GPAC Old Stock Forecast - Polynomial Regression

The Polynomial Regression forecasted value of GPAC Old on the next trading day is expected to be 5.54 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 51.25. GPAC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GPAC Old stock prices and determine the direction of GPAC Old's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of GPAC Old's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
GPAC Old polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for GPAC Old as well as the accuracy indicators are determined from the period prices.

GPAC Old Polynomial Regression Price Forecast For the 9th of January

Given 90 days horizon, the Polynomial Regression forecasted value of GPAC Old on the next trading day is expected to be 5.54 with a mean absolute deviation of 0.84, mean absolute percentage error of 2.13, and the sum of the absolute errors of 51.25.
Please note that although there have been many attempts to predict GPAC 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 GPAC Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GPAC Old Stock Forecast Pattern

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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 GPAC Old stock data series using in forecasting. Note that when a statistical model is used to represent GPAC Old 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 Criteria118.8657
BiasArithmetic mean of the errors None
MADMean absolute deviation0.8402
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors51.2532
A single variable polynomial regression model attempts to put a curve through the GPAC Old 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 GPAC Old

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GPAC Old. 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
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-2.627.4617.53
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as GPAC Old. Your research has to be compared to or analyzed against GPAC Old's peers to derive any actionable benefits. When done correctly, GPAC Old's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in GPAC Old.

View GPAC Old Related Equities

 Risk & Return  Correlation

GPAC Old Risk Indicators

The analysis of GPAC Old'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 GPAC Old's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gpac 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.

Other Consideration for investing in GPAC Stock

If you are still planning to invest in GPAC Old check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the GPAC Old's history and understand the potential risks before investing.
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