GEA Grenobl Stock Forecast - Simple Exponential Smoothing
| GEA Stock | EUR 78.50 3.50 4.67% |
The Simple Exponential Smoothing forecasted value of GEA Grenobl Elect on the next trading day is expected to be 78.50 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 27.00. GEA Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GEA Grenobl stock prices and determine the direction of GEA Grenobl Elect's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of GEA Grenobl's historical fundamentals, such as revenue growth or operating cash flow patterns.
GEA |
GEA Grenobl Simple Exponential Smoothing Price Forecast For the 12th of December 2024
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of GEA Grenobl Elect on the next trading day is expected to be 78.50 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.67, and the sum of the absolute errors of 27.00.Please note that although there have been many attempts to predict GEA 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 GEA Grenobl's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GEA Grenobl Stock Forecast Pattern
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GEA Grenobl Forecasted Value
In the context of forecasting GEA Grenobl'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. GEA Grenobl's downside and upside margins for the forecasting period are 76.53 and 80.47, respectively. We have considered GEA Grenobl'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of GEA Grenobl stock data series using in forecasting. Note that when a statistical model is used to represent GEA Grenobl 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.| AIC | Akaike Information Criteria | 117.7132 |
| Bias | Arithmetic mean of the errors | -0.0164 |
| MAD | Mean absolute deviation | 0.4426 |
| MAPE | Mean absolute percentage error | 0.0059 |
| SAE | Sum of the absolute errors | 27.0 |
Predictive Modules for GEA Grenobl
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GEA Grenobl Elect. 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.Other Forecasting Options for GEA Grenobl
For every potential investor in GEA, whether a beginner or expert, GEA Grenobl's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GEA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GEA. Basic forecasting techniques help filter out the noise by identifying GEA Grenobl's price trends.GEA Grenobl 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 GEA Grenobl stock to make a market-neutral strategy. Peer analysis of GEA Grenobl could also be used in its relative valuation, which is a method of valuing GEA Grenobl by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GEA Grenobl Elect 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 GEA Grenobl'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 GEA Grenobl's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GEA Grenobl Market Strength Events
Market strength indicators help investors to evaluate how GEA Grenobl stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GEA Grenobl shares will generate the highest return on investment. By undertsting and applying GEA Grenobl stock market strength indicators, traders can identify GEA Grenobl Elect entry and exit signals to maximize returns.
GEA Grenobl Risk Indicators
The analysis of GEA Grenobl'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 GEA Grenobl's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gea 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.
| Mean Deviation | 0.9122 | |||
| Semi Deviation | 0.4493 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.76 | |||
| Downside Variance | 1.15 | |||
| Semi Variance | 0.2019 | |||
| Expected Short fall | (3.20) |
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 GEA Stock
GEA Grenobl financial ratios help investors to determine whether GEA 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 GEA with respect to the benefits of owning GEA Grenobl security.