AT S Stock Forecast - Simple Regression

ATS Stock  EUR 13.32  0.43  3.13%   
The Simple Regression forecasted value of AT S Austria on the next trading day is expected to be 12.37 with a mean absolute deviation of 0.93 and the sum of the absolute errors of 57.70. ATS Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of AT S's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through AT S price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

AT S Simple Regression Price Forecast For the 18th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of AT S Austria on the next trading day is expected to be 12.37 with a mean absolute deviation of 0.93, mean absolute percentage error of 1.13, and the sum of the absolute errors of 57.70.
Please note that although there have been many attempts to predict ATS 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 AT S's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AT S Stock Forecast Pattern

Backtest AT SAT S Price PredictionBuy or Sell Advice 

AT S Forecasted Value

In the context of forecasting AT S'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. AT S's downside and upside margins for the forecasting period are 9.49 and 15.25, respectively. We have considered AT S'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
13.32
12.37
Expected Value
15.25
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of AT S stock data series using in forecasting. Note that when a statistical model is used to represent AT S 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 Criteria120.0668
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9307
MAPEMean absolute percentage error0.0547
SAESum of the absolute errors57.7037
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as AT S Austria historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for AT S

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AT S Austria. 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
10.4413.3216.20
Details
Intrinsic
Valuation
LowRealHigh
8.4411.3214.20
Details

Other Forecasting Options for AT S

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

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

AT S Austria 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 AT S'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 AT S's current price.

AT S Market Strength Events

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

AT S Risk Indicators

The analysis of AT S'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 AT S's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ats 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

Other Information on Investing in ATS Stock

AT S financial ratios help investors to determine whether ATS Stock 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 ATS with respect to the benefits of owning AT S security.