Reckitt Benckiser Pink Sheet Forecast - Triple Exponential Smoothing

Triple exponential smoothing for Reckitt Benckiser - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Reckitt Benckiser prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Reckitt Benckiser price movement. However, neither of these exponential smoothing models address any seasonality of Reckitt Benckiser.

Reckitt Benckiser Triple Exponential Smoothing Price Forecast For the 27th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Reckitt Benckiser Group on the next trading day is expected to be 60.86 with a mean absolute deviation of 1.22, mean absolute percentage error of 2.78, and the sum of the absolute errors of 73.41.

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Reckitt Benckiser pink sheet data series using in forecasting. Note that when a statistical model is used to represent Reckitt Benckiser pink sheet, 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. As with simple exponential smoothing, in triple exponential smoothing models past Reckitt Benckiser observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Reckitt Benckiser Group observations.

Predictive Modules for Reckitt Benckiser

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Reckitt Benckiser. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 58.23 61.00 63.77 Details

Intrinsic Valuation Low Real High 48.77 51.54 67.10 Details

Bollinger Band Projection (param) Low Middle High 58.33 60.24 62.16 Details

Other Forecasting Options for Reckitt Benckiser

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

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Reckitt Benckiser Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Reckitt Benckiser'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 Reckitt Benckiser's current price.

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