Geberit AG Stock Forecast - 4 Period Moving Average

GBRF Stock  EUR 54.00  1.00  1.82%   
The 4 Period Moving Average forecasted value of Geberit AG on the next trading day is expected to be 54.75 with a mean absolute deviation of 0.79 and the sum of the absolute errors of 45.12. Geberit Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Geberit AG's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Geberit AG is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Geberit AG 4 Period Moving Average Price Forecast For the 22nd of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Geberit AG on the next trading day is expected to be 54.75 with a mean absolute deviation of 0.79, mean absolute percentage error of 1.06, and the sum of the absolute errors of 45.12.
Please note that although there have been many attempts to predict Geberit 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 Geberit AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Geberit AG Stock Forecast Pattern

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Geberit AG Forecasted Value

In the context of forecasting Geberit AG'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. Geberit AG's downside and upside margins for the forecasting period are 53.00 and 56.50, respectively. We have considered Geberit AG'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
54.00
54.75
Expected Value
56.50
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Geberit AG stock data series using in forecasting. Note that when a statistical model is used to represent Geberit AG 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 Criteria110.8178
BiasArithmetic mean of the errors 0.1732
MADMean absolute deviation0.7917
MAPEMean absolute percentage error0.0141
SAESum of the absolute errors45.125
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Geberit AG. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Geberit AG and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Geberit AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Geberit AG. 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
52.2554.0055.75
Details
Intrinsic
Valuation
LowRealHigh
53.5055.2557.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
54.1656.6759.19
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Geberit AG. Your research has to be compared to or analyzed against Geberit AG's peers to derive any actionable benefits. When done correctly, Geberit AG'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 Geberit AG.

Other Forecasting Options for Geberit AG

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

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

Geberit AG 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 Geberit AG'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 Geberit AG's current price.

Geberit AG Market Strength Events

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

Geberit AG Risk Indicators

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

Currently Active Assets on Macroaxis

Other Information on Investing in Geberit Stock

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