Jakarta Setiabudi Stock Forecast - Polynomial Regression

Jakarta Setiabudi polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Jakarta Setiabudi Internasional as well as the accuracy indicators are determined from the period prices.

Jakarta Setiabudi Polynomial Regression Price Forecast For the 5th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Jakarta Setiabudi Internasional on the next trading day is expected to be 10,886 with a mean absolute deviation of 708.46, mean absolute percentage error of 861,808, and the sum of the absolute errors of 43,216.

Jakarta Setiabudi Stock Forecast Pattern

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Jakarta Setiabudi Price Prediction

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Jakarta Setiabudi Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Jakarta Setiabudi stock data series using in forecasting. Note that when a statistical model is used to represent Jakarta Setiabudi 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. A single variable polynomial regression model attempts to put a curve through the Jakarta Setiabudi historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a₀ + a₁*X + a₂*X² + a₃*X³ + ... + a_m*X^m

Predictive Modules for Jakarta Setiabudi

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Jakarta Setiabudi. 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 9,439 9,450 9,461 Details

Intrinsic Valuation Low Real High 7,648 7,659 10,395 Details

Bollinger Band Projection (param) Low Middle High 6,007 8,050 10,092 Details

Other Forecasting Options for Jakarta Setiabudi

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

Jakarta Setiabudi Related Equities

Risk & Return

Correlation

Jakarta Setiabudi 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 Jakarta Setiabudi'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 Jakarta Setiabudi's current price.

Jakarta Setiabudi Market Strength Events

Jakarta Setiabudi Risk Indicators

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