Chevron Stock Forecast - Double Exponential Smoothing

CHVX34 Stock  BRL 83.86  0.16  0.19%   
The Double Exponential Smoothing forecasted value of Chevron on the next trading day is expected to be 84.08 with a mean absolute deviation of 0.75 and the sum of the absolute errors of 44.02. Chevron Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Chevron stock prices and determine the direction of Chevron's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Chevron's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Most investors in Chevron cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Chevron's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Chevron's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Chevron works best with periods where there are trends or seasonality.

Chevron Double Exponential Smoothing Price Forecast For the 13th of June 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Chevron on the next trading day is expected to be 84.08 with a mean absolute deviation of 0.75, mean absolute percentage error of 0.93, and the sum of the absolute errors of 44.02.
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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Chevron Forecasted Value

In the context of forecasting Chevron'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. Chevron's downside and upside margins for the forecasting period are 82.93 and 85.23, respectively. We have considered Chevron'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
83.86
84.08
Expected Value
85.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing 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 CriteriaHuge
BiasArithmetic mean of the errors 0.1088
MADMean absolute deviation0.7461
MAPEMean absolute percentage error0.0091
SAESum of the absolute errors44.02
When Chevron prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Chevron trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Chevron observations are given relatively more weight in forecasting than the older observations.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chevron'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
82.7183.8685.01
Details
Intrinsic
Valuation
LowRealHigh
81.2182.3692.25
Details
Bollinger
Band Projection (param)
LowMiddleHigh
79.8082.2184.62
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Chevron. Your research has to be compared to or analyzed against Chevron's peers to derive any actionable benefits. When done correctly, Chevron's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Chevron.

Other Forecasting Options for Chevron

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

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 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 Chevron'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 Chevron's current price.

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.

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 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.