Perusahaan Perkebunan Stock Forecast - Polynomial Regression

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

Perusahaan Perkebunan Polynomial Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of Perusahaan Perkebunan London on the next trading day is expected to be 1,072 with a mean absolute deviation of 52.82, mean absolute percentage error of 3,953, and the sum of the absolute errors of 3,275.

Perusahaan Perkebunan Stock Forecast Pattern

Backtest Perusahaan Perkebunan

Perusahaan Perkebunan Price Prediction

Buy or Sell Advice

Perusahaan Perkebunan 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 Perusahaan Perkebunan stock data series using in forecasting. Note that when a statistical model is used to represent Perusahaan Perkebunan 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 Perusahaan Perkebunan 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 Perusahaan Perkebunan

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Perusahaan Perkebunan. 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 1,107 1,110 1,113 Details

Intrinsic Valuation Low Real High 938.08 940.80 1,221 Details

Bollinger Band Projection (param) Low Middle High 969.01 1,093 1,217 Details

Other Forecasting Options for Perusahaan Perkebunan

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

Perusahaan Perkebunan Related Equities

Risk & Return

Correlation

Perusahaan Perkebunan 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 Perusahaan Perkebunan'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 Perusahaan Perkebunan's current price.

Perusahaan Perkebunan Market Strength Events

Perusahaan Perkebunan Risk Indicators

Other Information on Investing in Perusahaan Stock