Varta AG Stock Forecast - Simple Regression

VAR1 Stock  EUR 1.22  0.00  0.00%   
The Simple Regression forecasted value of Varta AG on the next trading day is expected to be 1.02 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 16.05. Varta Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Varta AG'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 Varta AG 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.

Varta AG Simple Regression Price Forecast For the 22nd of March

Given 90 days horizon, the Simple Regression forecasted value of Varta AG on the next trading day is expected to be 1.02 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.09, and the sum of the absolute errors of 16.05.
Please note that although there have been many attempts to predict Varta 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 Varta AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Varta AG Stock Forecast Pattern

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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 Varta AG stock data series using in forecasting. Note that when a statistical model is used to represent Varta AG 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 Criteria115.7398
BiasArithmetic mean of the errors None
MADMean absolute deviation0.263
MAPEMean absolute percentage error0.2508
SAESum of the absolute errors16.0454
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 Varta AG 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 Varta AG

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Varta 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
0.061.2217.66
Details
Intrinsic
Valuation
LowRealHigh
0.061.2417.68
Details

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

Varta AG Market Strength Events

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

Varta AG Risk Indicators

The analysis of Varta AG'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 Varta AG's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting varta 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.

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Other Information on Investing in Varta Stock

Varta AG financial ratios help investors to determine whether Varta 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 Varta with respect to the benefits of owning Varta AG security.