Securitas Stock Forecast - 4 Period Moving Average

A four-period moving average forecast model for Securitas AB 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.

Securitas 4 Period Moving Average Price Forecast For the 28th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Securitas AB on the next trading day is expected to be 135.19 with a mean absolute deviation of 2.41, mean absolute percentage error of 11.59, and the sum of the absolute errors of 137.35.

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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 Securitas stock data series using in forecasting. Note that when a statistical model is used to represent Securitas 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. 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 Securitas. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Securitas AB and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Securitas

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Securitas AB. 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 Low Estimated High 133.38 135.05 136.72 Details

Intrinsic Valuation Low Real High 107.72 109.39 148.56 Details

Bollinger Band Projection (param) Low Middle High 121.13 132.28 143.42 Details

Other Forecasting Options for Securitas

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

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Securitas AB 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 Securitas' 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 Securitas' current price.

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