GSK Plc Pink Sheet Forecast - Polynomial Regression

GLAXF Stock  USD 16.83  0.21  1.23%   
The Polynomial Regression forecasted value of GSK plc on the next trading day is expected to be 17.29 with a mean absolute deviation of 0.35 and the sum of the absolute errors of 21.52. GSK Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of GSK Plc's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
GSK Plc polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for GSK plc as well as the accuracy indicators are determined from the period prices.

GSK Plc Polynomial Regression Price Forecast For the 15th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of GSK plc on the next trading day is expected to be 17.29 with a mean absolute deviation of 0.35, mean absolute percentage error of 0.21, and the sum of the absolute errors of 21.52.
Please note that although there have been many attempts to predict GSK Pink Sheet 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 GSK Plc's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GSK Plc Pink Sheet Forecast Pattern

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GSK Plc Forecasted Value

In the context of forecasting GSK Plc's Pink Sheet 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. GSK Plc's downside and upside margins for the forecasting period are 14.48 and 20.09, respectively. We have considered GSK Plc'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
16.83
17.29
Expected Value
20.09
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 GSK Plc pink sheet data series using in forecasting. Note that when a statistical model is used to represent GSK Plc pink sheet, 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 Criteria118.3702
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3471
MAPEMean absolute percentage error0.0188
SAESum of the absolute errors21.5176
A single variable polynomial regression model attempts to put a curve through the GSK Plc 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 GSK Plc

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GSK plc. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GSK Plc's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
14.0216.8319.64
Details
Intrinsic
Valuation
LowRealHigh
12.2815.0917.90
Details
Bollinger
Band Projection (param)
LowMiddleHigh
16.3017.1518.01
Details

Other Forecasting Options for GSK Plc

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

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 Risk & Return  Correlation

GSK plc Technical and Predictive Analytics

The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of GSK Plc'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 GSK Plc's current price.

GSK Plc Market Strength Events

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

GSK Plc Risk Indicators

The analysis of GSK Plc'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 GSK Plc's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gsk pink sheet 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 GSK Pink Sheet

GSK Plc financial ratios help investors to determine whether GSK Pink Sheet 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 GSK with respect to the benefits of owning GSK Plc security.