Valartis Group Stock Forecast - Polynomial Regression

VLRT Stock  CHF 11.90  0.10  0.85%   
The Polynomial Regression forecasted value of Valartis Group AG on the next trading day is expected to be 12.13 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.92. Valartis Stock Forecast is based on your current time horizon.
  
Valartis Group polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Valartis Group AG as well as the accuracy indicators are determined from the period prices.

Valartis Group Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Valartis Group AG on the next trading day is expected to be 12.13 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.92.
Please note that although there have been many attempts to predict Valartis 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 Valartis Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Valartis Group Stock Forecast Pattern

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Valartis Group Forecasted Value

In the context of forecasting Valartis Group'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. Valartis Group's downside and upside margins for the forecasting period are 9.94 and 14.32, respectively. We have considered Valartis Group'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
11.90
12.13
Expected Value
14.32
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 Valartis Group stock data series using in forecasting. Note that when a statistical model is used to represent Valartis 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 Criteria114.9646
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1626
MAPEMean absolute percentage error0.0145
SAESum of the absolute errors9.919
A single variable polynomial regression model attempts to put a curve through the Valartis 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 Valartis 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 Valartis Group AG. 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
9.7111.9014.09
Details
Intrinsic
Valuation
LowRealHigh
9.3411.5313.72
Details

Other Forecasting Options for Valartis Group

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

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

Valartis Group AG 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 Valartis Group'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 Valartis Group's current price.

Valartis Group Market Strength Events

Market strength indicators help investors to evaluate how Valartis 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 Valartis Group shares will generate the highest return on investment. By undertsting and applying Valartis Group stock market strength indicators, traders can identify Valartis Group AG entry and exit signals to maximize returns.

Valartis Group Risk Indicators

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

Additional Tools for Valartis Stock Analysis

When running Valartis Group's price analysis, check to measure Valartis Group's 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 Valartis Group is operating at the current time. Most of Valartis Group's value examination focuses on studying past and present price action to predict the probability of Valartis Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Valartis Group's price. Additionally, you may evaluate how the addition of Valartis Group to your portfolios can decrease your overall portfolio volatility.