DIVIDEND GROWTH Stock Forecast - Simple Moving Average

74G Stock  EUR 4.44  0.00  0.00%   
The Simple Moving Average forecasted value of DIVIDEND GROWTH SPLIT on the next trading day is expected to be 4.44 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.01. DIVIDEND Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of DIVIDEND GROWTH's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A two period moving average forecast for DIVIDEND GROWTH is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

DIVIDEND GROWTH Simple Moving Average Price Forecast For the 27th of December

Given 90 days horizon, the Simple Moving Average forecasted value of DIVIDEND GROWTH SPLIT on the next trading day is expected to be 4.44 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.01.
Please note that although there have been many attempts to predict DIVIDEND 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 DIVIDEND GROWTH's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

DIVIDEND GROWTH Stock Forecast Pattern

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DIVIDEND GROWTH Forecasted Value

In the context of forecasting DIVIDEND GROWTH'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. DIVIDEND GROWTH's downside and upside margins for the forecasting period are 1.52 and 7.36, respectively. We have considered DIVIDEND GROWTH'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
4.44
4.44
Expected Value
7.36
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of DIVIDEND GROWTH stock data series using in forecasting. Note that when a statistical model is used to represent DIVIDEND GROWTH 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 Criteria110.3163
BiasArithmetic mean of the errors -0.0054
MADMean absolute deviation0.0849
MAPEMean absolute percentage error0.0183
SAESum of the absolute errors5.01
The simple moving average model is conceptually a linear regression of the current value of DIVIDEND GROWTH SPLIT price series against current and previous (unobserved) value of DIVIDEND GROWTH. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for DIVIDEND GROWTH

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DIVIDEND GROWTH SPLIT. 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
1.524.447.36
Details
Intrinsic
Valuation
LowRealHigh
0.913.836.75
Details

Other Forecasting Options for DIVIDEND GROWTH

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

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

DIVIDEND GROWTH SPLIT 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 DIVIDEND GROWTH'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 DIVIDEND GROWTH's current price.

DIVIDEND GROWTH Market Strength Events

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

DIVIDEND GROWTH Risk Indicators

The analysis of DIVIDEND GROWTH'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 DIVIDEND GROWTH's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dividend 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 DIVIDEND Stock

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