Exxon Stock Forecast - Polynomial Regression

XOM Stock   22.13  0.12  0.54%   
The Polynomial Regression forecasted value of EXXON MOBIL CDR on the next trading day is expected to be 22.38 with a mean absolute deviation of 0.34 and the sum of the absolute errors of 20.81. Exxon Stock Forecast is based on your current time horizon.
  
Exxon polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for EXXON MOBIL CDR as well as the accuracy indicators are determined from the period prices.

Exxon Polynomial Regression Price Forecast For the 1st of December

Given 90 days horizon, the Polynomial Regression forecasted value of EXXON MOBIL CDR on the next trading day is expected to be 22.38 with a mean absolute deviation of 0.34, mean absolute percentage error of 0.18, and the sum of the absolute errors of 20.81.
Please note that although there have been many attempts to predict Exxon 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 Exxon's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Exxon Stock Forecast Pattern

Backtest ExxonExxon Price PredictionBuy or Sell Advice 

Exxon Forecasted Value

In the context of forecasting Exxon'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. Exxon's downside and upside margins for the forecasting period are 21.04 and 23.73, respectively. We have considered Exxon'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
22.13
22.38
Expected Value
23.73
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Exxon stock data series using in forecasting. Note that when a statistical model is used to represent Exxon 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 Criteria118.2554
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3357
MAPEMean absolute percentage error0.0153
SAESum of the absolute errors20.814
A single variable polynomial regression model attempts to put a curve through the Exxon historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Exxon

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EXXON MOBIL CDR. 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.
Hype
Prediction
LowEstimatedHigh
20.7922.1323.47
Details
Intrinsic
Valuation
LowRealHigh
20.2521.5922.93
Details
Bollinger
Band Projection (param)
LowMiddleHigh
21.8322.3822.93
Details

Other Forecasting Options for Exxon

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

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

EXXON MOBIL CDR 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 Exxon'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 Exxon's current price.

Exxon Market Strength Events

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

Exxon Risk Indicators

The analysis of Exxon'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 Exxon's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting exxon 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.

Pair Trading with Exxon

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Exxon position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Exxon will appreciate offsetting losses from the drop in the long position's value.

Moving together with Exxon Stock

  0.67ENB-PFV Enbridge Pref 5PairCorr
  0.71ENB-PFU Enbridge Pref LPairCorr

Moving against Exxon Stock

  0.39SAGE Sage Potash CorpPairCorr
The ability to find closely correlated positions to Exxon could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exxon when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Exxon - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling EXXON MOBIL CDR to buy it.
The correlation of Exxon is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Exxon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EXXON MOBIL CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Exxon can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Exxon Stock

Exxon financial ratios help investors to determine whether Exxon Stock 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 Exxon with respect to the benefits of owning Exxon security.