Celanese Stock Forecast - Simple Regression

CE Stock  USD 72.91  0.06  0.08%   
The Simple Regression forecasted value of Celanese on the next trading day is expected to be 82.34 with a mean absolute deviation of 15.14 and the sum of the absolute errors of 923.84. Celanese Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Celanese stock prices and determine the direction of Celanese's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Celanese's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Celanese's Payables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Fixed Asset Turnover is expected to grow to 2.24, whereas Receivables Turnover is forecasted to decline to 4.14. . The current year's Common Stock Shares Outstanding is expected to grow to about 145 M. The current year's Net Income Applicable To Common Shares is expected to grow to about 2.3 B.
Simple Regression model is a single variable regression model that attempts to put a straight line through Celanese 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.

Celanese Simple Regression Price Forecast For the 29th of November

Given 90 days horizon, the Simple Regression forecasted value of Celanese on the next trading day is expected to be 82.34 with a mean absolute deviation of 15.14, mean absolute percentage error of 265.30, and the sum of the absolute errors of 923.84.
Please note that although there have been many attempts to predict Celanese 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 Celanese's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Celanese Stock Forecast Pattern

Backtest CelaneseCelanese Price PredictionBuy or Sell Advice 

Celanese Forecasted Value

In the context of forecasting Celanese'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. Celanese's downside and upside margins for the forecasting period are 78.36 and 86.32, respectively. We have considered Celanese'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
72.91
82.34
Expected Value
86.32
Upside

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 Celanese stock data series using in forecasting. Note that when a statistical model is used to represent Celanese 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 Criteria123.6913
BiasArithmetic mean of the errors None
MADMean absolute deviation15.145
MAPEMean absolute percentage error0.1411
SAESum of the absolute errors923.8445
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 Celanese 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 Celanese

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Celanese. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Celanese's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
64.7368.7180.20
Details
Intrinsic
Valuation
LowRealHigh
65.6288.1692.14
Details
18 Analysts
Consensus
LowTargetHigh
122.53134.65149.46
Details
Earnings
Estimates (0)
LowProjected EPSHigh
2.032.042.05
Details

Other Forecasting Options for Celanese

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

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

Celanese 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 Celanese'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 Celanese's current price.

Celanese Market Strength Events

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

Celanese Risk Indicators

The analysis of Celanese'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 Celanese's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting celanese 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.
Check out Historical Fundamental Analysis of Celanese to cross-verify your projections.
For information on how to trade Celanese Stock refer to our How to Trade Celanese Stock guide.
You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
Is Specialty Chemicals space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Celanese. If investors know Celanese will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Celanese listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.88)
Dividend Share
2.8
Earnings Share
10.05
Revenue Per Share
95.989
Quarterly Revenue Growth
(0.03)
The market value of Celanese is measured differently than its book value, which is the value of Celanese that is recorded on the company's balance sheet. Investors also form their own opinion of Celanese's value that differs from its market value or its book value, called intrinsic value, which is Celanese's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Celanese's market value can be influenced by many factors that don't directly affect Celanese's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Celanese's value and its price as these two are different measures arrived at by different means. Investors typically determine if Celanese is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Celanese's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.