Azul Sa Stock Market Value
| AZUL Stock | USD 2.35 0.26 9.96% |
| Symbol | Azul |
Azul SA Price To Book Ratio
Is Passenger Airlines 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 Azul SA. If investors know Azul 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 Azul SA 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 (0.56) | Earnings Share (8.46) | Revenue Per Share 161.325 | Quarterly Revenue Growth (0.02) | Return On Assets 0.0685 |
The market value of Azul SA is measured differently than its book value, which is the value of Azul that is recorded on the company's balance sheet. Investors also form their own opinion of Azul SA's value that differs from its market value or its book value, called intrinsic value, which is Azul SA'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 Azul SA's market value can be influenced by many factors that don't directly affect Azul SA'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 Azul SA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Azul SA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Azul SA'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.
Azul SA '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 Azul SA'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 Azul SA.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Azul SA on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Azul SA or generate 0.0% return on investment in Azul SA over 30 days. Azul SA is related to or competes with Canadian Pacific, Werner Enterprises, Canadian National, and CSX. Azul S.A., together with its subsidiaries, provides passenger and cargo transportation services in Brazil More
Azul SA 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 Azul SA'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 Azul SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 41.88 | |||
| Value At Risk | (9.61) | |||
| Potential Upside | 10.51 |
Azul SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Azul SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Azul SA's standard deviation. In reality, there are many statistical measures that can use Azul SA historical prices to predict the future Azul SA's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.80) | |||
| Total Risk Alpha | (1.72) | |||
| Treynor Ratio | (0.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Azul SA'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.
Azul SA Backtested Returns
As of now, Azul Stock is unstable. Azul SA secures Sharpe Ratio (or Efficiency) of 0.0124, which signifies that the company had a 0.0124% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Azul SA, which you can use to evaluate the volatility of the firm. Please confirm Azul SA's Standard Deviation of 7.35, mean deviation of 4.79, and Risk Adjusted Performance of (0.04) to double-check if the risk estimate we provide is consistent with the expected return of 0.083%. The firm shows a Beta (market volatility) of 2.34, 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, Azul SA will likely underperform. Azul SA right now shows a risk of 6.7%. Please confirm Azul SA treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Azul SA will be following its price patterns.
Auto-correlation | -0.31 |
Poor reverse predictability
Azul SA has poor reverse predictability. Overlapping area represents the amount of predictability between Azul SA time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Azul SA price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Azul SA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Azul SA lagged returns against current returns
Autocorrelation, which is Azul SA 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 Azul SA's stock expected returns. We can calculate the autocorrelation of Azul SA returns to help us make a trade decision. For example, suppose you find that Azul SA 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 |
Azul SA 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 Azul SA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Azul SA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Azul SA stock over time.
Current vs Lagged Prices |
| Timeline |
Azul SA Lagged Returns
When evaluating Azul SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Azul SA stock have on its future price. Azul SA 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, Azul SA autocorrelation shows the relationship between Azul SA stock current value and its past values and can show if there is a momentum factor associated with investing in Azul SA.
Regressed Prices |
| Timeline |
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Azul SA 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.