Chevron Stock Forecast - Polynomial Regression

CHV Stock  EUR 142.98  4.88  3.53%   
The Polynomial Regression forecasted value of Chevron on the next trading day is expected to be 130.19 with a mean absolute deviation of 2.29 and the sum of the absolute errors of 141.69. Chevron Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Chevron's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Chevron polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Chevron as well as the accuracy indicators are determined from the period prices.

Chevron Polynomial Regression Price Forecast For the 4th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Chevron on the next trading day is expected to be 130.19 with a mean absolute deviation of 2.29, mean absolute percentage error of 9.96, and the sum of the absolute errors of 141.69.
Please note that although there have been many attempts to predict Chevron 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 Chevron's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chevron Stock Forecast Pattern

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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 Chevron stock data series using in forecasting. Note that when a statistical model is used to represent Chevron 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 Criteria122.2466
BiasArithmetic mean of the errors None
MADMean absolute deviation2.2853
MAPEMean absolute percentage error0.0159
SAESum of the absolute errors141.6896
A single variable polynomial regression model attempts to put a curve through the Chevron 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 Chevron

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chevron. 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
141.47142.98144.49
Details
Intrinsic
Valuation
LowRealHigh
115.18116.69157.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
132.24142.54152.84
Details

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

Chevron Market Strength Events

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

Chevron Risk Indicators

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

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Other Information on Investing in Chevron Stock

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