exelon'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 Exelon 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 Exelon. 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Exelon 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.

Exelon Simple Regression Price Forecast For the 19th of January

Given 90 days horizon, the Simple Regression forecasted value of Exelon on the next trading day is expected to be 37.39 with a mean absolute deviation of 0.71, mean absolute percentage error of 0.77, and the sum of the absolute errors of 43.42.
Please note that although there have been many attempts to predict Exelon 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 Exelon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Exelon Stock Forecast Pattern

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Exelon Forecasted Value

In the context of forecasting Exelon'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. Exelon's downside and upside margins for the forecasting period are 36.24 and 38.54, respectively. We have considered Exelon'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
39.42
37.39
Expected Value
38.54
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 Exelon stock data series using in forecasting. Note that when a statistical model is used to represent Exelon 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 Criteria117.8428
BiasArithmetic mean of the errors None
MADMean absolute deviation0.7118
MAPEMean absolute percentage error0.0186
SAESum of the absolute errors43.4201
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 Exelon 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 Exelon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Exelon. 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 Exelon'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
38.2739.4240.57
Details
Intrinsic
Valuation
LowRealHigh
35.4840.7341.88
Details
20 Analysts
Consensus
LowTargetHigh
38.7742.6147.30
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.600.610.62
Details

Other Forecasting Options for Exelon

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

View Exelon Related Equities

 Risk & Return  Correlation

Exelon 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 Exelon'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 Exelon's current price.

Exelon Market Strength Events

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

Exelon Risk Indicators

The analysis of Exelon'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 Exelon's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting exelon 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 Exelon offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Exelon'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 Exelon Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Exelon Stock:
Check out Historical Fundamental Analysis of Exelon to cross-verify your projections.
For information on how to trade Exelon Stock refer to our How to Trade Exelon Stock guide.
You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Is Electric Utilities 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 Exelon. If investors know Exelon 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 Exelon listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Dividend Share
1.5
Earnings Share
2.44
Revenue Per Share
22.913
Quarterly Revenue Growth
0.029
Return On Assets
0.026
The market value of Exelon is measured differently than its book value, which is the value of Exelon that is recorded on the company's balance sheet. Investors also form their own opinion of Exelon's value that differs from its market value or its book value, called intrinsic value, which is Exelon'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 Exelon's market value can be influenced by many factors that don't directly affect Exelon'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 Exelon's value and its price as these two are different measures arrived at by different means. Investors typically determine if Exelon is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Exelon'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.