Sampoerna Agro Stock Forecast - Polynomial Regression

SGRO Stock  IDR 2,070  20.00  0.98%   
The Polynomial Regression forecasted value of Sampoerna Agro Tbk on the next trading day is expected to be 2,018 with a mean absolute deviation of 17.76 and the sum of the absolute errors of 1,083. Sampoerna Stock Forecast is based on your current time horizon.
  
Sampoerna Agro polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Sampoerna Agro Tbk as well as the accuracy indicators are determined from the period prices.

Sampoerna Agro Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Sampoerna Agro Tbk on the next trading day is expected to be 2,018 with a mean absolute deviation of 17.76, mean absolute percentage error of 620.02, and the sum of the absolute errors of 1,083.
Please note that although there have been many attempts to predict Sampoerna Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Sampoerna Agro's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sampoerna Agro Stock Forecast Pattern

Backtest Sampoerna AgroSampoerna Agro Price PredictionBuy or Sell Advice 

Sampoerna Agro Forecasted Value

In the context of forecasting Sampoerna Agro's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Sampoerna Agro's downside and upside margins for the forecasting period are 2,017 and 2,019, respectively. We have considered Sampoerna Agro's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
2,070
2,018
Expected Value
2,019
Upside

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 Sampoerna Agro stock data series using in forecasting. Note that when a statistical model is used to represent Sampoerna Agro 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.
AICAkaike Information Criteria124.5403
BiasArithmetic mean of the errors None
MADMean absolute deviation17.7579
MAPEMean absolute percentage error0.0086
SAESum of the absolute errors1083.2338
A single variable polynomial regression model attempts to put a curve through the Sampoerna Agro 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 + ... + am*Xm

Predictive Modules for Sampoerna Agro

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sampoerna Agro Tbk. 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
LowEstimatedHigh
2,0692,0702,071
Details
Intrinsic
Valuation
LowRealHigh
1,9911,9922,277
Details
Bollinger
Band Projection (param)
LowMiddleHigh
2,0012,0382,075
Details

Other Forecasting Options for Sampoerna Agro

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

Sampoerna Agro Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Sampoerna Agro stock to make a market-neutral strategy. Peer analysis of Sampoerna Agro could also be used in its relative valuation, which is a method of valuing Sampoerna Agro by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Sampoerna Agro Tbk 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 Sampoerna Agro'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 Sampoerna Agro's current price.

Sampoerna Agro Market Strength Events

Market strength indicators help investors to evaluate how Sampoerna Agro stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Sampoerna Agro shares will generate the highest return on investment. By undertsting and applying Sampoerna Agro stock market strength indicators, traders can identify Sampoerna Agro Tbk entry and exit signals to maximize returns.

Sampoerna Agro Risk Indicators

The analysis of Sampoerna Agro's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Sampoerna Agro's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sampoerna stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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Other Information on Investing in Sampoerna Stock

Sampoerna Agro financial ratios help investors to determine whether Sampoerna Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sampoerna with respect to the benefits of owning Sampoerna Agro security.