Celanese Stock Market Value
| CE Stock | USD 155.43 0.62 0.40% |
| Symbol | Celanese |
Celanese Price To Book Ratio
Is Celanese's industry 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 (0.09) | Dividend Share 2.8 | Earnings Share 18 | Revenue Per Share 100.506 | Quarterly Revenue Growth 0.094 |
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.
Celanese 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Celanese's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Celanese.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Celanese on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Celanese or generate 0.0% return on investment in Celanese over 30 days. Celanese is related to or competes with Tronox Holdings, Green Plains, Lsb Industries, Huntsman, BASF SE, Westlake Chemical, and AdvanSix. Celanese Corporation, a technology and specialty materials company, manufactures and sells high performance engineered p... More
Celanese Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Celanese's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Celanese upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.71 | |||
| Information Ratio | 0.0215 | |||
| Maximum Drawdown | 8.06 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 2.04 |
Celanese Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Celanese's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Celanese's standard deviation. In reality, there are many statistical measures that can use Celanese historical prices to predict the future Celanese's volatility.| Risk Adjusted Performance | 0.0545 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0197 | |||
| Treynor Ratio | 0.0606 |
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.
Celanese Backtested Returns
We consider Celanese very steady. Celanese secures Sharpe Ratio (or Efficiency) of 0.0756, which signifies that the company had a 0.0756% return per unit of risk over the last 3 months. We have found thirty technical indicators for Celanese, which you can use to evaluate the volatility of the firm. Please confirm Celanese's Downside Deviation of 1.71, mean deviation of 1.17, and Risk Adjusted Performance of 0.0545 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. Celanese has a performance score of 5 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.84, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Celanese will likely underperform. Celanese right now shows a risk of 1.58%. Please confirm Celanese standard deviation, treynor ratio, downside variance, as well as the relationship between the total risk alpha and value at risk , to decide if Celanese will be following its price patterns.
Auto-correlation | 0.22 |
Weak predictability
Celanese has weak predictability. Overlapping area represents the amount of predictability between Celanese time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Celanese price movement. The serial correlation of 0.22 indicates that over 22.0% of current Celanese price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 4.08 |
Celanese lagged returns against current returns
Autocorrelation, which is Celanese stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Celanese's stock expected returns. We can calculate the autocorrelation of Celanese returns to help us make a trade decision. For example, suppose you find that Celanese has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Celanese regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Celanese stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Celanese stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Celanese stock over time.
Current vs Lagged Prices |
| Timeline |
Celanese Lagged Returns
When evaluating Celanese's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Celanese stock have on its future price. Celanese autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Celanese autocorrelation shows the relationship between Celanese stock current value and its past values and can show if there is a momentum factor associated with investing in Celanese.
Regressed Prices |
| Timeline |
Celanese Investors Sentiment
The influence of Celanese's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Celanese. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Celanese's public news can be used to forecast risks associated with an investment in Celanese. The trend in average sentiment can be used to explain how an investor holding Celanese can time the market purely based on public headlines and social activities around Celanese. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Celanese's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Celanese's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Celanese's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Celanese.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Celanese in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Celanese's short interest history, or implied volatility extrapolated from Celanese options trading.
Pair Trading with Celanese
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Celanese position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Celanese will appreciate offsetting losses from the drop in the long position's value.Moving together with Celanese Stock
| 0.63 | AA | Alcoa Corp Financial Report 17th of July 2024 | PairCorr |
| 0.74 | AU | AngloGold Ashanti plc Financial Report 28th of June 2024 | PairCorr |
Moving against Celanese Stock
| 0.68 | X | United States Steel Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Celanese could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Celanese when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Celanese - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Celanese to buy it.
The correlation of Celanese is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Celanese moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Celanese moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Celanese can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Celanese Correlation, Celanese Volatility and Celanese Alpha and Beta module to complement your research on Celanese. For information on how to trade Celanese Stock refer to our How to Trade Celanese Stock guide.Note that the Celanese information on this page should be used as a complementary analysis to other Celanese's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Complementary Tools for Celanese Stock analysis
When running Celanese's price analysis, check to measure Celanese'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 Celanese is operating at the current time. Most of Celanese's value examination focuses on studying past and present price action to predict the probability of Celanese's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Celanese's price. Additionally, you may evaluate how the addition of Celanese to your portfolios can decrease your overall portfolio volatility.
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Celanese technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.