Bayer AG Pink Sheet Forecast - Polynomial Regression
| BAYRYDelisted Stock | USD 16.86 0.86 5.37% |
The Polynomial Regression forecasted value of Bayer AG PK on the next trading day is expected to be 16.94 with a mean absolute deviation of 0.50 and the sum of the absolute errors of 29.78. Bayer Pink Sheet Forecast is based on your current time horizon.
Bayer |
Bayer AG Polynomial Regression Price Forecast For the 30th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Bayer AG PK on the next trading day is expected to be 16.94 with a mean absolute deviation of 0.50, mean absolute percentage error of 0.34, and the sum of the absolute errors of 29.78.Please note that although there have been many attempts to predict Bayer Pink Sheet 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 Pink Sheet Forecast Pattern
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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 pink sheet data series using in forecasting. Note that when a statistical model is used to represent Bayer AG pink sheet, 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 | 113.3524 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.5047 |
| MAPE | Mean absolute percentage error | 0.0357 |
| SAE | Sum of the absolute errors | 29.7792 |
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 PK. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.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 pink sheet 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 Market Strength Events
Market strength indicators help investors to evaluate how Bayer AG pink sheet 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 pink sheet market strength indicators, traders can identify Bayer AG PK 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 pink sheet 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 | 1.21 | |||
| Semi Deviation | 1.12 | |||
| Standard Deviation | 1.77 | |||
| Variance | 3.13 | |||
| Downside Variance | 2.25 | |||
| Semi Variance | 1.25 | |||
| Expected Short fall | (1.43) |
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.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Consideration for investing in Bayer Pink Sheet
If you are still planning to invest in Bayer AG PK check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Bayer AG's history and understand the potential risks before investing.
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