General Electric Stock Forecast - Double Exponential Smoothing

GEOO34 Stock  BRL 492.03  94.39  5.87%   
General Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast General Electric stock prices and determine the direction of General Electric's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of General Electric's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
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 General Electric works best with periods where there are trends or seasonality.

General Electric Double Exponential Smoothing Price Forecast For the 15th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of General Electric on the next trading day is expected to be 991.48 with a mean absolute deviation of 17.57, mean absolute percentage error of 647.88, and the sum of the absolute errors of 1,036.
Please note that although there have been many attempts to predict General 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 General Electric's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

General Electric Stock Forecast Pattern

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General Electric Forecasted Value

In the context of forecasting General Electric'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. General Electric's downside and upside margins for the forecasting period are 989.23 and 993.72, respectively. We have considered General Electric'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
1,002
989.23
Downside
991.48
Expected Value
993.72
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 General Electric stock data series using in forecasting. Note that when a statistical model is used to represent General Electric 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 3.9536
MADMean absolute deviation17.5657
MAPEMean absolute percentage error0.017
SAESum of the absolute errors1036.3755
When General Electric 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 General Electric 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 General Electric observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for General Electric

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as General Electric. 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
999.431,0021,004
Details
Intrinsic
Valuation
LowRealHigh
858.23860.471,102
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as General Electric. Your research has to be compared to or analyzed against General Electric's peers to derive any actionable benefits. When done correctly, General Electric'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 General Electric.

Other Forecasting Options for General Electric

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

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

General Electric 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 General Electric'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 General Electric's current price.

General Electric Market Strength Events

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

General Electric Risk Indicators

The analysis of General Electric'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 General Electric's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting general 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 General Stock

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