Unilever Plc Stock Forecast - 4 Period Moving Average

UNVB Stock  EUR 55.12  0.22  0.40%   
The 4 Period Moving Average forecasted value of Unilever Plc on the next trading day is expected to be 55.34 with a mean absolute deviation of 0.56 and the sum of the absolute errors of 31.97. Unilever Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Unilever Plc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Unilever Plc 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.

Unilever Plc 4 Period Moving Average Price Forecast For the 24th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of Unilever Plc on the next trading day is expected to be 55.34 with a mean absolute deviation of 0.56, mean absolute percentage error of 0.49, and the sum of the absolute errors of 31.97.
Please note that although there have been many attempts to predict Unilever 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 Unilever Plc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Unilever Plc Stock Forecast Pattern

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Unilever Plc Forecasted Value

In the context of forecasting Unilever Plc'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. Unilever Plc's downside and upside margins for the forecasting period are 54.37 and 56.30, respectively. We have considered Unilever Plc'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
55.12
55.34
Expected Value
56.30
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 Unilever Plc stock data series using in forecasting. Note that when a statistical model is used to represent Unilever Plc 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 Criteria110.0384
BiasArithmetic mean of the errors 0.0964
MADMean absolute deviation0.5609
MAPEMean absolute percentage error0.01
SAESum of the absolute errors31.97
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 Unilever Plc. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Unilever Plc and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Unilever Plc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Unilever Plc. 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
54.1555.1256.09
Details
Intrinsic
Valuation
LowRealHigh
53.4554.4255.39
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Unilever Plc. Your research has to be compared to or analyzed against Unilever Plc's peers to derive any actionable benefits. When done correctly, Unilever Plc'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 Unilever Plc.

Other Forecasting Options for Unilever Plc

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

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

Unilever Plc 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 Unilever Plc'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 Unilever Plc's current price.

Unilever Plc Market Strength Events

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

Unilever Plc Risk Indicators

The analysis of Unilever Plc'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 Unilever Plc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting unilever 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.

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Other Information on Investing in Unilever Stock

Unilever Plc financial ratios help investors to determine whether Unilever 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 Unilever with respect to the benefits of owning Unilever Plc security.