Indofood Cbp Stock Forecast - Triple Exponential Smoothing

Triple exponential smoothing for Indofood Cbp - 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 Indofood Cbp 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 Indofood Cbp price movement. However, neither of these exponential smoothing models address any seasonality of Indofood Cbp Sukses.

Indofood Cbp Triple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Indofood Cbp Sukses on the next trading day is expected to be 11,925 with a mean absolute deviation of 151.67, mean absolute percentage error of 34,312, and the sum of the absolute errors of 9,100.

Indofood Cbp Stock Forecast Pattern

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Indofood Cbp Price Prediction

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Indofood Cbp Forecasted Value

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 Indofood Cbp stock data series using in forecasting. Note that when a statistical model is used to represent Indofood Cbp 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. As with simple exponential smoothing, in triple exponential smoothing models past Indofood Cbp 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 Indofood Cbp Sukses observations.

Predictive Modules for Indofood Cbp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Indofood Cbp Sukses. 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 11,898 11,900 11,902 Details

Intrinsic Valuation Low Real High 10,063 10,064 13,090 Details

Other Forecasting Options for Indofood Cbp

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

Indofood Cbp Related Equities

Risk & Return

Correlation

Indofood Cbp Sukses 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 Indofood Cbp'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 Indofood Cbp's current price.

Indofood Cbp Market Strength Events

Indofood Cbp Risk Indicators

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