FG Group Stock Forecast - Polynomial Regression

FGHDelisted Stock   1.68  0.07  4.00%   
The Polynomial Regression forecasted value of FG Group Holdings on the next trading day is expected to be 1.67 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.75. FGH Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of FG Group's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
FG Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for FG Group Holdings as well as the accuracy indicators are determined from the period prices.

FG Group Polynomial Regression Price Forecast For the 3rd of December

Given 90 days horizon, the Polynomial Regression forecasted value of FG Group Holdings on the next trading day is expected to be 1.67 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.75.
Please note that although there have been many attempts to predict FGH 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 FG Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FG Group 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 FG Group stock data series using in forecasting. Note that when a statistical model is used to represent FG Group 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 Criteria113.0879
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0614
MAPEMean absolute percentage error0.0334
SAESum of the absolute errors3.7482
A single variable polynomial regression model attempts to put a curve through the FG Group 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 FG Group

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FG Group Holdings. 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
1.681.681.68
Details
Intrinsic
Valuation
LowRealHigh
1.501.501.85
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as FG Group. Your research has to be compared to or analyzed against FG Group's peers to derive any actionable benefits. When done correctly, FG Group'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 FG Group Holdings.

View FG Group Related Equities

 Risk & Return  Correlation

FG Group Market Strength Events

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

FG Group Risk Indicators

The analysis of FG Group'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 FG Group's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fgh 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.

Currently Active Assets on Macroaxis

Check out Investing Opportunities 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 price.
You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

Other Consideration for investing in FGH Stock

If you are still planning to invest in FG Group Holdings 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 FG Group's history and understand the potential risks before investing.
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