Atmus Filtration Stock Forecast - Polynomial Regression

ATMU Stock   43.06  0.66  1.51%   
The Polynomial Regression forecasted value of Atmus Filtration Technologies on the next trading day is expected to be 45.08 with a mean absolute deviation of 0.61 and the sum of the absolute errors of 37.27. Atmus Stock Forecast is based on your current time horizon.
  
Asset Turnover is likely to gain to 1.79 in 2024, whereas Inventory Turnover is likely to drop 3.72 in 2024. . Common Stock Shares Outstanding is likely to gain to about 91.7 M in 2024, whereas Net Income Applicable To Common Shares is likely to drop slightly above 174.9 M in 2024.
Atmus Filtration polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Atmus Filtration Technologies as well as the accuracy indicators are determined from the period prices.

Atmus Filtration Polynomial Regression Price Forecast For the 29th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Atmus Filtration Technologies on the next trading day is expected to be 45.08 with a mean absolute deviation of 0.61, mean absolute percentage error of 0.71, and the sum of the absolute errors of 37.27.
Please note that although there have been many attempts to predict Atmus 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 Atmus Filtration's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Atmus Filtration Stock Forecast Pattern

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Atmus Filtration Forecasted Value

In the context of forecasting Atmus Filtration'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. Atmus Filtration's downside and upside margins for the forecasting period are 43.15 and 47.02, respectively. We have considered Atmus Filtration'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
43.06
45.08
Expected Value
47.02
Upside

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 Atmus Filtration stock data series using in forecasting. Note that when a statistical model is used to represent Atmus Filtration 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 Criteria117.7629
BiasArithmetic mean of the errors None
MADMean absolute deviation0.611
MAPEMean absolute percentage error0.0153
SAESum of the absolute errors37.2685
A single variable polynomial regression model attempts to put a curve through the Atmus Filtration 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 Atmus Filtration

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Atmus Filtration Tec. 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
41.7043.6445.58
Details
Intrinsic
Valuation
LowRealHigh
35.6137.5547.37
Details
7 Analysts
Consensus
LowTargetHigh
24.3926.8029.75
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.600.610.62
Details

Other Forecasting Options for Atmus Filtration

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

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

Atmus Filtration Tec 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 Atmus Filtration'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 Atmus Filtration's current price.

Atmus Filtration Market Strength Events

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

Atmus Filtration Risk Indicators

The analysis of Atmus Filtration'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 Atmus Filtration's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting atmus 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.

Thematic Opportunities

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Additional Tools for Atmus Stock Analysis

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