Proximus Stock Forecast - Polynomial Regression

PROX Stock  EUR 7.50  0.07  0.94%   
The Polynomial Regression forecasted value of Proximus NV on the next trading day is expected to be 7.44 with a mean absolute deviation of  0.12  and the sum of the absolute errors of 7.37. Proximus Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Proximus stock prices and determine the direction of Proximus NV's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Proximus' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Proximus to cross-verify your projections.
  
Most investors in Proximus cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Proximus' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Proximus' price structures and extracts relationships that further increase the generated results' accuracy.
Proximus polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Proximus NV as well as the accuracy indicators are determined from the period prices.

Proximus Polynomial Regression Price Forecast For the 29th of March

Given 90 days horizon, the Polynomial Regression forecasted value of Proximus NV on the next trading day is expected to be 7.44 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.37.
Please note that although there have been many attempts to predict Proximus 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 Proximus' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Proximus Stock Forecast Pattern

Backtest ProximusProximus Price PredictionBuy or Sell Advice 

Proximus Forecasted Value

In the context of forecasting Proximus' 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. Proximus' downside and upside margins for the forecasting period are 6.11 and 8.77, respectively. We have considered Proximus' 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
7.50
7.44
Expected Value
8.77
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 Proximus stock data series using in forecasting. Note that when a statistical model is used to represent Proximus 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 Criteria114.2756
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1209
MAPEMean absolute percentage error0.0143
SAESum of the absolute errors7.3739
A single variable polynomial regression model attempts to put a curve through the Proximus 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 Proximus

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Proximus NV. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Proximus' 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
6.177.508.83
Details
Intrinsic
Valuation
LowRealHigh
5.306.637.96
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Proximus. Your research has to be compared to or analyzed against Proximus' peers to derive any actionable benefits. When done correctly, Proximus' 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 Proximus NV.

Other Forecasting Options for Proximus

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

Proximus 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 Proximus stock to make a market-neutral strategy. Peer analysis of Proximus could also be used in its relative valuation, which is a method of valuing Proximus by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Proximus NV 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 Proximus' 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 Proximus' current price.

Proximus Market Strength Events

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

Proximus Risk Indicators

The analysis of Proximus' 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 Proximus' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting proximus 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.

Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Proximus NV using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.

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By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations
Check out Historical Fundamental Analysis of Proximus to cross-verify your projections.
You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

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When running Proximus' price analysis, check to measure Proximus' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Proximus is operating at the current time. Most of Proximus' value examination focuses on studying past and present price action to predict the probability of Proximus' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Proximus' price. Additionally, you may evaluate how the addition of Proximus to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Proximus' value and its price as these two are different measures arrived at by different means. Investors typically determine if Proximus is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Proximus' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.