BASF SE Stock Forecast - Polynomial Regression

BASF Stock   18,644  144.00  0.78%   
The Polynomial Regression forecasted value of BASF SE on the next trading day is expected to be 17,518 with a mean absolute deviation of 517.76 and the sum of the absolute errors of 31,583. Investors can use prediction functions to forecast BASF SE's stock prices and determine the direction of BASF SE's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of BASF SE's historical fundamentals, such as revenue growth or operating cash flow patterns. 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 board of governors.
  
BASF SE polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for BASF SE as well as the accuracy indicators are determined from the period prices.

BASF SE Polynomial Regression Price Forecast For the 15th of December 2024

Given 90 days horizon, the Polynomial Regression forecasted value of BASF SE on the next trading day is expected to be 17,518 with a mean absolute deviation of 517.76, mean absolute percentage error of 383,060, and the sum of the absolute errors of 31,583.
Please note that although there have been many attempts to predict BASF 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 BASF SE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BASF SE Stock Forecast Pattern

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 BASF SE stock data series using in forecasting. Note that when a statistical model is used to represent BASF SE 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 Criteria130.9664
BiasArithmetic mean of the errors None
MADMean absolute deviation517.7593
MAPEMean absolute percentage error0.0291
SAESum of the absolute errors31583.3156
A single variable polynomial regression model attempts to put a curve through the BASF SE 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 BASF SE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BASF SE. 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.

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

BASF SE Market Strength Events

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

BASF SE Risk Indicators

The analysis of BASF SE'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 BASF SE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting basf 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 BASF Stock Analysis

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