Bayer AG Stock Forecast - Polynomial Regression
| BAYN Stock | EUR 20.18 0.39 1.97% |
The Polynomial Regression forecasted value of Bayer AG NA on the next trading day is expected to be 18.44 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 51.16. Bayer Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Bayer AG's historical fundamentals, such as revenue growth or operating cash flow patterns.
Bayer |
Bayer AG Polynomial Regression Price Forecast For the 24th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Bayer AG NA on the next trading day is expected to be 18.44 with a mean absolute deviation of 0.84, mean absolute percentage error of 1.01, and the sum of the absolute errors of 51.16.Please note that although there have been many attempts to predict Bayer 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 Bayer AG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Bayer AG Stock Forecast Pattern
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Bayer AG Forecasted Value
In the context of forecasting Bayer AG'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. Bayer AG's downside and upside margins for the forecasting period are 15.89 and 20.99, respectively. We have considered Bayer AG'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.
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 Bayer AG stock data series using in forecasting. Note that when a statistical model is used to represent Bayer 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.| AIC | Akaike Information Criteria | 118.1175 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8387 |
| MAPE | Mean absolute percentage error | 0.0323 |
| SAE | Sum of the absolute errors | 51.1622 |
Predictive Modules for Bayer 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 Bayer AG NA. 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.Other Forecasting Options for Bayer AG
For every potential investor in Bayer, whether a beginner or expert, Bayer AG's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bayer Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bayer. Basic forecasting techniques help filter out the noise by identifying Bayer AG's price trends.Bayer 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 Bayer AG stock to make a market-neutral strategy. Peer analysis of Bayer AG could also be used in its relative valuation, which is a method of valuing Bayer AG by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bayer AG NA 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 Bayer AG'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 Bayer AG's current price.| Cycle Indicators | ||
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| Volume Indicators |
Bayer AG Market Strength Events
Market strength indicators help investors to evaluate how Bayer 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 Bayer AG shares will generate the highest return on investment. By undertsting and applying Bayer AG stock market strength indicators, traders can identify Bayer AG NA entry and exit signals to maximize returns.
Bayer AG Risk Indicators
The analysis of Bayer 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 Bayer AG's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bayer 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.
| Mean Deviation | 1.53 | |||
| Standard Deviation | 2.5 | |||
| Variance | 6.23 |
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 Bayer Stock
Bayer AG financial ratios help investors to determine whether Bayer 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 Bayer with respect to the benefits of owning Bayer AG security.