Exelon Stock Forecast - Naive Prediction

EXC Stock  USD 38.91  0.40  1.02%   
The Naive Prediction forecasted value of Exelon on the next trading day is expected to be 40.18 with a mean absolute deviation of 0.43 and the sum of the absolute errors of 26.37. 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 Asset Turnover is projected to slightly decrease based on the last few years of reporting. . As of November 22, 2024, 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.

Exelon Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Exelon's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
1994-03-31
Previous Quarter
1.5 B
Current Value
1.2 B
Quarterly Volatility
1.2 B
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Exelon is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Exelon value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Exelon Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of Exelon on the next trading day is expected to be 40.18 with a mean absolute deviation of 0.43, mean absolute percentage error of 0.27, and the sum of the absolute errors of 26.37.
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

Backtest ExelonExelon Price PredictionBuy or Sell Advice 

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 39.16 and 41.21, 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
38.91
40.18
Expected Value
41.21
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria116.8034
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4323
MAPEMean absolute percentage error0.011
SAESum of the absolute errors26.3694
This model is not at all useful as a medium-long range forecasting tool of Exelon. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Exelon. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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
38.3139.3340.35
Details
Intrinsic
Valuation
LowRealHigh
35.3841.8342.85
Details
Bollinger
Band Projection (param)
LowMiddleHigh
37.2038.8540.50
Details
20 Analysts
Consensus
LowTargetHigh
40.4744.4749.36
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.

Exelon 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 Exelon stock to make a market-neutral strategy. Peer analysis of Exelon could also be used in its relative valuation, which is a method of valuing Exelon by comparing valuation metrics with similar companies.
 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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
2.43
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.