EXELON Forecast - Simple Moving Average

30161NAN1   97.02  2.28  2.30%   
The Simple Moving Average forecasted value of EXELON P 395 on the next trading day is expected to be 97.02 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 11.77. EXELON Bond 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 P 395'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.
  
A two period moving average forecast for EXELON is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

EXELON Simple Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the Simple Moving Average forecasted value of EXELON P 395 on the next trading day is expected to be 97.02 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.21, and the sum of the absolute errors of 11.77.
Please note that although there have been many attempts to predict EXELON Bond 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 Bond Forecast Pattern

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EXELON Forecasted Value

In the context of forecasting EXELON's Bond 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 96.71 and 97.33, 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
97.02
97.02
Expected Value
97.33
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of EXELON bond data series using in forecasting. Note that when a statistical model is used to represent EXELON bond, 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 Criteria114.7336
BiasArithmetic mean of the errors 0.0537
MADMean absolute deviation0.1962
MAPEMean absolute percentage error0.002
SAESum of the absolute errors11.77
The simple moving average model is conceptually a linear regression of the current value of EXELON P 395 price series against current and previous (unobserved) value of EXELON. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

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 P 5. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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
96.7197.0297.33
Details
Intrinsic
Valuation
LowRealHigh
96.2496.55106.72
Details
Bollinger
Band Projection (param)
LowMiddleHigh
96.0298.42100.83
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 Bond 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 bond 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 P 5 Technical and Predictive Analytics

The bond 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 bond 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 bond market strength indicators, traders can identify EXELON P 395 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 bond 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. One of the essential factors to consider when estimating the risk of default for a bond instrument is its duration, which is the bond's price sensitivity to changes in interest rates. The duration of EXELON P 395 bond is primarily affected by its yield, coupon rate, and time to maturity. The duration of a bond will be higher the lower its coupon, lower its yield, and longer the time left to maturity.
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.

Other Information on Investing in EXELON Bond

EXELON financial ratios help investors to determine whether EXELON Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in EXELON with respect to the benefits of owning EXELON security.