Wilmar Cahaya Stock Forecast - 4 Period Moving Average

A four-period moving average forecast model for Wilmar Cahaya Indonesia 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.

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

Given 90 days horizon, the 4 Period Moving Average forecasted value of Wilmar Cahaya Indonesia on the next trading day is expected to be 2,035 with a mean absolute deviation of 20.83, mean absolute percentage error of 809.76, and the sum of the absolute errors of 1,188.

Wilmar Cahaya Stock Forecast Pattern

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

Predictive Modules for Wilmar Cahaya

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Wilmar Cahaya Indonesia. 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 2,029 2,030 2,031 Details

Intrinsic Valuation Low Real High 1,948 1,949 2,233 Details

Bollinger Band Projection (param) Low Middle High 1,990 2,072 2,154 Details

Other Forecasting Options for Wilmar Cahaya

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

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Risk & Return

Correlation

Wilmar Cahaya Indonesia 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 Wilmar Cahaya'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 Wilmar Cahaya's current price.

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