United Airlines Holdings Stock Market Value
| UAL Stock | USD 54.62 0.35 0.64% |
| Symbol | United |
United Airlines Holdings Price To Book Ratio
Is United Airlines' 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 United Airlines. If investors know United 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 United Airlines 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 (0.29) | Earnings Share 8.19 | Revenue Per Share 167.143 | Quarterly Revenue Growth 0.097 | Return On Assets 0.0477 |
The market value of United Airlines Holdings is measured differently than its book value, which is the value of United that is recorded on the company's balance sheet. Investors also form their own opinion of United Airlines' value that differs from its market value or its book value, called intrinsic value, which is United Airlines' 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 United Airlines' market value can be influenced by many factors that don't directly affect United Airlines' 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 United Airlines' value and its price as these two are different measures arrived at by different means. Investors typically determine if United Airlines is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, United Airlines' 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.
United Airlines '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 United Airlines' 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 United Airlines.
| 04/21/2024 |
| 05/21/2024 |
If you would invest 0.00 in United Airlines on April 21, 2024 and sell it all today you would earn a total of 0.00 from holding United Airlines Holdings or generate 0.0% return on investment in United Airlines over 30 days. United Airlines is related to or competes with American Airlines, Southwest Airlines, JetBlue Airways, Spirit Airlines, Delta Air, and Frontier Group. United Airlines Holdings, Inc., through its subsidiaries, provides air transportation services in North America, Asia, E... More
United Airlines 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 United Airlines' 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 United Airlines Holdings upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.78 | |||
| Information Ratio | 0.1121 | |||
| Maximum Drawdown | 20.3 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 4.71 |
United Airlines Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for United Airlines' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as United Airlines' standard deviation. In reality, there are many statistical measures that can use United Airlines historical prices to predict the future United Airlines' volatility.| Risk Adjusted Performance | 0.0874 | |||
| Jensen Alpha | 0.2853 | |||
| Total Risk Alpha | 0.0489 | |||
| Sortino Ratio | 0.1863 | |||
| Treynor Ratio | 0.2373 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of United Airlines' 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.
United Airlines Holdings Backtested Returns
United Airlines appears to be very steady, given 3 months investment horizon. United Airlines Holdings owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for United Airlines Holdings, which you can use to evaluate the volatility of the company. Please review United Airlines' Semi Deviation of 1.46, coefficient of variation of 722.4, and Risk Adjusted Performance of 0.0874 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, United Airlines holds a performance score of 10. The entity has a beta of 1.69, which indicates 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, United Airlines will likely underperform. Please check United Airlines' semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether United Airlines' existing price patterns will revert.
Auto-correlation | -0.61 |
Very good reverse predictability
United Airlines Holdings has very good reverse predictability. Overlapping area represents the amount of predictability between United Airlines time series from 21st of April 2024 to 6th of May 2024 and 6th of May 2024 to 21st of May 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 United Airlines Holdings price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current United Airlines price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.94 |
United Airlines Holdings lagged returns against current returns
Autocorrelation, which is United Airlines 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 United Airlines' stock expected returns. We can calculate the autocorrelation of United Airlines returns to help us make a trade decision. For example, suppose you find that United Airlines 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 |
United Airlines 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 United Airlines stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if United Airlines stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in United Airlines stock over time.
Current vs Lagged Prices |
| Timeline |
United Airlines Lagged Returns
When evaluating United Airlines' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of United Airlines stock have on its future price. United Airlines 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, United Airlines autocorrelation shows the relationship between United Airlines stock current value and its past values and can show if there is a momentum factor associated with investing in United Airlines Holdings.
Regressed Prices |
| Timeline |
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Check out United Airlines Correlation, United Airlines Volatility and United Airlines Alpha and Beta module to complement your research on United Airlines. Note that the United Airlines Holdings information on this page should be used as a complementary analysis to other United Airlines' 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Complementary Tools for United Stock analysis
When running United Airlines' price analysis, check to measure United Airlines' 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 United Airlines is operating at the current time. Most of United Airlines' value examination focuses on studying past and present price action to predict the probability of United Airlines' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move United Airlines' price. Additionally, you may evaluate how the addition of United Airlines to your portfolios can decrease your overall portfolio volatility.
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United Airlines 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.